PSO optimized reduced order PID Controller design
Directory of Open Access Journals (Sweden)
Yogendra Kumar Soni
2013-03-01
Full Text Available A novel algorithm is proposed to obtain a reduced model for stable linear time invariant continuous system. A PSO PID controller is designed for the reduced order model to meet the desired performance specifications by using PSO Optimization method. This controller is designed with the reduced order model and closed loop response is observed .The parameters of the controller are tuned to obtain a response with desired performance specifications .The results satisfy our design criteria .The same PID controller parameter is applied to original higher order system and the closed loop response is observed for to stabilize system.
PSO optimized reduced order PID Controller design
Yogendra Kumar Soni; Rajesh Bhatt
2013-01-01
A novel algorithm is proposed to obtain a reduced model for stable linear time invariant continuous system. A PSO PID controller is designed for the reduced order model to meet the desired performance specifications by using PSO Optimization method. This controller is designed with the reduced order model and closed loop response is observed .The parameters of the controller are tuned to obtain a response with desired performance specifications .The results satisfy our design criteria .The...
PID control new identification and design methods
Johnson, Michael A
2006-01-01
Demand for this book will be generated by the widespread use of PID in industry and because of the modern need for simple control systems to control a wider range of complex industrial processes and systems.
Design of aerospace control systems using fractional PID controller
Directory of Open Access Journals (Sweden)
Magdy A.S. Aboelela
2012-07-01
Full Text Available The goal is to control the trajectory of the flight path of six degree of freedom flying body model using fractional PID. The design of fractional PID controller for the six degree of freedom flying body is described. The parameters of fractional PID controller are optimized by particle swarm optimization (PSO method. In the optimization process, various objective functions were considered and investigated to reflect both improved dynamics of the missile system and reduced chattering in the control signal of the controller.
The design of PID control for container CT inspection system
International Nuclear Information System (INIS)
This paper introduces briefly the principles of container CT inspection system, and illustrates the composing of the PID control subsystem. It also introduces the control algorithm of PID controller and the method of adjusting PID parameters in detail. It is proved that the rapid response and the high accuracy of locating can be met by using PID controller with appropriate PID parameters. (authors)
Optimal PID Controller designing for voltage control of Fuel Cell
Directory of Open Access Journals (Sweden)
Omid Khezri
2014-12-01
Full Text Available This paper is proposed a PID optimal controller in order to control of one of the most important types of fuel cell, namely proton exchange membrane fuel cell (PEMFC. At first, the introducing and implementation of PEMFC is present and next, during system load variations the proposed controller is designed. The controller should be designed against the load variations for keeping in a fixed value of Fuel cell output voltage. Here, the PID Controller is used which its coefficients are optimized based on Invasive Weed Optimization (IWO. In order to use this algorithm, at first, problem is written as an optimization problem which includes the objective function and constraints, and then to achieve the most desirable controller, IWO algorithm is applied to solve the problem. Simulation results are done for various loads in time domain, and the results show the efficiency of the proposed controller in contrast to the previous controllers.
On PID Controller Design Using Knowledge Based Fuzzy System
Directory of Open Access Journals (Sweden)
Jana Nowakova
2012-01-01
Full Text Available The designing of PID controllers is a frequently discussed problem. Many of design methods have been developed, classic (analytical tuning methods, optimization methods etc. or not so common fuzzy knowledge based methods which are designed to achieve good setpoint following, corresponding time response etc. In this case, the new way of designing PID controller parameters is created where the above mentioned knowledge system based on relations of Ziegler-Nichols design methods is used, more precisely the combination of the both Ziegler-Nichols methods. The proof of efficiency of a proposed method and a numerical experiment is presented.
Design of a PID Controller for a PCR Micro Reactor
Dinca, M. P.; Gheorghe, M.; Galvin, P.
2009-01-01
Proportional-integral-derivative (PID) controllers are widely used in process control, and consequently they are described in most of the textbooks on automatic control. However, rather than presenting the overall design process, the examples given in such textbooks are intended to illuminate specific focused aspects of selection, tuning and…
Simulated Annealing optimized PID Controller design using ISE, IAE, IATE and MSE error criteria
Yogendra Kumar Soni, Rajesh Bhatt
2013-01-01
A PID controller is designed using ISE, IAE, ITAE and MSE error criteria for stable linear time invariant continuous system. A Simulated Annealing PID controller is designed for the plant to meet the desired performance specifications by using SA optimization method. PID controller gain parameters Kp,Ki,Kd are designed and applied to the PID controller system .The PID controller closed loop response is observed for ISE, IAE, IATE and MSE error criteria. A comparison of system performance obse...
Genetic Design of Neural PID plus Feed Forward Controllers
Naim Ajlouni; Sadeq Al-Hamouz
2004-01-01
Evolutionary techniques are proposed in a new and novel paradigm to solve the problem of designing a robust neural PID plus feed forward controller for a plant with prescribed plant parameter uncertainties. The evolutionary scheme used, involves generating two separate populations, one representing the controller and the other the plant. The controller population is then evolved against a fixed population of plants representing the uncertainty space, such that the controller can control all t...
A General Method for Designing Fractional Order PID Controller
Marzieh Safaei; Saeed Hosseinia; Mojtaba Hosseini Toodeshki
2013-01-01
The idea of using fractional order calculus in control became apparent when this kind of calculus was accepted as a powerful tool in many applications. This resulted in a new generation of PID controller called fractional order PID Controller, named as Controller. controller is more flexible and provides a better response with larger stability region as compared with standard PID controller. This paper presents a simple and reliable method for finding the family of controllers. The required...
Design of Fuzzy PID controller to control DC motor with zero overshoot
Meenakshi Chourasiya; Prof. Shweta karnik
2014-01-01
Most of the real time operation based physical system, digital PID is used in field such as servo-motor/dc motor/temperature control system, robotics, power electronics etc. need to interface with high speed constraints, higher density PLD’s such as FPGA used to integrate several logics on single IC. There are some limitations in it to overcome these limitations Fuzzy logic is introduced with PID and Fuzzy PID is formed. This paper explains experimental design of Fuzzy PID c...
A CASE STUDY ON DESIGN AND EVALUATION OF MODIFIED ADAPTIVE FUZZY PID CONTROLLER
Dr.Pankaj Rai; Durgesh Nandan
2012-01-01
Most of process control systems are based on PID controllers, because of their remarkable effectiveness, simplicity and robustness, As PID controller design theory and practical procedures are well developed, it is necessary to pay attention on fuzzy logic controller design and its applications in combinations with PID controllers. There is also necessity to develop adaptive fuzzy PID Controllers, which can automatically retune itself to match the current process characteristics. In...
Design and optimization of fuzzy-PID controller for the nuclear reactor power control
International Nuclear Information System (INIS)
This paper introduces a fuzzy proportional-integral-derivative (fuzzy-PID) control strategy, and applies it to the nuclear reactor power control system. At the fuzzy-PID control strategy, the fuzzy logic controller (FLC) is exploited to extend the finite sets of PID gains to the possible combinations of PID gains in stable region and the genetic algorithm to improve the 'extending' precision through quadratic optimization for the membership function (MF) of the FLC. Thus the FLC tunes the gains of PID controller to adapt the model changing with the power. The fuzzy-PID has been designed and simulated to control the reactor power. The simulation results show the favorable performance of the fuzzy-PID controller.
Design New Intelligent PID like Fuzzy Backstepping Controller
Arzhang Khajeh; Farzin Piltan; Mohammad Reza Rashidian; Afsaneh Salehi; Ehsan pouladi
2014-01-01
The minimum rule base Proportional Integral Derivative (PID) Fuzzy backstepping Controller is presented in this research. The popularity of PID Fuzzy backstepping controller can be attributed to their robust performance in a wide range of operating conditions and partly to their functional simplicity. The process of setting of PID Fuzzy backstepping controller can be determined as an optimization task. Over the years, use of intelligent strategies for tuning of these controllers has been grow...
BF-PSO optimized PID Controller design using ISE, IAE, IATE and MSE error criteria
Yogendra Kumar Soni, Rajesh Bhatt
2013-01-01
A PID controller is designed using ISE, IAE, ITAE and MSE error criteria for stable linear time invariant continuous system. A BF-PSO PID controller is designed for the plant to meet the desired performance specifications by using BF-PSO optimization algorithm. PID controller gain parameters Kp,Ki,Kd are designed and applied to the PID controller system .The PID controller closed loop response is observed for ISE, IAE, IATE and MSE error criteria. A comparison of system performance observed f...
BF-PSO optimized PID Controller design using ISE, IAE, IATE and MSE error criteria
Directory of Open Access Journals (Sweden)
Yogendra Kumar Soni , Rajesh Bhatt
2013-07-01
Full Text Available A PID controller is designed using ISE, IAE, ITAE and MSE error criteria for stable linear time invariant continuous system. A BF-PSO PID controller is designed for the plant to meet the desired performance specifications by using BF-PSO optimization algorithm. PID controller gain parameters Kp,Ki,Kd are designed and applied to the PID controller system .The PID controller closed loop response is observed for ISE, IAE, IATE and MSE error criteria. A comparison of system performance observed for all four criteria.
Simulated Annealing optimized PID Controller design using ISE, IAE, IATE and MSE error criteria
Directory of Open Access Journals (Sweden)
Yogendra Kumar Soni , Rajesh Bhatt
2013-07-01
Full Text Available A PID controller is designed using ISE, IAE, ITAE and MSE error criteria for stable linear time invariant continuous system. A Simulated Annealing PID controller is designed for the plant to meet the desired performance specifications by using SA optimization method. PID controller gain parameters Kp,Ki,Kd are designed and applied to the PID controller system .The PID controller closed loop response is observed for ISE, IAE, IATE and MSE error criteria. A comparison of system performance observed for all four criteria.
Design of Fuzzy PID controller to control DC motor with zero overshoot
Directory of Open Access Journals (Sweden)
Meenakshi Chourasiya
2014-10-01
Full Text Available Most of the real time operation based physical system, digital PID is used in field such as servo-motor/dc motor/temperature control system, robotics, power electronics etc. need to interface with high speed constraints, higher density PLD’s such as FPGA used to integrate several logics on single IC. There are some limitations in it to overcome these limitations Fuzzy logic is introduced with PID and Fuzzy PID is formed. This paper explains experimental design of Fuzzy PID controller. We aimed to make controller power efficient, more compact, and zero overshoot. MATLAB is used to design PID controller to calculate and plot the time response of the control system and Simulink to generate a set of coefficients.
Design New Intelligent PID like Fuzzy Backstepping Controller
Directory of Open Access Journals (Sweden)
Arzhang Khajeh
2014-02-01
Full Text Available The minimum rule base Proportional Integral Derivative (PID Fuzzy backstepping Controller is presented in this research. The popularity of PID Fuzzy backstepping controller can be attributed to their robust performance in a wide range of operating conditions and partly to their functional simplicity. The process of setting of PID Fuzzy backstepping controller can be determined as an optimization task. Over the years, use of intelligent strategies for tuning of these controllers has been growing. PID methodology has three inputs and if any input is described with seven linguistic values, and any rule has three conditions we will need 7 × 7 × 7 = 343 rules. It is too much work to write 343 rules. In this research the PID-like fuzzy controller can be constructed as a parallel structure of a PD-like fuzzy controller and a PI-like controller to have the minimum rule base. However backstepping controller is work based on cancelling decoupling and nonlinear terms of dynamic parameters of each link, this controller is work based on manipulator dynamic model and this technique is highly sensitive to the knowledge of all parameters of nonlinear robot manipulator’s dynamic equation. This research is used to reduce or eliminate the backstepping controller problem based on minimum rule base fuzzy logic theory to control of flexible robot manipulator system and testing of the quality of process control in the simulation environment of MATLAB/SIMULINK Simulator.
Design Control And Modeling Of Three Phase Bldc Motor Applications Using Pid
S Sathish Kumar, Dr R. Meenakumari
2013-01-01
Abstract:The research paper is to develop a complete model of the BLDC motor and to design controller for its position control. PID controllers used for many control problems because of its simple structure, implementation. In practical, we often do not get the optimum performance with the conventionally tuned PID controllers. The efficiency of this method is compared with that of traditional method. I predict results showed that PID control tuned by GA somewhat efficient closed loop response...
A General Method for Designing Fractional Order PID Controller
Directory of Open Access Journals (Sweden)
Marzieh Safaei
2013-01-01
Full Text Available The idea of using fractional order calculus in control became apparent when this kind of calculus was accepted as a powerful tool in many applications. This resulted in a new generation of PID controller called fractional order PID Controller, named as Controller. controller is more flexible and provides a better response with larger stability region as compared with standard PID controller. This paper presents a simple and reliable method for finding the family of controllers. The required calculations are done in frequency domain based on frequency response of the system and the stability region is specified in the parameters space. This method can be used for time-delay systems and, more generally, for any system with no transfer function.
Adaptive robust PID controller design based on a sliding mode for uncertain chaotic systems
International Nuclear Information System (INIS)
A robust adaptive PID controller design motivated from the sliding mode control is proposed for a class of uncertain chaotic systems in this paper. Three PID control gains, K p, K i, and K d, are adjustable parameters and will be updated online with an adequate adaptation mechanism to minimize a previously designed sliding condition. By introducing a supervisory controller, the stability of the closed-loop PID control system under with the plant uncertainty and external disturbance can be guaranteed. Finally, a well-known Duffing-Holmes chaotic system is used as an illustrative to show the effectiveness of the proposed robust adaptive PID controller
Design of high-speed and low-power finite-word-length PID controllers.
K. Oudjida, Abdelkrim; Chaillet, Nicolas; Liacha, Ahmed; L. Berrandjia, Mohamed; Hamerlain, Mustapha
2014-01-01
ASIC or FPGA implementation of a finite word-length PID controller requires a double expertise : in control system and hardware design. In this paper, we only focus on the hardware side of the problem. We show how to design configurable fixed-point PIDs to satisfy application srequiring minimal power consumption, or high control-rate, or both together. As multiply operation is the engine of PID, we experienced three algorithms : Booth, modified Booth, and a new recursive multi-bit multiplicat...
PID controller design for trailer suspension based on linear model
Kushairi, S.; Omar, A. R.; Schmidt, R.; Isa, A. A. Mat; Hudha, K.; Azizan, M. A.
2015-05-01
A quarter of an active trailer suspension system having the characteristics of a double wishbone type was modeled as a complex multi-body dynamic system in MSC.ADAMS. Due to the complexity of the model, a linearized version is considered in this paper. A model reduction technique is applied to the linear model, resulting in a reduced-order model. Based on this simplified model, a Proportional-Integral-Derivative (PID) controller was designed in MATLAB/Simulink environment; primarily to reduce excessive roll motions and thus improving the ride comfort. Simulation results show that the output signal closely imitates the input signal in multiple cases - demonstrating the effectiveness of the controller.
Fuzzy Auto-adjust PID Controller Design of Brushless DC Motor
Yuanxi, Wang; Yali, Yu; Guosheng, Zhang; Xiaoliang, Sheng
Using conventional PID control method, to guarantee the rapidity and small overshoot dynamic and static performance of the BLDCM (brushless DC motor) system is out of the question. The control method to combine fuzzy control with PID control was fit the multivariable strong coupling nonlinear characteristic of BLDCM system. Matlab/Simulink simulation model had been built. The result of computer simulation shows that, compared with the conventional PID controller, the dynamic and static performance of fuzzy auto-adjust PID controller are put forward to optimize. The research work of this paper has profound significance for high precision controller design.
CAS algorithm-based optimum design of PID controller in AVR system
Energy Technology Data Exchange (ETDEWEB)
Zhu Hui [Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, P.O. Box 145, Beijing 100876 (China); Key Laboratory of Network and Information Attack and Defence Technology of Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876 (China); National Engineering Laboratory for Disaster Backup and Recovery, Beijing 100876 (China)], E-mail: zhuhui05608@hotmail.com; Li Lixiang; Zhao Ying; Guo Yu; Yang Yixian [Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, P.O. Box 145, Beijing 100876 (China); Key Laboratory of Network and Information Attack and Defence Technology of Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876 (China); National Engineering Laboratory for Disaster Backup and Recovery, Beijing 100876 (China)
2009-10-30
This paper presents a novel design method for determining the optimal PID controller parameters of an automatic voltage regulator (AVR) system using the chaotic ant swarm (CAS) algorithm. In the tuning process of parameters, the CAS algorithm is iterated to give the optimal parameters of the PID controller based on the fitness theory, where the position vector of each ant in the CAS algorithm corresponds to the parameter vector of the PID controller. The proposed CAS-PID controllers can ensure better control system performance with respect to the reference input in comparison with GA-PID controllers. Numerical simulations are provided to verify the effectiveness and feasibility of PID controller based on CAS algorithm.
CAS algorithm-based optimum design of PID controller in AVR system
International Nuclear Information System (INIS)
This paper presents a novel design method for determining the optimal PID controller parameters of an automatic voltage regulator (AVR) system using the chaotic ant swarm (CAS) algorithm. In the tuning process of parameters, the CAS algorithm is iterated to give the optimal parameters of the PID controller based on the fitness theory, where the position vector of each ant in the CAS algorithm corresponds to the parameter vector of the PID controller. The proposed CAS-PID controllers can ensure better control system performance with respect to the reference input in comparison with GA-PID controllers. Numerical simulations are provided to verify the effectiveness and feasibility of PID controller based on CAS algorithm.
A design method of compensators for multi-variable control system with PID controllers 'CHARLY'
International Nuclear Information System (INIS)
A systematic design method of compensators for a multi-variable control system having usual PID controllers in its loops is presented in this paper. The method itself is able: to determine the main manipulating variable corresponding to each controlled variable with a sensitivity analysis in the frequency domain. to tune PID controllers sufficiently to realize adequate control actions with a searching technique of minimum values of cost functionals. to design compensators improving the control preformance and to simulate a total system for confirming the designed compensators. In the phase of compensator design, the state variable feed-back gain is obtained by means of the OPTIMAL REGULATOR THEORY for the composite system of plant and PID controllers. The transfer function type compensators the configurations of which were previously given are, then, designed to approximate the frequency responces of the above mentioned state feed-back system. An example is illustrated for convenience. (author)
Scientific Electronic Library Online (English)
Leonardo F., Lozano-Valencia; Luis F., Rodríguez-García; Dídier, Giraldo-Buitrago.
2012-06-01
Full Text Available En este artículo se presenta el diseño y la implementación de un controlador PID autosintonizado. La metodología propuesta utiliza el método de mínimos cuadrados con reinicio de covarianza y el diseño por reubicación de polos para el cálculo de los parámetros del controlador. El diseño propuesto se [...] implementa en sistemas estables e inestables simulados en un computador análogo COMDYNA GP-6, y se presenta una comparación del desempeño del controlador autosintonizado y un controlador PID clásico en términos del error medio cuadrático. Los resultados obtenidos muestran que los controladores de parámetros adaptativos tienen una mejor respuesta que los controladores de parámetros fijos frente a variaciones de parámetros que puedan afectar las condiciones del sistema. Abstract in english In this paper the design and the implementation of a self-tuning PID controller is presented. The proposed methodology uses a least squares method with covariance resetting and a pole placement design for the calculation of controller parameters. The proposed design is implemented on stable and unst [...] able systems simulated in a COMDYNA GP-6 analog computer, and a comparison of the performance of the self-tuning controller and a classic PID controller is presented in terms of root mean square error. The obtained results show that controllers of adaptive parameters have a better response than controllers of fixed parameters with respect to parameter variations that may affect the conditions of the system.
Design of Adaptive Fuzzy PID Controller for Speed control of BLDC Motor
Kandiban, R.; Arulmozhiyal, R.
2012-01-01
Brushless DC motors (BLDCM) are widely used for many industrial applications because of their high efficiency, high torque and low volume. This paper proposed an improved Adaptive Fuzzy PID controller to control speed of BLDCM. This paper provides an overview of performance conventional PID controller, Fuzzy PID controller and Adaptive Fuzzy PID controller. It is difficult to tune the parameters and get satisfied control characteristics by using normal conventional PID controller. As the Adap...
Tuning of Fuzzy PID Controllers
DEFF Research Database (Denmark)
Jantzen, Jan
1998-01-01
Since fuzzy controllers are nonlinear, it is more difficult to set the controller gains compared to proportional-integral-derivative (PID) controllers. This research paper proposes a design procedure and a tuning procedure that carries tuning rules from the PID domain over to fuzzy single-loop controllers. The idea is to start with a tuned, conventional PID controller, replace it with an equivalent linear fuzzy controller, make the fuzzy controller nonlinear, and eventually fine-tune the nonlinear fuzzy controller. This is relevant whenever a PID controller is possible or already implemented.
Design and Experimental Evaluation of a Self-Tuning Controller Supplementing a Robust PID Controller
Namba, Ryosuke; Yamamoto, Toru; Kaneda, Masahiro
PID controllers have been widely used in many chemical processes. Because they have only three control parameters and their physical meanings can be easily grasped. However, it is difficult to tune those parameters practically, since the process dynamics often change due to operating conditions or various disturbances. For this problem, a design method of robust PID controllers has been already proposed by the authors in order to guarantee the stability of the control system. However, as that control method is conservative, the desirable setpoint response can not be always obtained. In this paper, a design scheme of a self-tuning pre-filter is proposed to supplement the robust PID controller based on the two-degree-of-freedom control scheme. According to the proposed scheme, the transient property for the setpoint response can be improved keeping the robust stability. Finally, the proposed scheme is experimentally evaluated on an air pressure control system.
Design Control And Modeling Of Three Phase Bldc Motor Applications Using Pid
Directory of Open Access Journals (Sweden)
S.SATHISH KUMAR, DR.R.MEENAKUMARI, P.RAVIKUMAR.AP, V.KRISHNAVENI, K.KIRUTHIKA
2013-08-01
Full Text Available Abstract:The research paper is to develop a complete model of the BLDC motor and to design controller for its position control. PID controllers used for many control problems because of its simple structure, implementation. In practical, we often do not get the optimum performance with the conventionally tuned PID controllers. The efficiency of this method is compared with that of traditional method. I predict results showed that PID control tuned by GA somewhat efficient closed loop response for position control of BLDC motor. The modeling, control and simulation of the BLDC motor have been done using the software.
Yasir Khudhair Abbas
2012-01-01
In this paper, an intelligent tracking control system of both single- and double-axis Piezoelectric Micropositioner stage is designed using Genetic Algorithms (GAs) method for the optimal Proportional-Integral-Derivative (PID) controller tuning parameters. The (GA)-based PID control design approach is a methodology to tune a (PID) controller in an optimal control sense with respect to specified objective function. By using the (GA)-based PID control approach, the high-performance trajectory t...
Design of the Glass Batching-Material System Based Fuzzy-PID Combined Control
Directory of Open Access Journals (Sweden)
Zhisong Hou
2013-06-01
Full Text Available According to the traditional control methods of batching-material system exists defects low precision and bad real-time, this paper has proposed the combined control algorithm. This paper has designed a Fuzzy-PID control Glass batching-material system by using of combining the traditional PID and the Fuzzy control algorithm. The system uses expert system of online learning and adjusts automatically the control parameters, realize the best combination controlling precision and speed. The actual operation result of the system has proved the feasibility and validity of the Fuzzy-PID combined control.
Design of fuzzy PID controller for high temperature pebble bed reactor
International Nuclear Information System (INIS)
Control system is most important characteristic to be considered to control spontaneous fission reaction in the design of the nuclear reactor. Recently fuzzy based control systems have been designed and applied as control system for nuclear plants. This article emphasize on controlling the power of the high temperature pebble bed reactor (HTPBR) with the design of Fuzzy proportional integral derivative (PID) controller. A simplified reactor model with point kinetics equation and reactor heat balance equation is used. The reactivity feedback arising from power coefficient of reactivity and Xenon poisoning is also considered. The reactor is operated at various power levels by using fuzzy PID controller. The fuzzy logic eliminates the necessity of the tuning the gains of PID controller each time by extending the finite sets of the PID controller gains
Design of the Glass Batching-Material System Based Fuzzy-PID Combined Control
Zhisong Hou; Yanchang Liu; Qigao Feng
2013-01-01
According to the traditional control methods of batching-material system exists defects low precision and bad real-time, this paper has proposed the combined control algorithm. This paper has designed a Fuzzy-PID control Glass batching-material system by using of combining the traditional PID and the Fuzzy control algorithm. The system uses expert system of online learning and adjusts automatically the control parameters, realize the best combination controlling precision and speed. The actua...
Design Of PID Controlled Power System Stabilizer For Stability Studies Using Genetic Algorithm
Directory of Open Access Journals (Sweden)
NITHIN. N
2014-09-01
Full Text Available This paper presents the design of a PID controlled Power System Stabilizer (PSS for stabilization of power systems. Both controllers have been designed for a single machine infinite bus system as well as for a two area interconnected thermal-thermal power system. The controller parameters of both PID and PSS are tuned using genetic algorithm. Simulation results are presented to show the effectiveness of the controllers in stabilizing the power system oscillations.
Fliess, Michel; Join, Ce?dric
2008-01-01
Intelligent PID controllers, or i-PID controllers, are PID controllers where the unknown parts of the plant, which might be highly nonlinear and/or time-varying, are taken into account without any modeling procedure. Our main tool is an online numerical differentiator, which is based on easily implementable fast estimation and identification techniques. Several numerical experiments demonstrate the efficiency of our method when compared to more classic PID regulators.
Research Trends for PID Controllers
Directory of Open Access Journals (Sweden)
Antonio Visioli
2012-01-01
Full Text Available This paper analyses the most significant issues that have been recently been addressed by researchers in the field of Proportional-Integral-Derivative (PID controllers. In particular, the most recent techniques proposed for tuning and designing PID-based control structures are briefly reviewed, together with methods for assessing their performance. Finally, fractional-order and event-based PID controllers are presented among the most significant developments in the field.
Research Trends for PID Controllers
Antonio Visioli
2012-01-01
This paper analyses the most significant issues that have been recently been addressed by researchers in the field of Proportional-Integral-Derivative (PID) controllers. In particular, the most recent techniques proposed for tuning and designing PID-based control structures are briefly reviewed, together with methods for assessing their performance. Finally, fractional-order and event-based PID controllers are presented among the most significant developments in the field.
Design and clinical evaluation of robust PID control of propofol anesthesia in children
Heusden, Klaske; Dumont, Guy A.; Soltesz, Kristian; Petersen, Christian L.; Umedaly, Aryannah; West, Nicholas; Ansermino, J. Mark
2014-01-01
This paper describes the design of a robust PID controller for propofol infusion in children and presents the results of clinical evaluation of this closed-loop system during endoscopic investigations in children age 6y-17y. The controller design is based on a set of models that describes the inter- patient variability in the response to propofol infusion in the study population. The PID controller is tuned to achieve sufficient robustness margins for the identified uncertainty. 108 children ...
Design of Adaptive Fuzzy PID Controller for Speed control of BLDC Motor
Directory of Open Access Journals (Sweden)
R. Kandiban
2012-03-01
Full Text Available Brushless DC motors (BLDCM are widely used for many industrial applications because of their high efficiency, high torque and low volume. This paper proposed an improved Adaptive Fuzzy PID controller to control speed of BLDCM. This paper provides an overview of performance conventional PID controller, Fuzzy PID controller and Adaptive Fuzzy PID controller. It is difficult to tune the parameters and get satisfied control characteristics by using normal conventional PID controller. As the Adaptive Fuzzy has the ability to satisfied control characteristics and it is easy for computing. The experimental results verify that a Adaptive Fuzzy PID controller has better control performance than the both Fuzzy PID controller and conventional PID controller. The modeling, control and simulation of the BLDC motor have been done using the software package MATLAB/SIMULINK.
Optimal PID control design for synchronization of delayed discrete chaotic systems
International Nuclear Information System (INIS)
This paper is concerned with the design of a proportional-integral-derivative (PID) controller for synchronization of delayed discrete chaotic models. The evolutionary programming algorithm (EPA) has been considered as a useful technique for finding global optimization solutions for certain complicated functions in recent years. Therefore, in this paper, we attempt to use the EP algorithm in PID control design for deriving optimal or near optimal PID control gains such that a performance index between the master and slave chaotic systems is minimized. A numerical result exemplifies the synchronization procedure
Chakraborty, Mithun; Maiti, Deepyaman; Konar, Amit
2008-01-01
The Proportional-Integral-Derivative Controller is widely used in industries for process control applications. Fractional-order PID controllers are known to outperform their integer-order counterparts. In this paper, we propose a new technique of fractional-order PID controller synthesis based on peak overshoot and rise-time specifications. Our approach is to construct an objective function, the optimization of which yields a possible solution to the design problem. This obj...
Frequency-domain Model Matching PID Controller Design for Aero-engine
Liu, Nan; Huang, Jinquan; Lu, Feng
2014-12-01
The nonlinear model of aero-engine was linearized at multiple operation points by using frequency response method. The validation results indicate high accuracy of static and dynamic characteristics of the linear models. The improved PID tuning method of frequency-domain model matching was proposed with the system stability condition considered. The proposed method was applied to the design of PID controller of the high pressure rotor speed control in the flight envelope, and the control effects were evaluated by the nonlinear model. Simulation results show that the system had quick dynamic response with zero overshoot and zero steadystate error. Furthermore, a PID-fuzzy switching control scheme for aero-engine was designed, and the fuzzy switching system stability was proved. Simulations were studied to validate the applicability of the multiple PIDs fuzzy switching controller for aero-engine with wide range dynamics.
Design and implementation of a new fuzzy PID controller for networked control systems.
Fadaei, A; Salahshoor, K
2008-10-01
This paper presents a practical network platform to design and implement a networked-based cascade control system linking a Smar Foundation Fieldbus (FF) controller (DFI-302) and a Siemens programmable logic controller (PLC-S7-315-2DP) through Industrial Ethernet to a laboratory pilot plant. In the presented network configuration, the Smar OPC tag browser and Siemens WinCC OPC Channel provide the communicating interface between the two controllers. The paper investigates the performance of a PID controller implemented in two different possible configurations of FF function block (FB) and networked control system (NCS) via a remote Siemens PLC. In the FB control system implementation, the desired set-point is provided by the Siemens Human-Machine Interface (HMI) software (i.e, WinCC) via an Ethernet Modbus link. While, in the NCS implementation, the cascade loop is realized in remote Siemens PLC station and the final element set-point is sent to the Smar FF station via Ethernet bus. A new fuzzy PID control strategy is then proposed to improve the control performances of the networked-based control systems due to an induced transmission delay degradation effect. The proposed strategy utilizes an innovative idea based on sectionalizing the error signal of the step response into three different functional zones. The supporting philosophy behind these three functional zones is to decompose the desired control objectives in terms of rising time, settling time and steady-state error measures maintained by an appropriate PID-type controller in each zone. Then, fuzzy membership factors are defined to configure the control signal on the basis of the fuzzy weighted PID outputs of all three zones. The obtained results illustrate the effectiveness of the proposed fuzzy PID control scheme in improving the performances of the implemented NCS for different transportation delays. PMID:18692184
Md. Selim Hasan; A. S. M. Shariar Kabir Khan; S.M. Shibbir Alam; Mehedi Hasan Pavel
2011-01-01
The objective of this thesis is to investigate and find a solution by designing the intelligentcontroller for controlling water level system, such as neural network. The controller also can bespecifically run under the circumstance of system disturbances. To achieve these objectives, a prototypeof water level control system has been built and implementations of both PID and neural network controlalgorithms are performed. In PID control, Ziegler Nichols tuning method is used to control the sys...
Comparison of tuning methods for design of PID controller as an A VR
International Nuclear Information System (INIS)
The primary means of generator reactive power control is the generator-excitation Control, using Automatic Voltage Regulator (A VR). The role of A VR is to hold the terminal voltage magnitude of Synchronous generator at a specified level. This paper presents the design of a proportional integral-derivative (PID) controller as an A VR. The PID controller has been tuned by various tuning methods. From all methods, PID parameters are computed through various techniques i.e. Process-reaction curve, Closed-loop system, open-loop system gain margin and phase-margin specifications. From these methods, it has been found that Zhaung- Atherton method and Ho, Hang and Cao method are much superior to the conventional Ziegler-Nichols rules. The performance of the controller has been evaluated through Simulation Studies in MATLAB environment. It has been demonstrated that the PID controller, tuned with the said methods, yields highly satisfactory closed-loop performance. (author)
A DESIGN OF ROBUST PID CONTROLLER FOR NON-MINIMUM NETWORK CONTROL SYSTEM
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Deepali Chandrakar
2012-11-01
Full Text Available We have designed a robust PID controller for controlling the delay induced in the Network control system (NCS.A robust PID controller for a Non –Minimum phase system subjected to uncertain delay is presented here. The previous achievements are extended to the Non –Minimum phase plant containing an uncertain delay time with specifications in terms of gain and phase. Controller design to meet the gain phase margin specifications have been demonstrated in the literature [4, 6].Synthesis and analysis presented in this paper, is an extension procedure in [1, 3]. The paper presents optimization in tuning controllers for varying time delay system using simulation. The simulation results show the effectiveness of this compensation method.
A frequency response model matching method for PID controller design for processes with dead-time.
Anwar, Md Nishat; Pan, Somnath
2015-03-01
In this paper, a PID controller design method for the integrating processes based on frequency response matching is presented. Two approaches are proposed for the controller design. In the first approach, a double feedback loop configuration is considered where the inner loop is designed with a stabilizing gain. In the outer loop, the parameters of the PID controller are obtained by frequency response matching between the closed-loop system with the PID controller and a reference model with desired specifications. In the second approach, the design is directly carried out considering a desired load-disturbance rejection model of the system. In both the approaches, two low frequency points are considered for matching the frequency response, which yield linear algebraic equations, solution of which gives the controller parameters. Several examples are taken from the literature to demonstrate the effectiveness and to compare with some well known design methods. PMID:25441218
Gain Scheduled PID Controller Design by Data-Driven Loop-Shaping Method
Saeki, Masami; Ogawa, Kyosuke
In this paper, a gain scheduled PID control system is constructed for a nonlinear plant whose steady state changes by the setpoint change. Our data-driven loop shaping method is applied to the direct design of PID gains using the plant input output response measured at several setpoints. The reference input is used for the scheduling parameter. Usefulness of our method is shown by simulation for a Hammerstein model.
Robust PID control design for permanent magnet synchronous motor: A genetic approach
Energy Technology Data Exchange (ETDEWEB)
Jan, Rong-Maw; Tseng, Chung-Shi; Liu, Ren-Jun [Department of Electrical Engineering, Ming Hsin University of Science and Technology, Hsin-Feng 30401 (China)
2008-07-15
In this paper, a robust PID control scheme is proposed for the permanent magnet synchronous motor (PMSM) using a genetic searching approach. Genetic algorithms (GAs) are powerful searching algorithms based on the mechanics of natural selection and natural genetics. Based on a simple genetic algorithm, a set of PID parameters can be obtained such that the robust stability for the closed-loop system is guaranteed, the tracking performance is minimized subject to certain related cost function, and the disturbance rejection ability (H{sub {infinity}} performance) subject to a prescribed attenuation level can also be achieved. Numerical solutions of the PID parameters constrained by three different objectives and simulation results are provided to illustrate the design procedure and the expected performances. Finally, the proposed PID control scheme for the PMSM is implemented by a DSP-based fully digital controller. From the experimental results, the performances can be achieved using the proposed PID control scheme. In opposition to trial and error, the PID parameters can be obtained systematically in this study. The proposed method is simple and is suitable for practical control design in the motor drive. (author)
Design of a Fractional Order PID Controller Using Particle Swarm Optimization Technique
Maiti, Deepyaman; Biswas, Sagnik; Konar, Amit
2008-01-01
Particle Swarm Optimization technique offers optimal or suboptimal solution to multidimensional rough objective functions. In this paper, this optimization technique is used for designing fractional order PID controllers that give better performance than their integer order counterparts. Controller synthesis is based on required peak overshoot and rise time specifications. The characteristic equation is minimized to obtain an optimum set of controller parameters. Results sho...
A fuzzy model based adaptive PID controller design for nonlinear and uncertain processes.
Savran, Aydogan; Kahraman, Gokalp
2014-03-01
We develop a novel adaptive tuning method for classical proportional-integral-derivative (PID) controller to control nonlinear processes to adjust PID gains, a problem which is very difficult to overcome in the classical PID controllers. By incorporating classical PID control, which is well-known in industry, to the control of nonlinear processes, we introduce a method which can readily be used by the industry. In this method, controller design does not require a first principal model of the process which is usually very difficult to obtain. Instead, it depends on a fuzzy process model which is constructed from the measured input-output data of the process. A soft limiter is used to impose industrial limits on the control input. The performance of the system is successfully tested on the bioreactor, a highly nonlinear process involving instabilities. Several tests showed the method's success in tracking, robustness to noise, and adaptation properties. We as well compared our system's performance to those of a plant with altered parameters with measurement noise, and obtained less ringing and better tracking. To conclude, we present a novel adaptive control method that is built upon the well-known PID architecture that successfully controls highly nonlinear industrial processes, even under conditions such as strong parameter variations, noise, and instabilities. PMID:24140160
Design of PID controller as an AVR in frequency-domain
International Nuclear Information System (INIS)
The primary means of generator reactive-power control is the generator-excitation control, using Automatic Voltage Regulator (AVR). The role of AVR is to hold the terminal-voltage of Synchronous generator at a specified level. This paper presents the design of a proportional integral- derivative (PID) controller to work as an A VR. The PID controller has been tuned by HO-HANG-CAO method. In this method, pm parameters are computed from the gain-margin and phase-margin specifications. This method has been found much superior to the conventional Ziegler- Nichols rules. The performance of the controller has been evaluated through Simulation Studies in MATLAB environment. It has been demonstrated that the PID controller, tuned with the said method, yields highly satisfactory closed loop performance. (author)
Ali, Ahmad; Majhi, Somanath
2009-01-01
In this work, the normalized Internal Model Control (IMC) filter time constant is designed to achieve a specified value of the maximum sensitivity for stable first and second order plus time delay process models, respectively. Since a particular value of the maximum sensitivity results in an almost constant percentage overshoot to controller setpoint change, an empirical relationship between the normalized IMC filter time constant and percentage overshoot is presented. The main advantage of the proposed method is that only a user-defined overshoot is required to design a PI/PID controller. Simulation examples are given to demonstrate the value of the proposed method. PMID:18848321
Design of PID Controller for Non Square MIMO System
Thirunavukkarasu, I.; George, V. I.; Priya, S. Shanmuga; Vardhan, Yash
2011-12-01
Most of the processes in real time industries are multi input multi output (MIMO) in nature. Normally RGA method is used to decouple the interference between the process loops. The decouplers can be easily designed for the stable processes with dead time. As a special case we will also obtain the mathematical model of certain systems as a non-square system with unstable/integrating process. Designing the controller for such processes is being a challenging one. As a case study, we have made an attempt to design the controller for the rotary inverted pendulum, whose mathematical model is resulted as a Non-Square MIMO integrating process.
Design New PID like Fuzzy CTC Controller: Applied to Spherical Motor
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Mohammad shamsodini
2014-05-01
Full Text Available The minimum rule base Proportional Integral Derivative (PID Fuzzy Computed Torque Controller with application to spherical motor is presented in this research. The popularity of PID Fuzzy Computed Torque Controller can be attributed to their robust performance in a wide range of operating conditions and partly to their functional simplicity. PID methodology has three inputs and if any input is described with seven linguistic values, and any rule has three conditions we will need 343 rules. It is too much work to write 343 rules and have lots of problem to design embedded control system e.g., Field Programmable Gate Array (FPGA. In this research the PID-like fuzzy controller can be constructed as a parallel structure of a PD-like fuzzy controller and a conventional PI controller to have the minimum rule base and acceptable trajectory follow disturbance to control of spherical motor. However computed torque controller is work based on cancelling decoupling and nonlinear terms of dynamic parameters for each direction of three degree of freedom spherical motor, this controller is work based on motor dynamic model and this technique is highly sensitive to the knowledge of all parameters of nonlinear spherical motor’s dynamic equation. This research is used to reduce or eliminate the computed torque controller problem based on minimum rule base fuzzy logic theory to control of three degrees of freedom spherical motor system and testing of the quality of process control in the simulation environment of MATLAB/SIMULINK Simulator.
Comparative Studies on Decentralized Multiloop PID Controller Design Using Evolutionary Algorithms
Saha, Sayan; Das, Saptarshi; Pakhira, Anindya; Mukherjee, Sumit; Pan, Indranil
2013-01-01
Decentralized PID controllers have been designed in this paper for simultaneous tracking of individual process variables in multivariable systems under step reference input. The controller design framework takes into account the minimization of a weighted sum of Integral of Time multiplied Squared Error (ITSE) and Integral of Squared Controller Output (ISCO) so as to balance the overall tracking errors for the process variables and required variation in the corresponding man...
Design of PID Controller for Maglev System Based on an Improved PSO with Mixed Inertia Weight
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Rongrong Song
2014-06-01
Full Text Available A Maglev system was modeled by the exact feedback linearization to achieve two same linear subsystems. The proportional-integral-differential controllers (PID based on particle swarm optimization (PSO algorithm with four different inertia weights were then used to regulate both linear subsystems. These different inertia weights were Fixed Inertia Weight (FIW, Linear Descend Inertia Weight (LIW, Linear Differential Descend Inertia Weight (LDW, and mixed inertia weight (FIW–LIW-LDW. On the other hand, the parameters of the PSO-PID controllers via mixed inertia weight (FIW–LIW-LDW were optimized, the parameter values in the electromagnet 1 and electromagnet 2 were both 0.4. Simulation results demonstrate that the control performance and robustness of PSO-PID based on mixed inertia weight (FIW–LIW-LDW was superior to that of three PSO-PID controllers based on single inertia weights. For electromagnet 1, the overshoot of PSO-PID controller with mixed inertia weight reduced 3.36% than that of PSO-PID controller with FIW, 5.81% than that of PSO-PID controller with LIW, and 6.34% than that of PSO-PID controller with LDW; for electromagnet 2, the overshoot of PSO-PID controller with mixed inertia weight reduced 1.07% than that of PSO-PID controller with FIW, 12.56% than that of PSO-PID controller with LIW, 7.97% than that of PSO-PID controller with LDW; the adjusting time of PSO-PID controller with mixed inertia weight reduced 0.395s than that of PSO-PID controller with FIW, 34.1s than that of PSO-PID controller with LIW, and 33.494s than that of PSO-PID controller with LDW
Microcontroller Based PID Controller
Nagy, Zoltan Tamas; Dale, Sanda; Bara, Alexandru
2010-01-01
In most cases the PID algorithm is simple toimplement in DC motor control systems. In this paperwe made a combination between PID controlalgorithms together with trajectory generation andcompensation functions for the integrator. To improvethe system time response we are used an encoder typefeedback to detect the velocity and position of the shaft.The signals from the encoder are processed with acombinational hardware which give two pulses one forup count and one for down count. The DC motor ...
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Yasir Khudhair Abbas
2012-01-01
Full Text Available In this paper, an intelligent tracking control system of both single- and double-axis Piezoelectric Micropositioner stage is designed using Genetic Algorithms (GAs method for the optimal Proportional-Integral-Derivative (PID controller tuning parameters. The (GA-based PID control design approach is a methodology to tune a (PID controller in an optimal control sense with respect to specified objective function. By using the (GA-based PID control approach, the high-performance trajectory tracking responses of the Piezoelectric Micropositioner stage can be obtained. The (GA code was built and the simulation results were obtained using MATLAB environment. The Piezoelectric Micropositioner simulation model with the (GA-based PID control is illustrated to show the validity of the proposed control method for practical applications, such as scanning microscopy.
Covariance Matrix Adapted Evolution Strategy Based Design of Mixed H2/H ? PID Controller
Willjuice Iruthayarajan, M.; Baskar, S.
This paper discusses the application of the covariance matrix adapted evolution strategy (CMAES) technique to the design of the mixed H2/H ? PID controller. The optimal robust PID controller is designed by minimizing the weighted sum of integral squared error (ISE) and balanced robust performance criterion involving robust stability and disturbance attenuation performance subjected to robust stability and disturbance attenuation constraints. In CMAES algorithm, these constraints are effectively handled by penalty parameter-less scheme. In order to test the performance of CMAES algorithm, MIMO distillation column model is considered. For the purpose of comparison, reported intelligent genetic algorithm (IGA) method is used. The statistical performances of combined ISE and balanced robust performance criterion in ten independent simulation runs show that a performance of CMAES is better than IGA method. Robustness test conducted on the system also shows that the robust performance of CMAES designed controller is better than IGA based controller under model uncertainty and external disturbances.
Designing a Robust and Adaptive PID Controller for Gas Turbine Connected to the Generator
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Mohsen Khalilpour
2013-02-01
Full Text Available Gas turbines are increasingly spread throughout the world to provide mechanical and electrical power in consumer and industrial sections. To ensure an accurate control process temperature of gas turbine with no extortionary operator involvement, a proper controller is required. Load frequency control of gas turbine is also regulates the power flow between different areas while holding the frequency constant. The main idea in this study is to assemble these 2 controllers in a unit work; the area of robust control has grown to be one of the wealthy in terms of algorithms, design techniques, analytical tools and modifications. Several books and papers already exist on the topics of parameter estimation and adaptive control. In The proposed approach, a robust and evolutionary based Proportional, Integral, Derivative (PID is utilized to control frequency-response and a robust evolutionary based Proportional, Integral (PI is utilized to control temperature. The evolutionary algorithm is used to make an optimal Proportional-Integral-Derivative (PID controller Tuning parameters. The new robust PID controller is compared with a normal classic controller (Ziegler-Nichols designed by the method.
A fast PID controller Design for Modern PLC for Process Control Application
International Nuclear Information System (INIS)
PID is the most widely used control scheme in the process industry. Pill controllers are utilized for the control of such varied parameters as pressure, flow, temperature, etc. One characteristic of these parameters is that they posses slow dynamics. Most of the available digital controllers can manipulate only a single parameter- multiple controllers are required for control of more than one parameter. The Fast PID Controller for Modem PLC (Programmable Logic Controller) developed by the authors, provides control of several parameters at a time (through a single Pill control element), enhanced programmability including variable sampling period, parameter monitoring and data storage, which may be easily implemented in a PLC. (author)
Robust Gain-Scheduled PID Controller Design For Uncertain LPV Systems
Veselý, Vojtech; Ilka, Adrian
2015-01-01
A novel methodology is proposed for robust gain-scheduled PID controller design for uncertain LPV systems. The proposed design procedure is based on the parameter-dependent quadratic stability approach. A new uncertain LPV system model has been introduced in this paper. To access the performance quality the approach of a parameter varying guaranteed cost is used which allowed to reach for different working points desired performance. Numerical examples show the benefit of the proposed method.
International Nuclear Information System (INIS)
In order to make the design process for power control system of experimental nuclear reactor optimal, objective and analytical, an analytical design process which contains the model linearization, model reduction, theoretical design of PID controllers is discussed. This method is applied to the design of the power control system of an experimental nuclear reactor, the numerical simulation results prove that the design process is practical, and the control performance is satisfactory
PID Controller with Operational Amplifier
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Cristian Paul Chioncel
2009-01-01
Full Text Available The paper presents a PID controller made with LM741 operational amplifier that implement the PID controllers laws and allow for a widerange of applications of in the field of automatic control of technicalprocesses and systems.
PID Controller with Operational Amplifier
Cristian Paul Chioncel; Petru Chioncel; Nicoleta Gillich
2009-01-01
The paper presents a PID controller made with LM741 operational amplifier that implement the PID controllers laws and allow for a widerange of applications of in the field of automatic control of technicalprocesses and systems.
IMC-PID-fractional-order-filter controllers design for integer order systems.
Maâmar, Bettayeb; Rachid, Mansouri
2014-09-01
One of the reasons of the great success of standard PID controllers is the presence of simple tuning rules, of the automatic tuning feature and of tables that simplify significantly their design. For the fractional order case, some tuning rules have been proposed in the literature. However, they are not general because they are valid only for some model cases. In this paper, a new approach is investigated. The fractional property is not especially imposed by the controller structure but by the closed loop reference model. The resulting controller is fractional but it has a very interesting structure for its implementation. Indeed, the controller can be decomposed into two transfer functions: an integer transfer function which is generally an integer PID controller and a simple fractional filter. PMID:24957276
Design Intelligent PID like Fuzzy Sliding Mode Controller for Spherical Motor
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Farzin Matin
2014-04-01
Full Text Available The minimum rule base Proportional Integral Derivative (PID Fuzzy Sliding Mode Controller (SMC with application to spherical motor is presented in this research. The popularity of PID Fuzzy Sliding Mode Controller can be attributed to their robust performance in a wide range of operating conditions and partly to their functional simplicity. The process of setting of PID Fuzzy Sliding Mode Controller can be determined as an optimization task. Over the years, use of intelligent strategies for tuning of these controllers has been growing especially in nonlinear and uncertain systems. Proportional Integral Derivative methodology has three inputs and if any input is described with seven linguistic values, and any rule has three conditions, we will need 343 rules. It is too much work to write 343 rules and have lots of problem to design embedded control system e.g., Field Programmable Gate Array (FPGA. In this research the PID-like fuzzy controller can be constructed as a parallel structure of a PD-like fuzzy controller and a conventional PI controller to have the minimum rule base and good trajectory follow disturbance to control of spherical motor. However Sliding Mode Controller is work based on cancelling decoupling and nonlinear terms of dynamic parameters for each direction of three degree of freedom spherical motor, this controller is work based on motor dynamic model and this technique is highly sensitive to the knowledge of all parameters of nonlinear spherical motor’s dynamic equation which caused to challenge in uncertain system. This research is used to reduce or eliminate the Sliding Mode Controller problem based on minimum rule base fuzzy logic theory to control of three degrees of freedom spherical motor system and testing of the quality of process control in the simulation environment of MATLAB/SIMULINK Simulator.
Developments in PID Controllers: Literature Survey
Patel, H. B.; Chaphekar, S. N.
2012-01-01
Most of the process plants controlled by PID controllers have similar dynamics. It has found possible to set satisfactory controlled parameters from less plant information than a complete mathematical model. PID control has been an active research topic for many years. In this paper literature review of several useful PID type controller design techniques have been presented. It is observed that, performance using model order reduction technique is effective.
Design High Efficiency-Minimum Rule Base PID Like Fuzzy Computed Torque Controller
Alireza Khalilian; Ghasem Sahamijoo; Omid Avatefipour; Farzin Piltan; Mahmoud Reza Safaei Nasrabad
2014-01-01
The minimum rule base Proportional Integral Derivative (PID) Fuzzy Computed Torque Controller is presented in this research. The popularity of PID Fuzzy Computed Torque Controller can be attributed to their robust performance in a wide range of operating conditions and partly to their functional simplicity. The process of setting of PID Fuzzy Computed Torque Controller can be determined as an optimization task. Over the years, use of intelligent strategies for tuning of these controllers has ...
A Design of a PID Self-Tuning Controller Using LabVIEW
Younes, Tariq M.; Alia, Mohammad A. K.; Shibel Al Subah
2011-01-01
In this paper a trial has been made to design a simple self-tuning LabVIEW-based PID controller. The controller uses an open-loop relay test, calculates the tuned parameters in an open loop mode of operation before it updates controller parameters and runs the process as a closed-loop system. The controller reacts on a persistent offset error value as a result of load disturbance or a set point change. Practical results show that such a controller may be recommended to control a variety of in...
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Md. Selim Hasan
2011-05-01
Full Text Available The objective of this thesis is to investigate and find a solution by designing the intelligentcontroller for controlling water level system, such as neural network. The controller also can bespecifically run under the circumstance of system disturbances. To achieve these objectives, a prototypeof water level control system has been built and implementations of both PID and neural network controlalgorithms are performed. In PID control, Ziegler Nichols tuning method is used to control the system.In neural network control, the approach of Model Reference Adaptive Neural Network (ANN Controlbased on the back propagation algorithm is applied on training the system. Both control algorithms aredeveloped to embed into a standalone DSP-based micro-controller and their performances arecompared.
A design of LED adaptive dimming lighting system based on incremental PID controller
He, Xiangyan; Xiao, Zexin; He, Shaojia
2010-11-01
As a new generation energy-saving lighting source, LED is applied widely in various technology and industry fields. The requirement of its adaptive lighting technology is more and more rigorous, especially in the automatic on-line detecting system. In this paper, a closed loop feedback LED adaptive dimming lighting system based on incremental PID controller is designed, which consists of MEGA16 chip as a Micro-controller Unit (MCU), the ambient light sensor BH1750 chip with Inter-Integrated Circuit (I2C), and constant-current driving circuit. A given value of light intensity required for the on-line detecting environment need to be saved to the register of MCU. The optical intensity, detected by BH1750 chip in real time, is converted to digital signal by AD converter of the BH1750 chip, and then transmitted to MEGA16 chip through I2C serial bus. Since the variation law of light intensity in the on-line detecting environment is usually not easy to be established, incremental Proportional-Integral-Differential (PID) algorithm is applied in this system. Control variable obtained by the incremental PID determines duty cycle of Pulse-Width Modulation (PWM). Consequently, LED's forward current is adjusted by PWM, and the luminous intensity of the detection environment is stabilized by self-adaptation. The coefficients of incremental PID are obtained respectively after experiments. Compared with the traditional LED dimming system, it has advantages of anti-interference, simple construction, fast response, and high stability by the use of incremental PID algorithm and BH1750 chip with I2C serial bus. Therefore, it is suitable for the adaptive on-line detecting applications.
Design of Self-tuning PID controller using Fuzzy Logic for Level Process
P D Aditya Karthik *1; J Supriyanka 2
2014-01-01
In this paper a self-tuning PID controller is designed using fuzzy logic for a liquid level process of single tank and two tank systems. Conventional technique like Ziegler’s Nichols method can be enhanced using fuzzy logic. The gain parameters that are obtained using conventional technique can be adjusted automatically using the logic. The gain parameters that are obtained using conventional technique can be adjusted automatically using the
Design Intelligent PID like Fuzzy Sliding Mode Controller for Spherical Motor
Farzin Matin; Farzin Piltan; Hamid Cheraghi; Nasim Sobhani; Maryam Rahmani
2014-01-01
The minimum rule base Proportional Integral Derivative (PID) Fuzzy Sliding Mode Controller (SMC) with application to spherical motor is presented in this research. The popularity of PID Fuzzy Sliding Mode Controller can be attributed to their robust performance in a wide range of operating conditions and partly to their functional simplicity. The process of setting of PID Fuzzy Sliding Mode Controller can be determined as an optimization task. Over the years, use of intelligent strategies for...
Design High-Efficiency Intelligent PID like Fuzzy Backstepping Controller for Three Dimension Motor
Mahsa Piltan; Farzin Piltan; Mojtaba Yaghoot; Saman Rahbar; Mohammad Ali Tayebi
2014-01-01
The minimum rule base Proportional Integral Derivative (PID) Fuzzy backstepping Controller for three dimensions spherical motor is presented in this research. The popularity of PID Fuzzy backstepping controller can be attributed to their robust performance in a wide range of operating conditions and partly to their functional simplicity. The process of setting of PID Fuzzy backstepping controller can be determined as an optimization task. Over the years, use of intelligent strategies for tuni...
International Nuclear Information System (INIS)
The paper deals with the development and application of a new simple empirical approach to the design of robust PID controllers for technological processes in industrial practice. The main advantage of the proposed approach is the possibility to specify the required performance before the design algorithm implementation. Identification of characteristic data of the black-box type plant with varying parameters is carried out using the sine wave excitation signal, thus allowing to design the controller without necessarily knowing the mathematical model of the plant. The proposed approach has been verified on a real-world physical process. (authors)
International Nuclear Information System (INIS)
The Horizontal Test Stand (HTS) SRF Cavity and Cryomodule 1 (CM1) of eight 9-cell, 1.3GHz SRF cavities are operating at Fermilab. For the cryogenic control system, how to hold liquid level constant in the cryostat by regulation of its Joule-Thompson JT-valve is very important after cryostat cool down to 2.0 K. The 72-cell cryostat liquid level response generally takes a long time delay after regulating its JT-valve; therefore, typical PID control loop should result in some cryostat parameter oscillations. This paper presents a type of PID parameter self-optimal and Time-Delay control method used to reduce cryogenic system parameters oscillation.
Pei, L; Theilacker, J; Soyars, W; Martinez, A; Bossert, R; DeGraff, B; Darve, C
2012-01-01
The Horizontal Test Stand (HTS) SRF Cavity and Cryomodule 1 (CM1) of eight 9-cell, 1.3GHz SRF cavities are operating at Fermilab. For the cryogenic control system, how to hold liquid level constant in the cryostat by regulation of its Joule-Thompson JT-valve is very important after cryostat cool down to 2.0 K. The 72-cell cryostat liquid level response generally takes a long time delay after regulating its JT-valve; therefore, typical PID control loop should result in some cryostat parameter oscillations. This paper presents a type of PID parameter self-optimal and Time-Delay control method used to reduce cryogenic system parameters' oscillation.
PID control in Damavand Tokamak
International Nuclear Information System (INIS)
Plasma position control is one of the most important issues in the design and pe ration of Tokamaks. Since Tokamak is essentially an electric system that consists of supplies, windings, plasma, and eddy currents, a mathematical model that shows the effects of the above components on the plasma position, has been used for simulation purposes. In this paper, design and operation of a PID controller based on this model is presented
Design a Novel SISO Off-line Tuning of Modified PID Fuzzy Sliding Mode Controller
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Ali Shahcheraghi
2014-01-01
Full Text Available The Proportional Integral Derivative (PID Fuzzy Sliding Mode Controller (FSMC is the most widely used control strategy in the Industry (control of robotic arm. The popularity of PID FSMC controllers can be attributed to their robust performance in a wide range of operating conditions and partly to their functional simplicity. The process of setting of PID FSMC controller can be determined as an optimization task. Over the years, use of intelligent strategies for tuning of these controllers has been growing. Biologically inspired evolutionary strategies have gained importance over other strategies because of their consistent performance over wide range of process models and their flexibility. This paper analyses the modified PID FSMC controllers based on minimum rule base for flexible robot manipulator system and test the quality of process control in the simulation environment of MATLAB/SIMULINK Simulator.
PID Controllers Design Applied to Positioning of Ball on the Stewart Platform
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Koszewnik Andrzej
2014-12-01
Full Text Available The paper presents the design and practical implementation of PID controllers for a Stewart platform. The platform uses a resistance touch panel as a sensor and servo motors as actuators. The complete control system stabilizing the ball on the platform is realized with the Arduino microcontroller and the Matlab/Simulink software. Two processes required to acquire measurement signals from the touch panel in two perpendicular directions X and Y, are discussed. The first process includes the calibration of the touch panel, and the second process - the filtering of measurement signals with the low pass Butterworth filter. The obtained signals are used to design the algorithm of the ball stabilization by decoupling the global system into two local subsystems. The algorithm is implemented in a soft real time system. The parameters of both PID controllers (PIDx and PIDy are tuned by the trial-error method and implemented in the microcontroller. Finally, the complete control system is tested at the laboratory stand.
CONTROL SYSTEM DESIGN WITH FUZZY LOGIC PID-?ONTROLLER TYPE 2
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A. T????
2011-04-01
Full Text Available This paper presents a fuzzy logic PID-controller synthesis method for solid body guidance. Formany nonlinear systems with nonlinearities and uncertainties, the performance of fuzzy controllertype 1 may not be satisfactory. Therefore, in this work, fuzzy logic type 2 controller design isintroduced. These controllers capture the advantage of a linear controller in terms of simplicity andalso can handle nonlinearity because of their inference mechanism.The main feature of the proposedmethod constitutes in a membership functions type 2 applications. The membership function type 2is represented by upper and lower membership functions of type 1. The interval between these twofunctions represent the footprint of uncertainty, which give an opportunity to synthesize commonregulator for set of a models. The structure of fuzzy logic controller for solid body control isgrounded. Simulation results confirm the effectiveness of the proposed approach.
Automatic PID Control Loops Design for Performance Improvement of Cryogenic Turboexpander
Joshi, D. M.; Patel, H. K.; Shah, D. K.
2015-04-01
Cryogenics field involves temperature below 123 K which is much less than ambient temperature. In addition, many industrially important physical processes—from fulfilling the needs of National Thermonuclear Fusion programs, superconducting magnets to treatment of cutting tools and preservation of blood cells, require extreme low temperature. The low temperature required for liquefaction of common gases can be obtained by several processes. Liquefaction is the process of cooling or refrigerating a gas to a temperature below its critical temperature so that liquid can be formed at some suitable pressure which is below the critical pressure. Helium liquefier is used for the liquefaction process of helium gas. In general, the Helium Refrigerator/Liquefier (HRL) needs turboexpander as expansion machine to produce cooling effect which is further used for the production of liquid helium. Turboexpanders, a high speed device that is supported on gas bearings, are the most critical component in many helium refrigeration systems. A very minor fault in the operation and manufacturing or impurities in the helium gas can destroy the turboexpander. However, since the performance of expanders is dependent on a number of operating parameters and the relations between them are quite complex, the instrumentation and control system design for turboexpander needs special attention. The inefficiency of manual control leads to the need of designing automatic control loops for turboexpander. Proper design and implementation of the control loops plays an important role in the successful operation of the cryogenic turboexpander. The PID control loops has to be implemented with accurate interlocks and logic to enhance the performance of the cryogenic turboexpander. For different normal and off-normal operations, speeds will be different and hence a proper control method for critical rotational speed avoidance is must. This paper presents the design of PID control loops needed for the efficient performance of cryogenic turboexpander (Radial Inflow type) to ensure that the control systems meet the technical conditions and constraints more accurately and ensure the equipment safety.
GA-optimized feedforward-PID tracking control for a rugged electrohydraulic system design.
Sarkar, B K; Mandal, P; Saha, R; Mookherjee, S; Sanyal, D
2013-11-01
Rugged electrohydraulic systems are preferred for remote and harsh applications. Despite the low bandwidth, large deadband and flow nonlinearities in proportional valves valve and highly nonlinear friction in industry-grade cylinders that comprise rugged systems, their maintenance are much easier than very sophisticated and delicate servocontrol and servocylinder systems. With the target of making the easily maintainable system to perform comparably to a servosystem, a feedforward control has been designed here for compensating the nonlinearities. A PID feedback of the piston displacement has been employed in tandem for absorbing the unmodeled effects. All the controller parameters have been optimized by a real-coded genetic algorithm. The agreement between the achieved real-time responses for step and sinusoidal demands with those achieved by modern servosystems clearly establishes the acceptability of the controller design. PMID:23910093
PID Controller Design for UPS Three-Phase Inverters Considering Magnetic Coupling
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Yu Zhang
2014-11-01
Full Text Available In three-phase inverters used in uninterruptible power supplies (UPSs, three-limb inductors and three-limb transformers are commonly used in consideration of cost and size. However, magnetic coupling exists between the three phases of the inverter, which can result in complex models. When instantaneous feedback control strategies are introduced to achieve high quality output waveforms, the transient analysis of the closed-loop inverters becomes difficult. In this paper, the phenomenon of magnetic coupling in three-phase inverters due to three-limb inductors and three-limb transformers is analyzed. A decoupled dynamic model is derived based on the instantaneous symmetrical components transformation, which comprises three decoupled equivalent circuits of instantaneous symmetrical components. Analyses based on this model indicate that magnetic coupling may have a significant impact on the performance of three-phase inverters under unbalanced load conditions and transient responses. For three-phase inverters in UPSs with Proportional-Integral-Differential (PID closed-loop control strategies, the interactive influence between instantaneous closed-loop regulation and magnetic coupling is researched. Finally, a method of reliability analysis and PID controller design for inverters with magnetic coupling is derived. Simulation and experiment results validate the model and conclusions.
Design High-Efficiency Intelligent PID like Fuzzy Backstepping Controller for Three Dimension Motor
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Mahsa Piltan
2014-08-01
Full Text Available The minimum rule base Proportional Integral Derivative (PID Fuzzy backstepping Controller for three dimensions spherical motor is presented in this research. The popularity of PID Fuzzy backstepping controller can be attributed to their robust performance in a wide range of operating conditions and partly to their functional simplicity. The process of setting of PID Fuzzy backstepping controller can be determined as an optimization task. Over the years, use of intelligent strategies for tuning of these controllers has been growing. PID methodology has three inputs and if any input is described with seven linguistic values, and any rule has three conditions we will need 7 × 7 × 7 = 343 rules. It is too much work to write 343 rules. In this research the PID-like fuzzy controller can be constructed as a parallel structure of a PI-like controller and a PD-like fuzzy controller to have the minimum rule base. However backstepping controller is work based on cancelling decoupling and nonlinear terms of dynamic parameters of each dimension, this controller is work based on spherical motor dynamic model and this technique is highly sensitive to the knowledge of all parameters of nonlinear three dimension spherical motor’s dynamic equation. This research is used to reduce or eliminate the backstepping controller problem based on minimum rule base fuzzy logic theory to control of spherical motor system and testing of the quality of process control in the simulation environment of MATLAB/SIMULINK Simulator.
Design High Efficiency-Minimum Rule Base PID Like Fuzzy Computed Torque Controller
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Alireza Khalilian
2014-06-01
Full Text Available The minimum rule base Proportional Integral Derivative (PID Fuzzy Computed Torque Controller is presented in this research. The popularity of PID Fuzzy Computed Torque Controller can be attributed to their robust performance in a wide range of operating conditions and partly to their functional simplicity. The process of setting of PID Fuzzy Computed Torque Controller can be determined as an optimization task. Over the years, use of intelligent strategies for tuning of these controllers has been growing. PID methodology has three inputs and if any input is described with seven linguistic values, and any rule has three conditions we will need 343 rules. It is too much work to write 343 rules. In this research the PID-like fuzzy controller can be constructed as a parallel structure of a PD-like fuzzy controller and a PI controller to have the minimum rule base. However computed torque controller is work based on cancelling decoupling and nonlinear terms of dynamic parameters of each link, this controller is work based on manipulator dynamic model and this technique is highly sensitive to the knowledge of all parameters of nonlinear robot manipulator’s dynamic equation. This research is used to reduce or eliminate the computed torque controller problem based on minimum rule base fuzzy logic theory to control of flexible robot manipulator system and testing of the quality of process control in the simulation environment of MATLAB/SIMULINK Simulator.
Design of PID controllers in double feedback loops for SISO systems with set-point filters.
Vijayan, V; Panda, Rames C
2012-07-01
A PID controller is widely used to control industrial processes that are mostly open loop stable or unstable. Selection of proper feedback structure and controller tuning helps to improve the performance of the loop. In this paper a double-feedback loop/method is used to achieve stability and better performance of the process. The internal feedback is used for stabilizing the process and the outer loop is used for good setpoint tracking. An internal model controller (IMC) based PID method is used for tuning the outer loop controller. Autotuning based on relay feedback or the Ziegler-Nichols method can be used for tuning an inner loop controller. A tuning parameter (?) that is used to tune IMC-PID is used as a time constant of a setpoint filter that is used for reducing the peak overshoot. The method has been tested successfully on many low order processes. PMID:22494496
Design of FPGA-based All Digital PID Controller for Dynamic Systems
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VIPUL B. PATEL
2013-02-01
Full Text Available In this paper implementation of All digital PID controller using Field Programmable Gate array (FPGA ispresented. Nowadays embedded control applications requires low power and fast acting PID controllers with a closed loop performance using less resources, resulting in cost reduction. In digital PID controller error signal is generated by using comparator which is analog in nature. By using ADC it is converted in to digital. Digital output of FPGA is converted in to analog signal to drive any system using DAC, but potential output ripple in the baseline system due to quantization and other related errors. There is no need to use ADC or DAC in ADPID. The controller algorithm is synthesized, simulated using Xilinx Spartan3e XC3S100E board with XilinxISE 10.1i as a tool.
Design of an iterative auto-tuning algorithm for a fuzzy PID controller
Saeed, Bakhtiar I.; Mehrdadi, B.
2012-05-01
Since the first application of fuzzy logic in the field of control engineering, it has been extensively employed in controlling a wide range of applications. The human knowledge on controlling complex and non-linear processes can be incorporated into a controller in the form of linguistic terms. However, with the lack of analytical design study it is becoming more difficult to auto-tune controller parameters. Fuzzy logic controller has several parameters that can be adjusted, such as: membership functions, rule-base and scaling gains. Furthermore, it is not always easy to find the relation between the type of membership functions or rule-base and the controller performance. This study proposes a new systematic auto-tuning algorithm to fine tune fuzzy logic controller gains. A fuzzy PID controller is proposed and applied to several second order systems. The relationship between the closed-loop response and the controller parameters is analysed to devise an auto-tuning method. The results show that the proposed method is highly effective and produces zero overshoot with enhanced transient response. In addition, the robustness of the controller is investigated in the case of parameter changes and the results show a satisfactory performance.
Design of an iterative auto-tuning algorithm for a fuzzy PID controller
International Nuclear Information System (INIS)
Since the first application of fuzzy logic in the field of control engineering, it has been extensively employed in controlling a wide range of applications. The human knowledge on controlling complex and non-linear processes can be incorporated into a controller in the form of linguistic terms. However, with the lack of analytical design study it is becoming more difficult to auto-tune controller parameters. Fuzzy logic controller has several parameters that can be adjusted, such as: membership functions, rule-base and scaling gains. Furthermore, it is not always easy to find the relation between the type of membership functions or rule-base and the controller performance. This study proposes a new systematic auto-tuning algorithm to fine tune fuzzy logic controller gains. A fuzzy PID controller is proposed and applied to several second order systems. The relationship between the closed-loop response and the controller parameters is analysed to devise an auto-tuning method. The results show that the proposed method is highly effective and produces zero overshoot with enhanced transient response. In addition, the robustness of the controller is investigated in the case of parameter changes and the results show a satisfactory performance.
Designing an Energy Storage System Fuzzy PID Controller for Microgrid Islanded Operation
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Jin-Hong Jeon
2011-09-01
Full Text Available Recently, interest in microgrids, which are composed of distributed generation (DG, distributed storage (DS, and loads, has been growing as a potentially effective clean energy system to mitigate against climate change. The microgrid is operated in the grid-connected mode and the islanded mode according to the conditions of the upstream power grid. The role of the energy storage system (ESS is especially important to maintain constant the frequency and voltage of an islanded microgrid. For this reason, various approaches for ESS control have been put forth. In this paper, a fuzzy PID controller is proposed to improve the frequency control performance of the ESS. This fuzzy PID controller consists of a fuzzy logic controller and a conventional PI controller, connected in series. The fuzzy logic controller has two input signals, and then the output signal of the fuzzy logic controller is the input signal of the conventional PI controller. For comparison of control performance, gains of each PI controller and fuzzy PID controller are tuned by the particle swam optimization (PSO algorithm. In the simulation study, the control performance of the fuzzy PID was also tested under various operating conditions using the PSCAD/EMTDC simulation platform.
Nader Jamali Soufi Amlashi
2012-01-01
This paper was written to demonstrate importance of a fuzzy logic controller in act over conventional methods with the help of an experimental model. Also, an efficient simulation model for fuzzy logic controlled DC motor drives using Matlab/Simulink is presented. The design and real-time implementation on a microcontroller presented. The scope of this paper is to apply direct digital control technique in position control system. Two types of controller namely PID and fuzzy logic controller w...
Trade-off issues in 2DoF PID control design performance, robustness, and fragility
Alfaro Ruiz, Vi?ctor M.
2014-01-01
El algoritmo de control proporcional integral derivativo (PID) es, sin duda, el más utilizado en el control industrial, empleado la mayoría de las veces como control proporcional integral (PI). El controlador debe ser acoplado (sintonizado) al proceso controlado considerando: el desempeño del sistema de control, su respuesta a cambios en el valor deseado y la perturbación; su robustez, capacidad para mantener el sistema de control estable ante cambios en las características dinámicas de...
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Maitraye Sen
2014-05-01
Full Text Available In this work, a hybrid MPC (model predictive control-PID (proportional-integral-derivative control system has been designed for the continuous purification and processing framework of active pharmaceutical ingredients (APIs. The specific unit operations associated with the purification and processing of API have been developed from first-principles and connected in a continuous framework in the form of a flowsheet model. These integrated unit operations are highly interactive along with the presence of process delays. Therefore, a hybrid MPC-PID is a promising alternative to achieve the desired control loop performance as mandated by the regulatory authorities. The integrated flowsheet model has been simulated in gPROMSTM (Process System Enterprise, London, UK. This flowsheet model has been linearized in order to design the control scheme. The ability to track the set point and reject disturbances has been evaluated. A comparative study between the performance of the hybrid MPC-PID and a PID-only control scheme has been presented. The results show that an enhanced control loop performance can be obtained under the hybrid control scheme and demonstrate that such a scheme has high potential in improving the efficiency of pharmaceutical manufacturing operations.
Adjustment of PID control parameters
David Di Ruscio
1992-01-01
Methods are presented for the adjustment of PID control parameters, so that the loop transfer function, the sensitivity transfer function or the complementary sensitivity transfer function is tuned to a prescribed amplitude and phase.
Yuan-Jay Wang
2013-01-01
A novel constant force feedback mechanism based on fuzzy logic for tapping mode Atomic Force Microscopes (AFM) is proposed in this paper. A mathematical model for characterizing the cantilever-sample interaction subsystem which is nonlinear and contains large uncertainty is first developed. Then, a PID-like fuzzy controller, combing a PD-like fuzzy controller and a PI controller, is designed to regulate the controller efforts and schedule the applied voltage of the Z-axis of the piezoelectri...
Design and Stability Analysis of Fuzzy Switched PID Controller for Ship Track-Keeping
Baozhu Jia; Hui Cao; Jie Ma
2012-01-01
The fuzzy switched PID controller which combines fuzzy PD and conventional PI controller is proposed for ship track-keeping autopilot In this paper. By using rudder angle, the whole voyage is divided into two operating regimes which named transient operating regime and steady operating regime respectively. The fuzzy PD controller is employed in transient operating regime for increasing response, reducing overshoot and shorting transition time. And conventional PI controller is used to improve...
Multiobjective optimization design of a fractional order PID controller for a gun control system.
Gao, Qiang; Chen, Jilin; Wang, Li; Xu, Shiqing; Hou, Yuanlong
2013-01-01
Motion control of gun barrels is an ongoing topic for the development of gun control equipments possessing excellent performances. In this paper, a typical fractional order PID control strategy is employed for the gun control system. To obtain optimal parameters of the controller, a multiobjective optimization scheme is developed from the loop-shaping perspective. To solve the specified nonlinear optimization problem, a novel Pareto optimal solution based multiobjective differential evolution algorithm is proposed. To enhance the convergent rate of the optimization process, an opposition based learning method is embedded in the chaotic population initialization process. To enhance the robustness of the algorithm for different problems, an adapting scheme of the mutation operation is further employed. With assistance of the evolutionary algorithm, the optimal solution for the specified problem is selected. The numerical simulation results show that the control system can rapidly follow the demand signal with high accuracy and high robustness, demonstrating the efficiency of the proposed controller parameter tuning method. PMID:23766721
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Ahmed Sabah Al-Araji
2014-03-01
Full Text Available In this paper, the speed control of the real DC motor is experimentally investigated using nonlinear PID neural network controller. As a simple and fast tuning algorithm, two optimization techniques are used; trial and error method and particle swarm optimization PSO algorithm in order to tune the nonlinear PID neural controller's parameters and to find best speed response of the DC motor. To save time in the real system, a Matlab simulation package is used to carry out these algorithms to tune and find the best values of the nonlinear PID parameters. Then these parameters are used in the designed real time nonlinear PID controller system based on LabVIEW package. Simulation and experimental results are compared with each other and showed the effectiveness of the proposed control algorithm in terms of fast and smooth dynamic response for the speed control of the real DC motor.
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Nader Jamali Soufi Amlashi
2012-05-01
Full Text Available This paper was written to demonstrate importance of a fuzzy logic controller in act over conventional methods with the help of an experimental model. Also, an efficient simulation model for fuzzy logic controlled DC motor drives using Matlab/Simulink is presented. The design and real-time implementation on a microcontroller presented. The scope of this paper is to apply direct digital control technique in position control system. Two types of controller namely PID and fuzzy logic controller will be used to control the output response. The performance of the designed fuzzy and classic PID position controllers for DC motor is compared and investigated. Digital signal Microcontroller ATMega16 is also tested to control the position of DC motor. Finally, the result shows that the fuzzy logic approach has minimum overshoot, and minimum transient and steady state parameters, which shows the more effectiveness and efficiency of FLC than conventional PID model to control the position of the motor. Conventional controllers have poorer performances due to the non-linear features of DC motors like saturation and friction.
A GA-based PID active queue management control design for TCP/IP networks
International Nuclear Information System (INIS)
In this paper, a genetic algorithm-based (GA-based) proportional-integral-derivative (PID) controller as an active queue manager for Internet routers is proposed to reduce packet loss and improve network utilization in TCP/IP networks. Based on the window-based nonlinear dynamics, the TCP network was modeled as a time-delayed system with a saturated input due to the limitations of packet-dropping probability and the effects of propagation delays in TCP networks. An improved genetic algorithm is employed to derive optimal or near optimal PID control gains such that a performance index of integrated-absolute error (IAE) in terms of the error between the router queue length and the desired queue length is minimized. The performance of the proposed control scheme was evaluated in various network scenarios via a series of numerical simulations. The simulation results confirm that the proposed scheme outperforms other AQM schemes
Implementation of PID and Fuzzy PID controllers for Temperature control in CSTR
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S. Srinivasulu Raju
2013-05-01
Full Text Available Continuous Stirred Tank Reactor (CSTR is an important subject in chemical process and offering a diverse range of researches in the area of the chemical and control engineering. Various control approaches have been applied on CSTR to control its parameters. This paper gives the demonstration about the temperature control of CSTR reactor using a fuzzy PID controller to meet the desired temperature in presence of set point changes. The parameters of PID controller can be calculated by conducting Relay feedback on process. Fuzzy logic is one of the most successful applications of fuzzy set in which the variables are linguistic rather than numeric. The development of an effective methodology for the design of such control systems undoubtedly requires the synthesis of many concepts from artificial intelligence. The most commonly used controller in the industry field is the PID controller. Fuzzy logic controller (FLC provides an alternative to PID controller, especially when the available system models are inexact or unavailable. A FLC is based on a set of control rules (fuzzy rules among linguistic variables. CSTR system is a typical chemical reactor system with complex non-linear dynamic characteristics. The fuzzy PID control algorithm is designed for the flow process station to improve the control performance better than the conventional PID controller. PID controller works well only if the mathematical model of the system could be computed. Hence it is difficult to implement PID control for variable as well as complicated systems. The proposed method can be used to realize data process and advanced control to improve the quality of the control. The simulation is carried out and the simulation results present the flexibility of the CSTR temperature control.
Application of Proposed Improved Relay Tuning for Design of Optimum PID Control of SOPTD Model
S.A. MISAL; V.S. Sathe
2012-01-01
The coupled tank liquid level control system approximated by the second order plus time delay (SOPTD) model was considered and the proposed improved relay tuning method was applied to calculate the corrected ultimate gain (Ku). It was found that the error in calculation of ultimate gain by proposed methods has been reduced considerably than that of conventional method. The corrected Ku was used to estimate optimum PID parameters by Ziegler Nichols method. The closed loop response was obtained...
Design of PID Controller for Maglev System Based on an Improved PSO with Mixed Inertia Weight
Rongrong Song; Zili Chen
2014-01-01
A Maglev system was modeled by the exact feedback linearization to achieve two same linear subsystems. The proportional-integral-differential controllers (PID) based on particle swarm optimization (PSO) algorithm with four different inertia weights were then used to regulate both linear subsystems. These different inertia weights were Fixed Inertia Weight (FIW), Linear Descend Inertia Weight (LIW), Linear Differential Descend Inertia Weight (LDW), and mixed inertia weight (FIW–LIW-LDW)....
Application of Proposed Improved Relay Tuning for Design of Optimum PID Control of SOPTD Model
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S.A. Misal
2012-10-01
Full Text Available The coupled tank liquid level control system approximated by the second order plus time delay (SOPTD model was considered and the proposed improved relay tuning method was applied to calculate the corrected ultimate gain (Ku. It was found that the error in calculation of ultimate gain by proposed methods has been reduced considerably than that of conventional method. The corrected Ku was used to estimate optimum PID parameters by Ziegler Nichols method. The closed loop response was obtained using optimum values of PID parameters and compared with that of conventional method. It was found that the Integral Time Absolute Error (ITAE has been decreased and robustness has been increased by proposed method I & II as compared to that of conventional method. Hence the proposed improved relay tuning method gives better performance
A mathematical explanation via "intelligent" PID controllers of the strange ubiquity of PIDs
Novel, Brigitte D'Andrea; Join, Cédric; Mounier, Hugues; Steux, Bruno
2010-01-01
The ubiquity of PID controllers in the industry has remained mysterious until now. We provide here a mathematical explanation of this strange phenomenon by comparing their sampling with the the one of "intelligent" PID controllers, which were recently introduced. Some computer simulations nevertheless confirm the superiority of the new intelligent feedback design.
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Yuan-Jay Wang
2013-08-01
Full Text Available A novel constant force feedback mechanism based on fuzzy logic for tapping mode Atomic Force Microscopes (AFM is proposed in this paper. A mathematical model for characterizing the cantilever-sample interaction subsystem which is nonlinear and contains large uncertainty is first developed. Then, a PID-like fuzzy controller, combing a PD-like fuzzy controller and a PI controller, is designed to regulate the controller efforts and schedule the applied voltage of the Z-axis of the piezoelectric tube scanner to maintain a constant tip-sample interaction force during sample-scanning. Using the PID-like fuzzy controller allows the cantilever tip to track sample surface rapidly and accurately even though the topography of the surface is arbitrary and not given in advance. This rapid tracking response facilitates us to observe samples with high aspect ratio micro structures accurately and quickly. Besides, the overshoot which will result in tip crash in commercial AFMs with a traditional PID controller could be avoided. Additionally, the controller efforts can be intelligently scheduled by using the fuzzy logic. Thus, continuous manual gain-tuning by trial and error such as those in commercial AFMs is alleviated. In final, computer simulations and experimental verifications are provided to demonstrate the effectiveness and confirm the validity of the proposed controller.
The Parrot UAV Controlled by PID Controllers
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Koszewnik Andrzej
2014-08-01
Full Text Available The paper presents the process of modeling and designing control laws for four-rotor type of the Parrot UAV. The state space model is obtained by using several phenomena like gyroscopic effects for rigid bodies, propellers and rotors. The obtained model has been used to design PID control laws for roll, pitch, yaw angle and altitude, respectively. The numerical simulations of the closed loop model are shown that system in satisfy way stabilize flight of the quadro-rotor in all considered directions.
Robust PID design based on static H? loop-shaping method for steam generator water level control
International Nuclear Information System (INIS)
The problem for control of steam generator water level is complex because its complicated shrink and parameters of its model vary with operation conditions. Static H? loop shaping is used to design the robust PID controller for the steam generator. Simulation results show that the control efficiency of this scheme is better than that of the other three H? loop shaping based methods, and the derived controller has good reference tracking capability, distribution rejection ability and acceptable control performance at different operation points. (authors)
Methods for robust PID control
Bajcinca, Naim
2013-01-01
A comprehensive theory for robust PID control in continuous-time and discrete-time domain is reviewed in this paper. For a given finite set of linear time invariant plants, algorithms for fast computation of robustly stabilizing regions in the ($k_P, k_I, k_D$)-parameter space are introduced. The main impetus is given by the fact that non-convex stable regions in the PID parameter space can be built up by convex polygonal slices. A simple and an elegant theory evolved in the...
Design and Stability Analysis of Fuzzy Switched PID Controller for Ship Track-Keeping
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Baozhu Jia
2012-10-01
Full Text Available The fuzzy switched PID controller which combines fuzzy PD and conventional PI controller is proposed for ship track-keeping autopilot In this paper. By using rudder angle, the whole voyage is divided into two operating regimes which named transient operating regime and steady operating regime respectively. The fuzzy PD controller is employed in transient operating regime for increasing response, reducing overshoot and shorting transition time. And conventional PI controller is used to improve the stable accuracy in steady operating regime. The global controller is achieved by fuzzy blending of all local controllers. Routh stability criterion is utilized to obtain the stability condition of closed-loop system. The simulation results show the effectiveness of proposed method.
Computer simulation system of neural PID control on nuclear reactor
International Nuclear Information System (INIS)
Neural network proportional integral differential (PID) controller on nuclear reactor is designed, and the control process is simulated by computer. The simulation result show that neutral network PID controller can automatically adjust its parameter to ideal state, and good control result can be gotten in reactor control process
Design of Robust PID Controller Using Hybrid Algorithm for Reduced Order Interval System
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Babu Thirumalaimuthu
2012-01-01
Full Text Available A system with parameter variation within bound creates interval in coefficients in the system polynomial and hence it is called as interval system. In this study, a model order reduction for linear interval system is attempted. A convergence technique is attempted to reduce the numerator polynomial. The denominator polynomial is reduced by using the methods such as retention of Markov parameter and time moments technique. A numerical approach is proposed to compute the reduced order interval model for a higher order linear time variant model. Also in this study, a novel technique using Particle Swarm assisted Bacterial Foraging Optimization (PSO-BFO based hybrid algorithm is proposed to search the PID controller parameters such as Kp, Ki and Kd. The algorithm is to obtain the best possible PID parameters with Integral Squared Error (ISE criterion minimization is as the objective function. Initially the controller parameters are obtained for reduced order model; then it is tested with the higher order model. A simulation is carried out to shows that the effectiveness of proposed model reduction algorithm and the controller performance. From the result it is observed that, the projected method provides enhanced performance for the interval system.
Poultry House Temperature Control Using Fuzzy-PID Controller
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Aborisade David O
2014-05-01
Full Text Available Temperature control of poultry house within thermal neutral zone of poultry birds is essential in order to reduce their mortality and increase production. The most advanced method to control the highly complex and nonlinear behaviour of the poultry house temperature, is fuzzy logic. On the other hand, PID controllers are used in most of poultry house due to its functional and structural simplicity. This paper presents a method of controlling the poultry house temperature by the combined action of both Fuzzy and PID controllers. In the design, fuzzy controller uses the structure of two inputs and three outputs. Deviation e and deviation rate ? are the inputs of the system. These are translated into a fuzzy form, fuzzy processed according to IF…THEN rules to arrive at a single outcome value and then defuzzified to get accurate values of which are used to auto-tune PID controller to control the poultry house temperature. The performances of the Fuzzy-PID based poultry house temperature control scheme during hot weather are compared with the classical PID controller. The results show that the Fuzzy-PID scheme is able to control the poultry house temperature more effectively in terms of both the steady-state error and the settling time than that of PID controller.
Arezou Geramipour; Mohammad Khazaei; Ali Marjaninejad; Mehdi Khazaei3
2013-01-01
This paper emphasizes on a method for designing digital PID controller based on Field Programmable Gate Array (FPGA) device for regulating blood glucose level of type-I diabetic patients. The controller is tuned using Bergman Minimal model as a diabetic patient model in MATLAB and Simulink environment. The PID parameters are tuned using a genetic algorithm (GA). Because the speed of control systems has influence on their performance and stability, Field Programmable Gate Array (FPGA) device i...
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Highlights: • Multi-objective optimization based fractional order controller is designed for HTRS. • NSGAII is improved by iterative chaotic map with infinite collapses (ICMIC) operator. • ISE and ITSE are as chosen as objective functions in tuning parameters of HTRS. • FOPID controller outperforms the PID controller under various running conditions. • Trade-off between speed of reference tracking and damping of oscillation are shown. - Abstract: Fractional-order PID (FOPID) controller is a generalization of traditional PID controller using fractional calculus. Compared to the traditional PID controller, in FOPID controller, the order of derivative portion and integral portion is not integer, which provides more flexibility in achieving control objectives. Design stage of such an FOPID controller consists of determining five parameters, i.e. proportional, integral and derivative gains {Kp, Ki, Kd}, and extra integration and differentiation orders {?,?}, which has a large difference comparing with the conventional PID tuning rules, thus a suitable optimization algorithm is essential to the parameters tuning of FOPID controller. This paper focuses on the design of the FOPID controller using chaotic non-dominated sorting genetic algorithm II (NSGAII) for hydraulic turbine regulating system (HTRS). The parameters chosen of the FOPID controller is formulated as a multi-objective optimization problem, in which the objective functions are composed by the integral of the squared error (ISE) and integral of the time multiplied squared error (ITSE). The chaotic NSGAII algorithm, which is an incorporation of chaotic behaviors into NSGAII, is used as the optimizer to search true Pareto-front of the FOPID controller and designers can implement each of them based on objective functions priority. The designed chaotic NSGAII based FOPID controller procedure is applied to a HTRS system. A comparison study between the optimum integer order PID controller and optimum fractional order PID controller is presented in the paper. The simulation and some experimental results validate the superiority of the fractional order controllers over the integer controllers
Back stepping-Based-PID-Controller Designed for an Artificial Pancreas model
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ShaimaMahmou Mahdi
2011-01-01
Full Text Available Artificial pancreas is simulated to handle Type I diabetic patients under intensive care by automatically controlling the insulin infusion rate. A Backstepping technique is used to apply the effect of PID controller to blood glucose level since there is no direct relation between insulin infusion (the manipulated variable and glucose level in Bergman?s system model subjected to an oral glucose tolerance test by applying a meal translated into a disturbance. Backstepping technique is usually recommended to stabilize and control the states of Bergman's class of nonlinear systems. The results showed a very satisfactory behavior of glucose deviation to a sudden rise represented by the meal that increase the blood glucose
PID control design for chaotic synchronization using a tribes optimization approach
International Nuclear Information System (INIS)
Recently, the investigation of synchronization and control problems for discrete chaotic systems has stimulated a wide range of research activity including both theoretical studies and practical applications. This paper deals with the tuning of a proportional-integral-derivative (PID) controller using a modified Tribes optimization algorithm based on truncated chaotic Zaslavskii map (MTribes) for synchronization of two identical discrete chaotic systems subject the different initial conditions. The Tribes algorithm is inspired by the social behavior of bird flocking and is also an optimization adaptive procedure that does not require sociometric or swarm size parameter tuning. Numerical simulations are given to show the effectiveness of the proposed synchronization method. In addition, some comparisons of the MTribes optimization algorithm with other continuous optimization methods, including classical Tribes algorithm and particle swarm optimization approaches, are presented.
Design a PID Controller of BLDC Motor by Using Hybrid Genetic-Immune
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Mohammed Obaid Ali
2011-01-01
Full Text Available In this paper hybridization between two optimization methods that are Genetic Algorithm (GA and Artificial Immune System (AIS is presented for determining the optimal proportional-integral derivative (PID controller parameters, for speed control of a linear brushless DC motor. The brushless DC motor is modeled in Simulink and the Hybrid GA-AIS algorithm is implemented in MATLAB. The capability of overcoming the shortcomings of individual algorithms without losing their advantages makes the hybrid techniques superior to the stand-alone ones based on the dominant purpose of hybridization. The Hybrid GA-AIS method has superior features, stable convergence characteristic and good computational efficiency. The results that get it from hybridization are improved compares with that results can get from GA and AIS alone. The hybrid GA-AIS consists of two processes, the first one is a genetic algorithm (GA is typically initialized population randomly. Hybridization is faster and more accurate compare with GA AIS alone.
PID control for enhanced fuel temperature response
International Nuclear Information System (INIS)
Simulation technology now provides the ability to design, test, and implement advanced control algorithms without the need for traditional writing and debugging of computer programs. The National Science Foundation and Electric Power Research Institute jointly sponsor a program for the experimental development of power reactor control using this simulation technology. A proportional-integral-derivative (PID) controller to enhance the temperature response of a reactor has been identified using a high-level block diagram system model and sophisticated simulation technology
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Azita Yazdanpanah
2014-04-01
Full Text Available Continuum robot manipulators are optimized to meet best trajectory requirements. Closed loop control is a key technology that is used to optimize the system output process to achieve this goal. In order to conduct research in the area of closed loop control, a control oriented cycle-to-cycle continuum robot model, containing dynamic model information for each individual continuum robot manipulator, is a necessity. In this research, the continuum robot manipulator is modeled according to information between joint variable and torque, which is represented by the nonlinear dynamic equation. After that, a multi-input-multi-output baseline computed torque control scheme is used to simultaneously control the torque load of system to regulate the joint variables to desired levels. One of the most important challenge in control theory is on-line tuning therefore fuzzy supervised optimization is used to tune the modified baseline and computed torque control coefficient. The performance of the modified baseline computed torque controller is compared with that of a baseline proportional, integral, and derivative (PID controller.
PID Control Effectiveness for Surface Reactor Concepts
International Nuclear Information System (INIS)
Control of space and surface fission reactors should be kept as simple as possible, because of the need for high reliability and the difficulty to diagnose and adapt to control system failures. Fortunately, compact, fast-spectrum, externally controlled reactors are very simple in operation. In fact, for some applications it may be possible to design low-power surface reactors without the need for any reactor control after startup; however, a simple proportional, integral, derivative (PID) controller can allow a higher performance concept and add more flexibility to system operation. This paper investigates the effectiveness of a PID control scheme for several anticipated transients that a surface reactor might experience. To perform these analyses, the surface reactor transient code FRINK was modified to simulate control drum movements based on bulk coolant temperature
PID Control Effectiveness for Surface Reactor Concepts
Dixon, David D.; Marsh, Christopher L.; Poston, David I.
2007-01-01
Control of space and surface fission reactors should be kept as simple as possible, because of the need for high reliability and the difficulty to diagnose and adapt to control system failures. Fortunately, compact, fast-spectrum, externally controlled reactors are very simple in operation. In fact, for some applications it may be possible to design low-power surface reactors without the need for any reactor control after startup; however, a simple proportional, integral, derivative (PID) controller can allow a higher performance concept and add more flexibility to system operation. This paper investigates the effectiveness of a PID control scheme for several anticipated transients that a surface reactor might experience. To perform these analyses, the surface reactor transient code FRINK was modified to simulate control drum movements based on bulk coolant temperature.
Design of a Control System for an Autonomous Vehicle Based on Adaptive-PID
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Pan Zhao
2012-07-01
Full Text Available The autonomous vehicle is a mobile robot integrating multi?sensor navigation and positioning, intelligent decision making and control technology. This paper presents the control system architecture of the autonomous vehicle, called “Intelligent Pioneer”, and the path tracking and stability of motion to effectively navigate in unknown environments is discussed. In this approach, a two degree?of?freedom dynamic model is developed to formulate the path?tracking problem in state space format. For controlling the instantaneous path error, traditional controllers have difficulty in guaranteeing performance and stability over a wide range of parameter changes and disturbances. Therefore, a newly developed adaptive?PID controller will be used. By using this approach the flexibility of the vehicle control system will be increased and achieving great advantages. Throughout, we provide examples and results from Intelligent Pioneer and the autonomous vehicle using this approach competed in the 2010 and 2011 Future Challenge of China. Intelligent Pioneer finished all of the competition programmes and won first position in 2010 and third position in 2011.
APPLICATION OF NONLINEAR PID CONTROLLER IN SUPERCONDUCTING MAGNETIC ENERGY STORAGE
Peng, Xiaotao; Cheng, Shijie
2011-01-01
As a new control strategy, Nonlinear PID(NLPID) controller has been introduced in the power system successfully. The controller is free of planting model foundation in the design procedure and realized simply. In this paper, a nonlinear PID controller used for superconducting magnetic energy storage (SMES) unit connected to a power system is proposed. Purpose of designing such controller is to improve the stability of the power system in a relatively wide operation range. The design procedure...
Adaptive Fractional PID Controller for Robot Manipulator
Delavari, H.; Ghaderi, R.; Ranjbar, N. A.; Hosseinnia, S. H.; Momani, S.
2012-01-01
A Fractional adaptive PID (FPID) controller for a robot manipulator will be proposed. The PID parameters have been optimized by Genetic algorithm. The proposed controller is found robust by means of simulation in a tracking job. The validity of the proposed controller is shown by simulation of two-link robot manipulator. The result then is compared with integer type adaptive PID controller. It is found that when error signals in the learning stage are bounded, the trajectory...
PID Fuzzy Logic Controller System for DC Motor Speed Control
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H. Samsul Bachri M.
2004-04-01
Full Text Available A good controller system must have resilience to disturbance and must be able to response quickly and accurately. Problem usually appears when PID controller system was built sensitively hence the system’s respon to the disturbance will yield big overshot/undershot then the possibility of oscillation to be happened is excelsior. When the controller system was built insensitively, the overshot/undershot will be small but the recovery time will be longer. Hybrid controller system could overcome those problems by combining PID control system with fuzzy logic. The main control of this system is PID controller while the fuzzy logic acts to reduce an overshot/undershot and a recovery time. The fuzzy logic controller is designed with two input error and delta error and one output of the motor speed. The output of fuzzy logic controller should be only half of the PID controller for limiting entirely fuzzy output. This hybrid system design has a better respon time controller system than PID controller without fuzzy logic.
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Bikash Dey
2014-01-01
Full Text Available This paper present three different control strategies based on PI Control, PID control and Two degree of freedom PID control for Continuous Stirred Tank Reactor (CSTR.CSTR which offers a diverse range of application in the field of chemical engineering as well as in the control engineering and is an attractive research area for process control researchers. Our objective is to control the temperature of CSTR in presence of the set point. MATLAB SIMULINK software is used for model design and simulation
HIERARCHICAL FUZZY PID CONTROLLER USING GRANULAR COMPUTING FOR INVERTED PENDULUM
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POTTEM SAI THARUN, M.J. NIGAM
2013-07-01
Full Text Available The inverted pendulum (IP is among the most difficult systems to control in the field of control engineering. The process is non linear and unstable. The objective of this paper is to balance the pendulum vertically on a motor driven wagon by the use of hierarchical fuzzy PID controller. The hierarchical fuzzy PID controller divides the control system into multiple granular levels and adopts different control strategies in different granularities. We use different fuzzy controls forcoarse adjustment in the coarse granularity and adopt classical PID as fine control in the fine granularity. Then we design asupervisor which is a fuzzy controller to switch between the different fuzzy controllers and PID control smoothly
Rama Reddy, D.; Sailaja, Dr M.
2012-01-01
This paper describes the stability regions of PID (Proportional +Integral+ Derivative) and a new PID with series leading correction (SLC) for Networked control system with time delay. The new PID controller has a tuning parameter ‘?’. The relation between ?, KP, KI and KD is derived. The effect of plant parameters on stabilityregion of PID controllers and SLC-PID controllers in first-order and second-order systems with time delay are also studied. Finally, an open-loop zero was inserted...
A Practical Application of IMC-PID Controller in Unmanned Vehicle
Qin Gang; Song Le; Hu Ling
2013-01-01
In allusion to unmanned vehicle steering control of the brushless DC motor control system, traditional PID controller parameter adjustment complex, weak ability to adapt to the environment and other issues, on the basis of the analysis of internal model control and classical PID control internal corresponding relationship, comprehensive its advantages, The design uses a brushless DC motor in the steering control system for unmanned vehicles based on the internal model PID controller ( IMC-PID...
Intelligent PID Controller on Soft Computing
Honghua Xu; Xiaoqiang Di; Huamin Yang; Guangcai Cui
2012-01-01
The PID control algorithm is used for the control of almost all loops in the process industries, and is also the basis for many advanced control algorithms and strategies. For complex systems, controller’s structure and parameters need to rely on experience and on line tuning to determine. Application of soft computing techniques can realize self-tuning of controller parameters. In this paper, the author applies fuzzy system, neural network technique and genetic algorithm to PID control...
International Nuclear Information System (INIS)
In any of the control applications, controller design is the most important part. There are different types of controller architectures available in control literature. In this research work, various low order plus dead time transfer function models of industrial boiler and heat exchanger are considered. A PI/PID controller is used to control various processes that involve boiler and heat exchanger. This comprise of controlling of parameters such as temperature, pressure, flow and level. The technique used for designing the controller is known as Internal Model Control. The designed controller has to give optimal control results irrespective of undesired situation like plant and equipment saturation. So the performance and stability is tested and verified for Linear Time Invariant Systems. (author)
Multivariable PID Controller For Robotic Manipulator
Seraji, Homayoun; Tarokh, Mahmoud
1990-01-01
Gains updated during operation to cope with changes in characteristics and loads. Conceptual multivariable controller for robotic manipulator includes proportional/derivative (PD) controller in inner feedback loop, and proportional/integral/derivative (PID) controller in outer feedback loop. PD controller places poles of transfer function (in Laplace-transform space) of control system for linearized mathematical model of dynamics of robot. PID controller tracks trajectory and decouples input and output.
Tuning of PID load frequency controller for power systems
International Nuclear Information System (INIS)
PID tuning of load frequency controllers for power systems is discussed in this paper. The tuning method is based on a two-degree-of-freedom internal model control (IMC) design method, and the performance of the resulting PID controller is related to two tuning parameters thus detuning is easy when necessary. Then an anti-GRC scheme is proposed to overcome the generation rate constraints. Finally, the method is extended to two-area cases.
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Arezou Geramipour
2013-04-01
Full Text Available This paper emphasizes on a method for designing digital PID controller based on Field Programmable Gate Array (FPGA device for regulating blood glucose level of type-I diabetic patients. The controller is tuned using Bergman Minimal model as a diabetic patient model in MATLAB and Simulink environment. The PID parameters are tuned using a genetic algorithm (GA. Because the speed of control systems has influence on their performance and stability, Field Programmable Gate Array (FPGA device is considered. A Simulink to FPGA flow is applied to the structure of PID controller with Xilinx blocks in Simulink. The results of blood glucose of two diabetic patient models using different quantization in bits are simulated. The results show that unsuitable number of bits cause hypoglycemia and increasing the peak of blood glucose in diabetic patients. System Generator and Integrated Software Environment (ISE are used for creating Bitstream file that can be downloaded into FPGA device. The results show that implementation of PID controller on FPGA using System Generator is compact and high speed and causes the designer can evaluate and implement different designs simply.
Research on fuzzy PID control to electronic speed regulator
Xu, Xiao-gang; Chen, Xue-hui; Zheng, Sheng-guo
2007-12-01
As an important part of diesel engine, the speed regulator plays an important role in stabilizing speed and improving engine's performance. Because there are so many model parameters of diesel-engine considered in traditional PID control and these parameters present non-linear characteristic.The method to adjust engine speed using traditional PID is not considered as a best way. Especially for the diesel-engine generator set. In this paper, the Fuzzy PID control strategy is proposed. Some problems about its utilization in electronic speed regulator are discussed. A mathematical model of electric control system for diesel-engine generator set is established and the way of the PID parameters in the model to affect the function of system is analyzed. And then it is proposed the differential coefficient must be applied in control design for reducing dynamic deviation of system and adjusting time. Based on the control theory, a study combined control with PID calculation together for turning fuzzy PID parameter is implemented. And also a simulation experiment about electronic speed regulator system was conducted using Matlab/Simulink and the Fuzzy-Toolbox. Compared with the traditional PID Algorithm, the simulated results presented obvious improvements in the instantaneous speed governing rate and steady state speed governing rate of diesel-engine generator set when the fuzzy logic control strategy used.
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Hualong Xie
2015-04-01
Full Text Available A biped robot with heterogeneous legs (BRHL is proposed to provide an ideal test-bed for intelligent bionic legs (IBL. To make artificial leg gait better suited to a human, a four-bar mechanism is used as its knee joint, and a pneumatic artificial muscle (PAM is used as its driving source. The static mathematical model of PAM is established and the mechanical model of a single degree of freedom of a knee joint driven by PAM is analyzed. A control simulation of an artificial leg based on PID control algorithm is carried out and the simulation results indicate that the artificial leg can simulate precisely a normal human walking gait.
Tuning Of PID Controller Of Inverted Pendulum Using Genetic Algorithm
Kunal Chakraborty; Rabi Ranjan Mukherjee; Suvobratra Mukherjee
2013-01-01
This paper presents different types of mathematical modelling of Inverted Pendulum and also a Proportional-Intregal-Derative (PID) controller is designed for its stabilization. After desiging of PID controller some reference stable system has been selected and then different types of error has been optimized (minimized) by using Genetic algorithms. The proposed system extends classical inverted pendulum by incorporating two moving masses. Also a tuning mechanism is done by genetic algorithm f...
FPGA Based Modified Fuzzy PID Controller for Pitch Angle of Bench-top Helicopter
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A.A. Aldair
2012-01-01
Full Text Available Fuzzy PID controller design is still a complex task due to the involvement of a large number of parameters in defining the fuzzy rule base. To reduce the huge number of fuzzy rules required in the normal design for fuzzy PID controller, the fuzzy PID controller is represented as Proportional-Derivative Fuzzy (PDF controller and Proportional-Integral Fuzzy (PIF controller connected in parallel through a summer. The PIF controller design has been simplified by replacing the PIF controller by PDF controller with accumulating output. In this paper, the modified Fuzzy PID controller design for bench-top helicopter has been presented. The proposed Fuzzy PID controller has been described using Very High Speed Integrated Circuit Hardware Description Language(VHDL and implemented using the Field Programmable Gate Array (FPGA board. The bench-top helicopter has been used to test the proposed controller. The results have been compared with theconventional PID controller and Internal Model Control Tuned PID (IMC-PID Controller. Simulation results show that the modified Fuzzy PID controller produces superior controlperformance than the other two controllers in handling the non-linearity of the helicopter system. The output signal from the FPGA board is compared with the output of the modified Fuzzy PID controllerto show that the FPGA board works like the Fuzzy PID controller. The result shows that the plant responses with the FPGA board are much similar to the plant responses when using simulation software based controller
Scientific Electronic Library Online (English)
Leonardo, Solaque Guzmán; Cristhian Andrey, Cristancho Cardozo; Camilo Andrés, Gil Cárdenas.
2014-01-01
Full Text Available El presente artículo tiene por objeto mostrar una estructura de dos grados de libertad, concebida y diseñada para aproximarse a la experimentación de leyes de control de sistemas tipo helicópteros de cuatro hélices (Quad-Rotor - Unmanned Aerial Vehicle). Se realizó el modelado y control para dicha p [...] lataforma. Dos tipos de control se abarcaron: uno basado en técnicas lineales tipo PID, que hace uso de la linealización por series de Taylor; y el otro basado en técnicas de control difuso. Se deja una plataforma abierta y, mediante la incursión en software-hardware in loop, se habilita para experimentar otras teorías de control. Abstract in english This article is intended to show a structure of two degrees of freedom and two techniques of control. This system was conceived and designed in order to test different system control strategies able to command four-propeller-like helicopters (Quad-Rotor - Unmanned Aerial Vehicle). This platform was [...] modeled and controlled. Two control techniques were included: a linear technique PID-like control that makes use of the Taylor series linearization, and another technique based on fuzzy control. This work leaves an open platform and, through the software-hardware in loop approach, this platform is enabled to develop and test of other control theories.
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???
2013-04-01
Full Text Available ????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????PID???????????????±0.1??????????????????????????10??Temperature sensors are widely used in industrial and agricultural production, scientific research and other areas of life, and play an important role in the temperature control system. The high precision temperature control sys-tem has a very important place in measurement and control instrument development and deep processing industry. So, it has very strong application value and practical significance to design and develop a high precision temperature control system. In this paper, based on the hardware design of temperature control system, through incremental PID algorithm, a design of a temperature control in the range of ±0.1°C high precision temperature control system is completed, when compared with the existing similar temperature control systems, precision increases nearly 10 times.
Intelligent PID Controller on Soft Computing
Directory of Open Access Journals (Sweden)
Honghua Xu
2012-10-01
Full Text Available The PID control algorithm is used for the control of almost all loops in the process industries, and is also the basis for many advanced control algorithms and strategies. For complex systems, controller’s structure and parameters need to rely on experience and on line tuning to determine. Application of soft computing techniques can realize self-tuning of controller parameters. In this paper, the author applies fuzzy system, neural network technique and genetic algorithm to PID controller in order to achieve intelligent adjustment the controlled variables. Simulation results show that the application of soft computing techniques in the controller has better control quality.
Criteria and Trade-offs in PID Design
Garpinger, Olof; Ha?gglund, Tore; A?stro?m, Karl Johan
2012-01-01
Control design is a rich problem which requires that many issues such as load disturbances and set-point responses, model uncertainty, and measurement noise are taken into account. These issues are discussed for design of PI and PID controllers. The purpose is to give insight into the different criteria and their trade-offs, not to give specific tuning methods.
Attitude Control of a Quadrotor with Optimized PID Controller
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Hossein Bolandi
2013-08-01
Full Text Available A new approach to control, stabilization and disturbance rejection of attitude subsystem of quadrotor is presented in this article. Analytical method is used to tune conventional structure of PID controller. SISO approach is implemented for control structure to achieve desired objectives. The performance of the designed control structure is evaluated through time domain factors such as overshoot, settling time and integral error index, and robustness. A comparison is done between designed controller and back-step controller applied to main model of quadrotor. The results of simulation show the effectiveness of designed control scheme.
Wind turbine pitch control using ICPSO-PID algorithm
DEFF Research Database (Denmark)
Xu, Chang; Tian, Qiangqiang
2013-01-01
For the traditional simplified first-order pitch-control system model, it is difficult to describe a real dynamic characteristic of a variable pitch action system, thus a complete high order mathematical model has to be developed for the pitch control of wind turbine generation (WTG). In the paper, a pitch controller was designed based on power and wind speed and by considering the inertia and delay characteristics of a pitch-control system to achieve a constant power output when a wind speed was beyond the rated one. A novel ICPSO-PID control algorithm was proposed based on a combination of improved cooperative particle swarm optimization (ICPSO) and PID, subsequently, it was used to tune the pitch controller parameters; thus the difficulty in PID tuning was removed when a wind speed was above the rated speed. It was indicated that the proposed optimization algorithm can tune the pitch controller parameters quickly; and the feed-forward controller for wind speed can improve dynamics of a pitch-control system; additionally the power controller can allow a wind turbine to have a constant power output as a wind speed is over the rated one. Compared with a conventional PID, the controller with ICPSO-PID algorithm has a smaller overshoot, a shorter tuning time and better robustness. The design method proposed in the paper can be applied in a practical electro-hydraulic pitch control system for WTG.
A Real Time IMC Tuned PID Controller for DC Motor
Saranya, M.; Pamela, Asst Prof D.
2012-01-01
This paper presents a Internal Model Control(IMC) tuned PID controller method for the DC motor for robust operation.IMC is a process model approach to design the PID controller parameter to obtain the optimal setpoint tracking and load disturbance rejection.This method of control which is based on the accurate model of the process,leads to the design of a control system that is stable and robust.The results of the IMC tuning method when compared with the Ziegler Nichols (ZN) closed loop tunin...
ANFIS-PID Control FES-Supported Sit-to-Stand in Paraplegics: (Simulation Study)
Rufaida Hussain; Rasha Massoud; Moustafa Al-Mawaldi
2014-01-01
Adaptive Neuro-fuzzy Inference System (ANFIS) controller was designed to control knee joint during sit to stand movement through electrical stimuli to quadriceps muscles. The developed ANFIS works as an inverse model to the system (functional electrical stimulation (FES)-induced quadriceps-lower leg system), while there is a proportional-integral-derivative (PID) controller in the feedback control. They were designated as ANFIS-PID controller. To evaluate the ANFIS-PID controller, two control...
Novel intelligent PID control of traveling wave ultrasonic motor.
Jingzhuo, Shi; Yu, Liu; Jingtao, Huang; Meiyu, Xu; Juwei, Zhang; Lei, Zhang
2014-09-01
A simple control strategy with acceptable control performance can be a good choice for the mass production of ultrasonic motor control system. In this paper, through the theoretic and experimental analyses of typical control process, a simpler intelligent PID speed control strategy of TWUM is proposed, involving only two expert rules to adjust the PID control parameters based on the current status. Compared with the traditional PID controller, this design requires less calculation and more cheap chips which can be easily involved in online performance. Experiments with different load torques and voltage amplitudes show that the proposed controller can deal with the nonlinearity and load disturbance to maintain good control performance of TWUM. PMID:24957274
A CHS based PID Controller for Unified Power Flow Controller
Jalilzadeh, S.; Noroozian, R.; Bakhshi, M.
2012-01-01
This paper presents a method for designing of proportional-integral-derivative (PID) controller based on unified power flow controller (UPFC) using chaotic harmony search algorithm (CHS) for damping of low frequency oscillations (LFO) in a power system. The main aim of this paper, optimization of selected gains with the time domainbased objective function which is solved by chaotic harmony search algorithm. The performance of the proposed singlemachine infinite-bus system (SMIB) equipped with...
A Real Time IMC Tuned PID Controller for DC Motor
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M.SARANYA
2012-04-01
Full Text Available This paper presents a Internal Model Control(IMC tuned PID controller method for the DC motor for robust operation.IMC is a process model approach to design the PID controller parameter to obtain the optimal setpoint tracking and load disturbance rejection.This method of control which is based on the accurate model of the process,leads to the design of a control system that is stable and robust.The results of the IMC tuning method when compared with the Ziegler Nichols (ZN closed loop tuning provides a commendable improvement in the overshoot,rise time and settling time of the system.Simulated results in LabVIEW and Matlab using the PID and IMC are presented and also the same has been implemented and tested for a 12volt DC motor.
Implementation of PID and Fuzzy PID controllers for Temperature control in CSTR
Srinivasulu Raju, S.; Ravi Kiran, T. K. S.; Chaitanya Kumar Reddy, K. M. N.; Viswanath, M.
2013-01-01
Continuous Stirred Tank Reactor (CSTR) is an important subject in chemical process and offering a diverse range of researches in the area of the chemical and control engineering. Various control approaches have been applied on CSTR to control its parameters. This paper gives the demonstration about the temperature control of CSTR reactor using a fuzzy PID controller to meet the desired temperature in presence of set point changes. The parameters of PID controller can be calculated by conducti...
Scientific Electronic Library Online (English)
ERNESTO, GRANADO; WILLIAM, COLMENARES; OMAR, PÉREZ.
Full Text Available Este trabajo presenta el diseño de un controlador PID multivariable robusto, el cual garantiza la estabilidad a lazo cerrado de sistemas lineales sujetos a incertidumbre poliédrica. El algoritmo se basa en una Metodología Iterativa de Desigualdades Lineales Matriciales (ILMI). Los resultados obtenid [...] os también pueden ser usados para calcular un controlador estático estabilizante de realimentación de la salida. La técnica de diseño es ilustrada mediante ejemplos numéricos. Abstract in english This paper presents the design of a robust multivariable PID controller, which guarantees the stability of the closed loop linear systems subjected to polytopic uncertainty. The algorithm is based on an Iterative Linear Matrix Inequality (ILMI) approach. The obtained results may also be used to comp [...] ute a static output feedback stabilizing controller. The design technique is illustrated with numerical examples.
A Novel Evolutionary Tuning Method for Fractional Order PID Controller
Subhransu Padhee; Abhinav Gautam; Yaduvir Singh; Gagandeep Kaur
2011-01-01
PID controller is a well known controller which is used in most control applications. Around 90% control applications use PID controller as the controlling element. The tuning of PID controller is mostly done using Zeigler-Nichols tuning method. But there are some inherent drawbacks of Ziegler-Nichols based tuning. For the optimal tuning of controller, the tuned values have to be changed using computer simulation to meet the process needs. In PID controller the derivative and the integral or...
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D. RAMA REDDY
2012-07-01
Full Text Available This paper describes the stability regions of PID (Proportional +Integral+ Derivative and a new PID with series leading correction (SLC for Networked control system with time delay. The new PID controller has a tuning parameter ‘?’. The relation between ?, KP, KI and KD is derived. The effect of plant parameters on stabilityregion of PID controllers and SLC-PID controllers in first-order and second-order systems with time delay are also studied. Finally, an open-loop zero was inserted into the plant-unstable second order system with time delay so that the stability regions of PID and SLC-PID controllers get effectively enlarged. The total system isimplemented using MATLAB/Simulink.
Modeling, Design and Implement of Steering Fuzzy PID Control System for DORIS Robot
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Khaled Sailan
2014-01-01
Full Text Available This paper presents research in steering control techniques for an automated all-terrain vehicle (ATV. According to steering wheel angle and Gas or Break Pedal, the proposed fuzzy inference logic can provide needed assist to the left and right motor position which controls the position of build-in proportional valve. Position valve increase or decrease the fluid velocity which increase or decrease the hydraulic motor speed and vehicle speed .different speed for left and right motor cause turn left or right. Under experts’ knowledge of fuzzy control, the electro-Hydraulic power steering system can satisfy smooth turning left or right. Modeling and Experimental results demonstrate that the proposed method is reasonable and feasible.
Modeling Of Pid Controller Based Smps Using Fpga
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SHUBHANGI V.PATIL
2013-02-01
Full Text Available This paper presents a proportional integral derivative (PID controller model for buck converter topology of switch mode power supply (SMPS. PID controller in terms of the settling time while exhibiting a greater degree of robustness regarding disturbance rejection represented by severe changes in static and dynamic loads. The controller is used to change the duty cycle of the converter and thereby, the voltage is regulated. The buck converter, P, PI and PID controller are modeled and are evaluated by computer simulations. It has been found that the transient performance and steady state performance is improved using PID controller. SMPS design can produce very compact and lightweight supplies. Power conversion efficiencies of SMPS are 70 & 80 %. Implementation of SMPS by using FPGA, it gives the better performance and faster transient response. Improves the steady state performance and transient response by using PID controller, it is possible to design stable, efficient and ruggedized SMPS which has faster transient response for dynamically switching loads.In SMPS the switching action means the series regulator element is either on or off and therefore little energy is dissipated as heat and very high efficiency levels can be achieved. As a result of the high efficiency and low levels of heat dissipation, the switch mode power supplies can be made more compact. Switch mode power supply technology can be sued to provide high efficiency voltage conversions in voltage step up or boost applications or step down buck applications
Seltzer, S. M.
1976-01-01
The problem discussed is to design a digital controller for a typical satellite. The controlled plant is considered to be a rigid body acting in a plane. The controller is assumed to be a digital computer which, when combined with the proposed control algorithm, can be represented as a sampled-data system. The objective is to present a design strategy and technique for selecting numerical values for the control gains (assuming position, integral, and derivative feedback) and the sample rate. The technique is based on the parameter plane method and requires that the system be amenable to z-transform analysis.
Variable-order fuzzy fractional PID controller.
Liu, Lu; Pan, Feng; Xue, Dingyu
2015-03-01
In this paper, a new tuning method of variable-order fractional fuzzy PID controller (VOFFLC) is proposed for a class of fractional-order and integer-order control plants. Fuzzy logic control (FLC) could easily deal with parameter variations of control system, but the fractional-order parameters are unable to change through this way and it has confined the effectiveness of FLC. Therefore, an attempt is made in this paper to allow all the five parameters of fractional-order PID controller vary along with the transformation of system structure as the outputs of FLC, and the influence of fractional orders ? and ? on control systems has been investigated to make the fuzzy rules for VOFFLC. Four simulation results of different plants are shown to verify the availability of the proposed control strategy. PMID:25440947
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Farzin Piltan, N. Sulaiman, Arash Zargari, Mohammad Keshavarz & Ali Badri
2011-10-01
Full Text Available In this study, an on-line tunable gain model free PID-like fuzzy controller (GTFLC is designed forthree degrees of freedom (3DOF robot manipulator to rich the best performance. Fuzzy logiccontroller is studied because of its model free and high performance. Today, robot manipulatorsare used in unknown and unstructured environment and caused to provide sophisticated systems,therefore strong mathematical tools are used in new control methodologies to design adaptivenonlinear robust controller with acceptable performance (e.g., minimum error, good trajectory,disturbance rejection. The strategies of control robot manipulator are classified into two maingroups: classical and non-classical methods, however non linear classical theories have beenapplied successfully in many applications, but they also have some limitation. One of the mostimportant nonlinear non classical robust controller that can used in uncertainty nonlinear systems,are fuzzy logic controller. This paper is focuses on applied mathematical tunable gain method inrobust non classical method to reduce the fuzzy logic controller limitations. Therefore on-linetunable PID like fuzzy logic controller will be presented in this paper.
Setpoint Weighted PID Controller for the Electromechanical Actuator in Spacecraft
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R. Sumathi
2014-05-01
Full Text Available An intelligent control system for the rocket engine during electromechanical stage is designed and scrutinized in this paper. The rocket is the only vehicle that lift-offs the spacecraft in the space. But, the motion of the rocket can be influenced by internal and external disturbances. Furthermore, the rocket is a multi-input and multi-output nonlinear system whose dynamics are unstable and poorly understood. So the orientation of the spacecraft in precise position is so critical. Hence, attitude control of the rocket is a big challenge with real time. To make the rocket stable against the influences, this paper has examined the control technology such as linear quadratic regulator theory and setpoint weighted proportional integral derivative controller based on the two degree of freedom mathematical model. The transient behaviour of the LQR controller is not smooth and takes more time to settle in the defined position. Specific to the deficiencies of LQR, a setpoint weighted PID controller is proposed to improve the setpoint response. In conclusion, this paper compares the performance analysis of linear quadratic regulator and setpoint weighted PID controller. The simulation results indicate that the setpoint weighted PID controller has a remarkable improvement in terms of overshoot and settling time besides reducing steady state error. The proposed setpoint weighted PID controller enhances the system performance and produces enormous stability to the rocket engine.
The Fuzzy-PID compound control system for the HTR-10
International Nuclear Information System (INIS)
The mathematical model of the 10 MW high temperature gas-cooled test reactor (HTR-10) is developed, and described with transfer functions. The Fuzzy-PID compound control tactic is adopted to design the control system. The numerical simulation deals with the decrease of the nuclear power from 100% to 30% in 15 minutes. Furthermore, the simulation results are compared with those of independent PID control and independent fuzzy control, respectively. The comparison shows: when the nuclear power changes, with the Fuzzy-PID compound control, the outlet helium temperature follows its rated value. It is proved that the Fuzzy-PID compound control has better dynamic behavior and better steady precision
Tuning of PID Controller for A Linear Brushless DC Motor using Swarm Intelligence Technique
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Pooja Sharma,
2014-05-01
Full Text Available An Optimal Design of PID Controller is proposed in this paper. The Methodology of PSO Algorithm is utilized to search the optimal parameters of Proportional Integral Derivative (PID Controller for BLDC Motor. PSO is an Evolutionary Optimization Technique. A Linear Brushless DC Motors are known for higher efficiency and lower maintenance. The Brushless DC Motor is modeled in Simulink & tuning of PID controller using PSO is implemented in MATLAB. This Method was more efficient for Step Response Characteristics.
Tuning of PID Controller for A Linear Brushless DC Motor using Swarm Intelligence Technique
Pooja Sharma; Rajeev Gupta
2014-01-01
An Optimal Design of PID Controller is proposed in this paper. The Methodology of PSO Algorithm is utilized to search the optimal parameters of Proportional Integral Derivative (PID) Controller for BLDC Motor. PSO is an Evolutionary Optimization Technique. A Linear Brushless DC Motors are known for higher efficiency and lower maintenance. The Brushless DC Motor is modeled in Simulink & tuning of PID controller using PSO is implemented in MATLAB. This Method was more efficient ...
Agees Kumar, C.; Kesavan Nair, N.
2010-01-01
PID controller is widely used for main steam temperature control of boiler unit in thermal power plant. To avoid the drawback of current PID design methods, this paper presents a new design method for multi-objective PID controller to synthetically consider system requirement in reliability and robustness. Adaptive weighted PSO (AWPSO) technique is applied to the parameter optimization design. The optimization problem considered is highly nonlinear, complex, with multiple objectives and const...
ROBUST INTERNAL MODEL CONTROL STRATEGY BASED PID CONTROLLER FOR BLDCM
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A.PURNA CHANDRA RAO
2010-11-01
Full Text Available All the closed loop control system requires the controller for improvement of transient response of the error signal. Though the tuning of PID controller in real time is bit difficult and moreover it lacks the disturbance rejection capability. This paper presents a tuning of PID parameters based on internal model strategy. The advantageous of the proposed control strategy is well described in the paper. To test the validity of the proposed control, it is implemented in brushless dc motor drive. The mathematical model of brushless dc motor (BLDC is presented for control design. In addition the robustness of the control strategy is discussed. The proposed control strategy possesses good transient responses and good load disturbance response. In addition, the proposed control strategy possesses good tracking ability. To test the effectiveness of the proposed strategy, the BLDC is represented in transfer function model and later implemented in test system. The results are presented to validate the proposed control strategy for BLDC drive.
Bikash Dey; Lusika Roy
2014-01-01
This paper present three different control strategies based on PI Control, PID control and Two degree of freedom PID control for Continuous Stirred Tank Reactor (CSTR).CSTR which offers a diverse range of application in the field of chemical engineering as well as in the control engineering and is an attractive research area for process control researchers. Our objective is to control the temperature of CSTR in presence of the set point. MATLAB SIMULINK software is used for mo...
ROBUST INTERNAL MODEL CONTROL STRATEGY BASED PID CONTROLLER FOR BLDCM
Purna Chandra Rao, A.; Y. P. OBULESU,; CH. SAI BABU
2010-01-01
All the closed loop control system requires the controller for improvement of transient response of the error signal. Though the tuning of PID controller in real time is bit difficult and moreover it lacks the disturbance rejection capability. This paper presents a tuning of PID parameters based on internal model strategy. The advantageous of the proposed control strategy is well described in the paper. To test the validity of the proposed control, it is implemented in brushless dc motor driv...
Closed-Loop Anesthesia in Children using a PID Controller: A Pilot Study
Soltesz, Kristian; Heusden, Klaske; Dumont, Guy A.; Hägglund, Tore; Petersen, Christian; West, Nicholas; Ansermino, J. Mark
2012-01-01
The first study with a PID controller based automatic drug delivery system for propofol anesthesia in children is presented. It is shown that a robustly tuned PID controller is capable of delivering safe and adequate anesthesia. The design process of the control system is reviewed. Results are discussed and compared to those of two previous studies in adults.
Youxin Luo; Xiaoyi Che; Zhaoguo Chen
2012-01-01
PID control is used widely in hydraulic servo control system. The PID control parameters are very important to performance of hydraulic servo control system and how to find rapidly the optimum values of PID control parameters is very difficult problem. Based on Matlab/simulink software and taking the IATE standards of the optimization design as objective function, a global search optimization method, called Artificial Bee Colony Optimization Algorithm was applied for the o...
Tuning Of PID Controller Of Inverted Pendulum Using Genetic Algorithm
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Kunal Chakraborty
2013-03-01
Full Text Available This paper presents different types of mathematical modelling of Inverted Pendulum and also a Proportional-Intregal-Derative (PID controller is designed for its stabilization. After desiging of PID controller some reference stable system has been selected and then different types of error has been optimized (minimized by using Genetic algorithms. The proposed system extends classical inverted pendulum by incorporating two moving masses. Also a tuning mechanism is done by genetic algorithm for optimizing different gains of controller parameter. Also here different performance indeces are calculated in MATLAB environment. This paper addresses to demonstrate the capability of genetic algorithm’s to solve complex and constraint optimization problems via utilizing GA’s as a general purpose optimizing tool to solve different control system design problems.
PID Control in the Third Millennium Lessons Learned and New Approaches
Visioli, Antonio
2012-01-01
The early 21st century has seen a renewed interest in research in the widely-adopted proportional-integral-derivative (PID) controllers. PID Control in the Third Millennium provides an overview of the advances made as a result. Featuring: · new approaches for controller tuning; · control structures and configurations for more efficient control; · practical issues in PID implementation; and · non-standard approaches to PID including fractional-order, event-based, nonlinear, data-driven and predictive control; the nearly twenty chapters provide a state-of-the-art resumé of PID controller theory, design and realization. Each chapter has specialist authorship and ideas clearly characterized from both academic and industrial viewpoints. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series o...
Research on CNC Machine Tool Fuzzy Immune PID Position Controller
Guoyong Zhao; Yong Shen; Lili Zhang
2013-01-01
CNC machine tool position controller connects control system with actuating mechanism and often adopts traditional PID control technology. But the traditional PID technology is hard to achieve rapid adjustment and lesser overshoot at the same time. Consequently, the CNC machine tool fuzzy immune PID position controller based on immunity feedback control theory is developed in the study. The experiment results show that the developed controller can achieve shorter adjust time, better rapidity ...
PID and predictive control of electrical drives and power converters using Matlab Simulink
Wang, Liuping; Yoo, Dae; Gan, Lu; Ng, Ki
2014-01-01
A timely introduction to current research on PID and predictive control by one of the leading authors on the subject PID and Predictive Control of Electric Drives and Power Supplies using MATLAB/Simulink examines the classical control system strategies, such as PID control, feed-forward control and cascade control, which are widely used in current practice. The authors share their experiences in actual design and implementation of the control systems on laboratory test-beds, taking the reader from the fundamentals through to more sophisticated design and analysis. The book contains secti
Research on CNC Machine Tool Fuzzy Immune PID Position Controller
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Guoyong Zhao
2013-01-01
Full Text Available CNC machine tool position controller connects control system with actuating mechanism and often adopts traditional PID control technology. But the traditional PID technology is hard to achieve rapid adjustment and lesser overshoot at the same time. Consequently, the CNC machine tool fuzzy immune PID position controller based on immunity feedback control theory is developed in the study. The experiment results show that the developed controller can achieve shorter adjust time, better rapidity and higher steady-state precision in contrast to traditional PID position controller.
Fractional order PID controller for improvement of PMSM speed control in aerospace applications
Saraji, Ali Motalebi; Ghanbari, Mahmood
2014-12-01
Because of the benefits reduced size, cost and maintenance, noise, CO2 emissions and increased control flexibility and precision, to meet these expectations, electrical equipment increasingly utilize in modern aircraft systems and aerospace industry rather than conventional mechanic, hydraulic, and pneumatic power systems. Electric motor drives are capable of converting electrical power to drive actuators, pumps, compressors, and other subsystems at variable speeds. In the past decades, permanent magnet synchronous motor (PMSM) and brushless dc (BLDC) motor were investigated for aerospace applications such as aircraft actuators. In this paper, the fractional-order PID controller is used in the design of speed loop of PMSM speed control system. Having more parameters for tuning fractional order PID controller lead to good performance ratio to integer order. This good performance is shown by comparison fractional order PID controller with the conventional PI and tuned PID controller by Genetic algorithm in MATLAB soft wear.
Modeling Of Pid Controller Based Smps Using Fpga
Patil, Shubhangi V.; Shukla, Tejashree R.; Shah, Paresh J.
2013-01-01
This paper presents a proportional integral derivative (PID) controller model for buck converter topology of switch mode power supply (SMPS). PID controller in terms of the settling time while exhibiting a greater degree of robustness regarding disturbance rejection represented by severe changes in static and dynamic loads. The controller is used to change the duty cycle of the converter and thereby, the voltage is regulated. The buck converter, P, PI and PID controller are modeled and are ev...
A New Fuzzy Sliding Mode Controller with PID Sliding Surface for Underwater Manipulators
Hossein Nejatbakhsh Esfahani; Vahid Azimirad
2013-01-01
Design of an accurate and robust controller is challenging topic in underwater manipulator control. This is due to hydrodynamic disturbances in underwater environment. In this paper a sliding mode control (SMC) included a PID sliding surface and fuzzy tunable gain is designed. In this proposed controller robustness property of SMC and fast response of PID are incorporated with fuzzy rules to reduce error tracking. In the control law, for remove of chattering, the exponential function is used....
Predictive PID Control Based on GPC Control of Inverted Pendulum
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Safa Bouhajar
2014-05-01
Full Text Available Having regard to the large application of the inverted pendulum in robotic system, this study is interested in controlling this process with two strategies of controls. The first proposed control is the state feedback with an observer based on the Generalized Predictive Control (GPC algorithm. In the second proposed control we used the characteristic of predictive control GPC to improve the performance of the classical PID controller. The obtained results have been discussed and compared; the simulation results obtained by the predictive PID control are mentioned.
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A. Harsha Ragini
2013-01-01
Full Text Available In terms of control multi loop processes are very complicated when compared to single loop processes due to the existence of interactions between manipulated and controlled variables. During the last several decades this topic has drawn lot of research attention and many multivariable control approaches have been proposed. This Project proposes an Effective Open-loop Transfer Function (EOTF method for PI/PID design of multi-loop control processes, by employing the concepts of Internal Model Control (IMC with reduced EOTF and Dynamic Relative Gain Array (DRGA. With this method a multiloop control system is decomposed into a set of independent single input single output (SISO loops. The advantages of the proposed method are: (i the overall control system performance is better compared with existing methods, and (ii the control system is robust. This technique works with satisfactory performance even under significant model mismatches that commonly occur in the process control industry. With the help of Effective Open-loop Transfer Function (EOTF - based method and DRGA concept, dynamic interactions are satisfactorily taken in to account. Benchmark examples of multivariable industrial processes with different interaction characteristics are used in this paper to demonstrate the simplicity and effectiveness of the proposed design method. The proposed method is simulated using MATLAB/SIMULINK.
Ankit Rastogi,; Pratibha Tiwari
2013-01-01
PID controller is the most widely used controller in industry for control applications due to its simple structure and easy parameter adjusting.But increase in complexity of control systems has introduced many modified PID controllers.The recent advancement in fractional order calculus has introduced fractional order PID controller and it has recieved a great attention for researchers.Fractional order PID (FOPID) controller is an advancement of conventional PID controller in which the derivat...
Experimental simulation system of fuzzy PID control on nuclear reactor
International Nuclear Information System (INIS)
A set of experimental simulation system is constructed to simulate the nuclear reactor, study of fuzzy PID control on nuclear reactor is done on this simulation system, and control result show that when reactor load change and coolant temperature's change can be soon restrained by using fuzzy PID controller, and precision of steady state is high, so good control result can be gotten
Sugisaka, Masanori; Mbaïtiga, Zacharie
There exist several problems in the control of vehicle brake including the development of control logic for anti-lock braking system (ABS), base-braking and intelligent braking. Here we study the intelligent braking control where we seek to develop a controller that can ensure that the braking torque commended by the driver will be achieved. In particular, we develop, a new PID Fuzzy controller (PIDFC) based on parallel operation of PI Fuzzy and PD Fuzzy control. Two fuzzy rule bases are constructed by separating the linguistic control rule for PID Fuzzy control into two parts: The first part is e-?e and the second part is ?2e-?e respectively. Then two Fuzzy controls employing these rules bases individually are synthesized and run in parallel. The incremental control input is determined by taking weighted mean of the outputs of two Fuzzy controls. The result, which proves the merit of the proposed method are compared to those found in the previous research.
International Nuclear Information System (INIS)
Highlights: ? We extend the concept of co-operation and co-evolution in some PSO variants. ? We use developed co-operative PSOs in multivariable PID controller design/tuning. ? We find that co-operative PSOs converge faster and give high quality solutions. ? Dividing the search space among swarms improves search efficiency. ? The proposed methods allow the practitioner for heterogeneous problem formulation. - Abstract: In this paper, multivariable PID controller design based on cooperative and coevolving multiple swarms is demonstrated. A simplified multi-variable MIMO process model of a ball mill pulverizing system with steady state decoupler is considered. In order to formulate computational models of cooperative and coevolving multiple swarms three different algorithms like real coded PSO, discrete binary PSO (DBPSO) and probability based discrete binary PSO (PBPSO) are employed. Simulations are carried out on three composite functions simultaneously considering multiple objectives. The cooperative and coevolving multiple swarms based results are compared with the results obtained through single swarm based methods like real coded particle swarm optimization (PSO), discrete binary PSO (DBPSO), and probability based discrete binary PSO (PBPSO) algorithms. The cooperative and coevolving swarms based techniques outperform the real coded PSO, PBPSO, and the standard discrete binary PSO (DBPSO) algorithm in escaping from local optima. Furthermore, statistical ptima. Furthermore, statistical analysis of the simulation results is performed to calculate the comparative reliability of various techniques. All of the techniques employed are suitable for controller tuning, however, the multiple cooperative and coevolving swarms based results are considerably better in terms of mean fitness, variance of fitness, and success rate in finding a feasible solution in comparison to those obtained using single swarm based methods.
Scientific Electronic Library Online (English)
José Danilo, Rairán-Antolines; Cindy Estéfany, Guerrero-Cifuentes; Jaime Alfredo, Mateus-Pineda.
2010-01-01
Full Text Available Neste artigo compara-se o desempenho de dois controladores -o proporcional integral derivativo (PID) e o difuso- sobre uma plataforma comercial, utilizada normalmente em aeromodelismo, o servomotor Futaba S3004. Antes de realizar a identificação sobre o motor, modificam-se o circuito de controle, a [...] etapa de potência e o sensor. Posteriormente utiliza-se o método do lugar das raízes para sintonizar o PID no controle da posição angular. As simulações e o controle realizam-se desde Simulink de MATLAB®, no qual se usa também uma placa de aquisição de dados, a PCI 6024E. No final do documento analisam-se os resultados e observa-se que o controlador PID tem o melhor comportamento, mas o do controlador difuso é comparável. Abstract in spanish En este artículo se compara el desempeño de dos controladores -el proporcional integral derivativo (PID) y el difuso- sobre una plataforma comercial, utilizada normalmente en aeromodelismo, el servomotor Futaba S3004. Antes de realizar la identificación sobre el motor, se modifican el circuito de co [...] ntrol, la etapa de potencia y el sensor. Enseguida se utiliza el método del lugar de las raíces para sintonizar el PID en el control de la posición angular. Las simulaciones y el control se realizan desde Simulink de MATLAB®, en lo cual se usa además una tarjeta de adquisición de datos, la PCI 6024E. Al final del documento se analizan los resultados y se observa que si bien el controlador PID tiene el mejor comportamiento, el del controlador difuso es comparable. Abstract in english The performance of PID and fuzzy controllers is compared in a commercial device normally used in model airplanes: the S3004 Futaba Servo. The controller circuit, the power amplifier and the sensor are modified, and then the motor is observed. Next, a root-locus method is used to tune a PID for angul [...] ar position control. Simulations and control are made in Matlab's Simulink, and also a data acquisition card (PCI 6024E) is used. Results are analyzed at the end of the document: although the PID controller works better, the fuzzy controller shows a similar performance.
Fuzzy PID Controllers Using FPGA Technique for Real Time DC Motor Speed Control
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Basil Hamed Hamed
2011-08-01
Full Text Available The design of intelligent control systems has become an area of intense research interest. The development of an effective methodology for the design of such control systems undoubtedly requires the synthesis of many concepts from artificial intelligence. The most commonly used controller in the industry field is the proportional-plus-integral-plus-derivative (PID controller. Fuzzy logic controller (FLC provides an alternative to PID controller, especially when the available system models are inexact or unavailable. Also rapid advances in digital technologies have given designers the option of implementing controllers using Field Programmable Gate Array (FPGA which depends on parallel programming. This method has many advantages over classical microprocessors. In this research, A model of the fuzzy PID control system is implemented in real time with a Xilinx FPGA (Spartan-3A, Xilinx Company, 2007. It is introduced to maintain a constant speed to when the load varies.,The model of a DC motor is considered as a second order system with load variation as a an example for complex model systems. For comparison purpose, two widely used controllers “PID and Fuzzy” have been implemented in the same FPGA card to examine the performance of the proposed system. These controllers have been tested using Matlab/Simulink program under speed and load variation conditions. The controllers were implemented to run the motor as real time application under speed and load variation conditions and showed the superiority of Fuzzy-PID.
Self tuning fuzzy PID type load and frequency controller
International Nuclear Information System (INIS)
In this paper, a self tuning fuzzy PID type controller is proposed for solving the load frequency control (LFC) problem. The fuzzy PID type controller is constructed as a set of control rules, and the control signal is directly deduced from the knowledge base and the fuzzy inference. Moreover, there exists a self tuning mechanism that adjusts the input scaling factor corresponding to the derivative coefficient and the output scaling factor corresponding to the integral coefficient of the PID type fuzzy logic controller in an on-line manner. The self tuning mechanism depends on the peak observer idea, and this idea is modified and adapted to the LFC problem. A two area interconnected system is assumed for demonstrations. The proposed self tuning fuzzy PID type controller has been compared with the fuzzy PID type controller without a self tuning mechanism and the conventional integral controller through some performance indices
Soft Real-Time PID Control on a VME Computer
Karayan, Vahag; Sander, Stanley; Cageao, Richard
2007-01-01
microPID (uPID) is a computer program for real-time proportional + integral + derivative (PID) control of a translation stage in a Fourier-transform ultraviolet spectrometer. microPID implements a PID control loop over a position profile at sampling rate of 8 kHz (sampling period 125microseconds). The software runs in a strippeddown Linux operating system on a VersaModule Eurocard (VME) computer operating in real-time priority queue using an embedded controller, a 16-bit digital-to-analog converter (D/A) board, and a laser-positioning board (LPB). microPID consists of three main parts: (1) VME device-driver routines, (2) software that administers a custom protocol for serial communication with a control computer, and (3) a loop section that obtains the current position from an LPB-driver routine, calculates the ideal position from the profile, and calculates a new voltage command by use of an embedded PID routine all within each sampling period. The voltage command is sent to the D/A board to control the stage. microPID uses special kernel headers to obtain microsecond timing resolution. Inasmuch as microPID implements a single-threaded process and all other processes are disabled, the Linux operating system acts as a soft real-time system.
Research on digital PID control algorithm for HPCT
International Nuclear Information System (INIS)
Digital PID applied in high-precision HPCT (High-precision current transducer) based on Digital Signal Processor (DSP) TMS320F2812 and special D/A converter was researched. By using increment style PID Control algorithm, the stability and precision of high-precision HPCT output voltage is improved. On basis of deeply analysing incremental digital PID, the scheme model of HPCT is proposed, the feasibility simulation using Matlab is given. Practical hardware circuit verified the incremental PID has closed-loop control process in tracking HPCT output voltage. (authors)
Energy Technology Data Exchange (ETDEWEB)
Jacob, D. [Institut Universitaire de Technologie, 86 - Poitiers (France)
2004-09-15
The proportional integral derived function (PID) control is certainly not the most efficient but it is the most widely control used in regulation systems. The implementation of a PID regulator does not offer all adjustment possibilities of modern methods and it is in general impossible to make open-loop tests to identify the regulated system. This paper presents two concrete applications of PID control systems: one for a temperature regulation and the other for the servo-control of a mechanical system driven by a brush-less motor. The adjustment is performed using the classical momentum and frequency methods: 1 - PID control; 2 - efficiencies obtained in close loop configuration; 3 - principle of the experimental adjustment method of PID systems; 4 - experimental identification in close-loop configuration; 5 - calculation principle of a PID corrector; 6 - PID control for a class 0 system; 7 - calculation of a PID corrector for a class 1 system; 8 - PID position regulation of a brush-less motor; 9 - remarks about the numerical calculation of the control; 10 - summary of the models presented. (J.S.)
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Benxian Xiao
2014-06-01
Full Text Available Proposed the PID controller parameters tuning method based-on New Luus-Jaakola (NLJ algorithm and satisfaction idea. According to the different requirements of each performance index, designed the satisfaction function with fuzzy constraint attributes, and then determined the comprehensive satisfaction function for PID tuning by NLJ algorithm. Provided the steps of PID controller parameters tuning based on the NLJ algorithm and satisfaction, and applied this tuning method to the cascade control system of superheated steam temperature for Power Station Boiler. Finally the simulation and experiment results have shown the proposed method has good dynamic and static control performances for this complicated superheated steam temperature control system.
R. Arulmurugan; N. Suthanthira Vanitha
2013-01-01
This paper proposes a new dc to dc boost converter using closed loop control proportional Integral and Derivative mechanism for photovoltaic (PV) standalone high voltage applications. The boost converter is composed of MOSFETs which are driven by closed loop PWM control. Many advantages including high efficiency, minimum number of switch, high voltage and power, low cost. This converter is attractive for high voltage and high power applications. The analysis and design considerations of the c...
Arulmurugan, R.; Suthanthira Vanitha, N.
2012-01-01
This paper proposes a new dc to dc boost converter using closed loop control proportional Integral and Derivative mechanism for photovoltaic (PV) standalone high voltage applications. The boost converter is composed of MOSFETs which are driven by closed loop PWM control. Many advantages including high efficiency, minimum number of switch, high voltage and power, low cost. This converter is attractive for high voltage and high power applications. The analysis and design considerations of the c...
Application of PEM Fuel Cell for Stand-alone Based on an Fuzzy PID Control
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S.M. Rakhtala
2015-09-01
Full Text Available Fuel cell (FC systems are appropriate candidates as alternative energy sources for use in stand-alone applications. Due to the typical power profile of a stand-alone consisting of transients is not suitable for the use of a sole FC system. This paper presents the control of the fuel cell for stand-alone application based on fuzzy PID (FPID controller. The aim of the paper is to achieve the control of the fuel cell for stand-alone by designing a suitable power conditioning unit that consists of the two stages of DC/DC converter and DC/AC inverter. A PID controller to be used for the voltage control of the designed boost converter is proposed and compared with a classical PID controller for performance validation. Furthermore, an analysis of double loop fuzzy PID controller for a single phase inverter is done.
Predictive PID Control Based on GPC Control of Inverted Pendulum
Safa Bouhajar; Nahla Khraief; Elyes Maherzi; Mongi Besbes; Safya Belghith
2014-01-01
Having regard to the large application of the inverted pendulum in robotic system, this study is interested in controlling this process with two strategies of controls. The first proposed control is the state feedback with an observer based on the Generalized Predictive Control (GPC) algorithm. In the second proposed control we used the characteristic of predictive control GPC to improve the performance of the classical PID controller. The obtained results have been discussed and compared; th...
HIERARCHICAL FUZZY PID CONTROLLER USING GRANULAR COMPUTING FOR INVERTED PENDULUM
Pottem Sai Tharun, M. J. Nigam
2013-01-01
The inverted pendulum (IP) is among the most difficult systems to control in the field of control engineering. The process is non linear and unstable. The objective of this paper is to balance the pendulum vertically on a motor driven wagon by the use of hierarchical fuzzy PID controller. The hierarchical fuzzy PID controller divides the control system into multiple granular levels and adopts different control strategies in different granularities. We use different fuzzy controls forcoarse ad...
Gaojian Li
2013-01-01
The study designs PID mathematical model and algorithm of the central air conditioning temperature control based on genetic algorithm. In order to test availability of the procedure and algorithm, we use the MATLAB software to do numerical simulation on different algorithms. Through calculation we found that delay time of the PID controller based on genetic algorithm designed in this paper is 92 seconds, less than the other two algorithms. The time which ne...
Interval type-2 fuzzy PID controller for uncertain nonlinear inverted pendulum system.
El-Bardini, Mohammad; El-Nagar, Ahmad M
2014-05-01
In this paper, the interval type-2 fuzzy proportional-integral-derivative controller (IT2F-PID) is proposed for controlling an inverted pendulum on a cart system with an uncertain model. The proposed controller is designed using a new method of type-reduction that we have proposed, which is called the simplified type-reduction method. The proposed IT2F-PID controller is able to handle the effect of structure uncertainties due to the structure of the interval type-2 fuzzy logic system (IT2-FLS). The results of the proposed IT2F-PID controller using a new method of type-reduction are compared with the other proposed IT2F-PID controller using the uncertainty bound method and the type-1 fuzzy PID controller (T1F-PID). The simulation and practical results show that the performance of the proposed controller is significantly improved compared with the T1F-PID controller. PMID:24661774
Optimization of PID Parameter In Control System Tuning With Multi-Objective Genetic Algorithm.
Md Amanullah; Pratibha Tiwari,
2014-01-01
Way of playing advancement is the out-standing design of the study of PID control and frequently research work has been guided for this aspiration. The Proportional plus Integral plus Derivative (PID), controllers are most sweepingly used in control theory as well as industrial plants owing to their ease of execution and sturdiness way of playing. The aspiration of this deed representation capable and apace tuning approach using Genetic Algorithm (GA) to obtain the optimized c...
The Advantages of PID Fuzzy Controllers Over The Conventional Types
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Abdullah I. Al-Odienat
2008-01-01
Full Text Available Fuzzy logic controllers (FLC's have the following advantages over the conventional controllers: they are cheaper to develop, they cover a wider range of operating conditions, and they are more readily customizable in natural language terms. A self-organizing fuzzy controller can automatically refine an initial approximate set of fuzzy rules. Application of PI-type fuzzy controller increases the quality factor. In this paper, the voltage raising type-pulse controller is considered. Two types of fuzzy controllers used for the control of boost converter are investigated; the simulation results confirm the above mentioned advantages. In order to prove the dynamic characteristics of the PID fuzzy controller being fast and robust, simulation studies using PSIM program are carried out and compared to the results of the conventional loop gain design method for which MATLAB program is used.
Poultry House Temperature Control Using Fuzzy-PID Controller
Aborisade David O; Oladipo Stephen
2014-01-01
Temperature control of poultry house within thermal neutral zone of poultry birds is essential in order to reduce their mortality and increase production. The most advanced method to control the highly complex and nonlinear behaviour of the poultry house temperature, is fuzzy logic. On the other hand, PID controllers are used in most of poultry house due to its functional and structural simplicity. This paper presents a method of controlling the poultry house temperature by the combined actio...
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R. Arulmurugan
2012-10-01
Full Text Available This paper proposes a new dc to dc boost converter using closed loop control proportional Integral and Derivative mechanism for photovoltaic (PV standalone high voltage applications. The boost converter is composed of MOSFETs which are driven by closed loop PWM control. Many advantages including high efficiency, minimum number of switch, high voltage and power, low cost. This converter is attractive for high voltage and high power applications. The analysis and design considerations of the converter are presented. A prototype was implemented for an application requiring a 410W output power, input voltage range from 17.1-V, and a 317-V output voltage. The proposed system efficiency is about 90%.
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R. Arulmurugan
2013-07-01
Full Text Available This paper proposes a new dc to dc boost converter using closed loop control proportional Integral and Derivative mechanism for photovoltaic (PV standalone high voltage applications. The boost converter is composed of MOSFETs which are driven by closed loop PWM control. Many advantages including high efficiency, minimum number of switch, high voltage and power, low cost. This converter is attractive for high voltage and high power applications. The analysis and design considerations of the converter are presented. A prototype was implemented for an application requiring a 410W output power, input voltage range from 17.1-V, and a 317-V output voltage. The proposed system efficiency is about 90%.
Energy Analysis of Pid Controlled Heat Pump Dryer
Ilhan CEYLAN
2009-01-01
In this experimental study, a heat pump dryer was designed and manufactured, in which drying air temperature was controlled PID. Manufactured heat pump dryer was tested in drying kiwi, avocado and banana from among tropical fruits and energy and exergy analyses were made. Drying air temperature changed between 40 oC - 40.2 oC while drying the tropical fruits. Before the drying process in heat pump dryer, initial moisture contents were determined as 4.31 g water / g dry matter for kiwi, 1.51 g...
Application of a Pid+fuzzy controller on the motion control system in machine tools
Lacerda, H. B.; Belo, E. M.
1999-01-01
This work deals with an hybrid PID+fuzzy logic controller applied to control the machine tool biaxial table motions. The non-linear model includes backlash and the axis elasticity. Two PID controllers do the primary table control. A third PID+fuzzy controller has a cross coupled structure whose function is to minimise the trajectory contour errors. Once with the three PID controllers tuned, the system is simulated with and without the third controller. The responses results are plotted and co...
PID control for chaotic synchronization using particle swarm optimization
International Nuclear Information System (INIS)
In this paper, we attempt to use the proportional-integral-derivative (PID) controller to achieve the chaos synchronization for delayed discrete chaotic systems. Three PID control gains can be optimally determined by means of using a novel optimization algorithm, called the particle swarm optimization (PSO). The algorithm is motivated from the organism behavior of fish schooling and bird flocking, and involves the social psychology principles in socio-cognition human agents and evolutionary computations. It has a good numerical convergence for solving optimization problem. To show the validity of the PSO-based PID control for chaos synchronization, several cases with different initial populations are considered and some simulation results are shown.
Control of a Quadrotor Using a Smart Self-Tuning Fuzzy PID Controller
Deepak Gautam; Cheolkeun Ha
2013-01-01
This paper deals with the modelling, simulation-based controller design and path planning of a four rotor helicopter known as a quadrotor. All the drags, aerodynamic, coriolis and gyroscopic effect are neglected. A Newton-Euler formulation is used to derive the mathematical model. A smart self-tuning fuzzy PID controller based on an EKF algorithm is proposed for the attitude and position control of the quadrotor. The PID gains are tuned using a self-tuning fuzzy algorithm. The self-tuning of ...
Speed Control of DC Motor Using Extended Kalman FilterBased Fuzzy PID
Meysam Shadkam; Hamed Mojallali; Yaser Bostani
2013-01-01
In this paper, extended Kalman filter (EKF) isused for online optimization of input and output membershipfunctions (MFs) of Mamdani fuzzy PID controller. Theproposed controller is employed for controlling the separatelyexcited DC motor. The simulation results show that the fuzzyPID controller with online optimization has better efficiencythan classic PID controller and fuzzy PID controller with fixedmembership functions.
PID feedback control of monochromator thermal stabilization
International Nuclear Information System (INIS)
The desire for increasingly smaller X-ray beams for macromolecular crystallography experiments also stimulates the need for improvements in beam stability. There are numerous sources of instability, which influence beam quality on the micron-size scale. Typically, the most problematic source is thermal drift within the double crystal monochromators. In addition to using liquid nitrogen to indirectly cool both the first and second crystals, GM/CA-CAT previously used a combination of flowing water at constant temperature and copper braiding to stabilize the mechanics, mounts, and the Compton scatter shielding. However, the copper braids inefficiently stabilized the temperature of components that were distant from the water lines. Additionally, vibrations in the water lines propagated throughout the vibrationally dampened monochromator, thereby introducing both positional and intensity instabilities in the transmitted X-ray beam. To address these problems, heating pads were placed directly onto the temperature-sensitive components, with output controlled by a PID-feedback loop. As a result, there is negligible temperature change in the first crystal radiation shielding over the entire range of operational heat loads. Additionally, the angular drift in the second crystal induced by temperature changes in other components is dramatically decreased.
Variable Structure PID Control to Prevent Integrator Windup
Hall, C. E.; Hodel, A. S.; Hung, J. Y.
1999-01-01
PID controllers are frequently used to control systems requiring zero steady-state error while maintaining requirements for settling time and robustness (gain/phase margins). PID controllers suffer significant loss of performance due to short-term integrator wind-up when used in systems with actuator saturation. We examine several existing and proposed methods for the prevention of integrator wind-up in both continuous and discrete time implementations.
A new adaptive configuration of PID type fuzzy logic controller.
Fereidouni, Alireza; Masoum, Mohammad A S; Moghbel, Moayed
2015-05-01
In this paper, an adaptive configuration for PID type fuzzy logic controller (FLC) is proposed to improve the performances of both conventional PID (C-PID) controller and conventional PID type FLC (C-PID-FLC). The proposed configuration is called adaptive because its output scaling factors (SFs) are dynamically tuned while the controller is functioning. The initial values of SFs are calculated based on its well-tuned counterpart while the proceeding values are generated using a proposed stochastic hybrid bacterial foraging particle swarm optimization (h-BF-PSO) algorithm. The performance of the proposed configuration is evaluated through extensive simulations for different operating conditions (changes in reference, load disturbance and noise signals). The results reveal that the proposed scheme performs significantly better over the C-PID controller and the C-PID-FLC in terms of several performance indices (integral absolute error (IAE), integral-of-time-multiplied absolute error (ITAE) and integral-of-time-multiplied squared error (ITSE)), overshoot and settling time for plants with and without dead time. PMID:25530256
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A.Selwin Mich Priyadharson
2012-02-01
Full Text Available The main objective of the combustion controller in a thermal power plant is to regulate fuel and air in proper ratio to maintain the desired steam pressure at the turbine inlet, irrespective of the changes in steam demand. To achieve a continuous supply of steam at the desired pressure conditions is difficult to cope with inherenttime delay, nonlinearity due to uncertainty of the combustion process and frequent load changes. This paper deals with the design of behavior response computation based approach to get the optimal PID controller parameters for the combustion control of utility boiler. A separate control model is developed for Fuel and Air system. The control model for fuel will drive the Fuel controller which is cascaded with Air controller. PID controller for Air and Fuelsystem will use the optimum PID parameter derived from response based computation method. Many steady state and dynamic behavioral responses were analyzed for different load conditions. A lab scale experimental setup is fabricated in the laboratory for fuel and air control and tests were carried out for several load conditions. Optimal PID controller parameters were obtained when the experimental responses have good agreement with the real time behavior responses. The advantages of the proposed design are highlighted.
Nonlinear process control using adaptive predictive PID controller
International Nuclear Information System (INIS)
An adaptive PID control algorithm based on a neural network based predictor is presented to control nonlinear processes with time-delay. The architecture of a feed forward neural network based d-step predictor is given. In order to speed up the training of the neural network, a recursive least squares fast training algorithm is applied to on-line neural model identification. Simulation shows the presented method is effective for compensation of time-delay
FPGA Realization of PID Controller Based on BP Neural Network
Shanyong Xu; Yourui Huang; Liguo Qu; Chaoli Tang
2013-01-01
Through coordinately work of input layer module, hidden layer module, output layer module and back propagation calculation module to complete the whole system of the closed-loop calculation, this is a process of FPGA realization of PID controller based on BP neural network. Operation of the entire system with FPGA internal clock coordination is unified coordination, just provide clock and reset signals can automatically tune parameters of PID controller.
CONTROL OF CONCENTRATION IN CSTR USING DMC AND CONVENTIONAL PID BASED ON RELAY FEEDBACK METHOD
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S. SRINIVASULU RAJU
2013-04-01
Full Text Available This paper presents the design of a Dynamic Matrix Controller (DMC is analyzed for concentration control of Continuous Stirred Tank Reactors (CSTRs which have strong nonlinearities. Various control approaches have been applied on CSTR to control its parameters. All the industrial process applications require solutions of a specific chemical strength of the chemicals or fluids considered for analysis. Such specific concentrations are achieved by mixing a full strength solution with water in the desired proportions. For this, we use twocontrollers DMC and PID and analyzed. The basic PID controllers have difficulty in dealing with complex nonlinear processes. Simulation studies give satisfactory results. In this paper the control the concentration of one chemical with the help of other has been analyzed. Model design and simulation are done in MATLAB/SIMULINK, using programming. The concentration control is found better controlled with the addition of DMC instead of PID controller solely.
SIMULATION AND IMPLEMENTATION OF PID-ANN CONTROLLER FOR CHOPPER FED EMBEDDED PMDC MOTOR
Madheswaran, M.; Muruganandam, M.
2012-01-01
The closed loop control of PMDC drive with an inner current controller and an outer PID-ANN (Proportional Integral Derivative – Artificial Neural Network) based speed controller is designed and presented in this paper. Motor is fed by DC / DC buck converter (DC Chopper). The controller is used to change the duty cycle of the converter and thereby, the voltage fed to the PMDC motor to regulate the speed. The PID-ANN controller designed was evaluated by computer simulation and it was implemen...
SIMULATION AND IMPLEMENTATION OF PID-ANN CONTROLLER FOR CHOPPER FED EMBEDDED PMDC MOTOR
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M. Madheswaran
2012-04-01
Full Text Available The closed loop control of PMDC drive with an inner current controller and an outer PID-ANN (Proportional Integral Derivative – Artificial Neural Network based speed controller is designed and presented in this paper. Motor is fed by DC / DC buck converter (DC Chopper. The controller is used to change the duty cycle of the converter and thereby, the voltage fed to the PMDC motor to regulate the speed. The PID-ANN controller designed was evaluated by computer simulation and it was implemented using an 8051 based embedded system. This system will operate in forward motoring with variable speed.
Tuning method for multi-variable control system with PID controllers
International Nuclear Information System (INIS)
Control systems, including thermal and nuclear power plants, generally and mainly use PID controllers consisting of proportional, integral and differential actions. These systems consist of multiple control loops which interfere with each other. Therefore, it is present status that the fine control of the system is carried out by the trial and error method because the adjusting procedure for a single control loop cannot be applied to a multi-loop system in most cases. In this report, a method to effectively adjust PID controller parameters in a short time in a control system which consists of multi-loops that interfere with each other. This method makes adjustment by using the control area as the evaluation function, which is the time-dependent integration of control deviation, the input to the PID controllers. In other words, the evaluation function is provided for each control result for every parameter (gain constant, reset rate, and differentiation time), and all parameters are simultaneously changed in the direction of minimizing the values of these evaluation functions. In the report, the principle of tuning method, the evaluation function for each of three parameters, and the adjusting system configuration for separately using for actual plant tuning and for control system design are described. It also shows the examples of application to the actual tuning of the control system for a thermal power plant and to a control system design. (Wakatsuki, Y.) system design. (Wakatsuki, Y.)
Meti?n, Muzaffer; Gu?c?lu?, Rahmi
2011-01-01
In this study, a conventional PID type fuzzy controller and parameter adaptive fuzzy controller are designed to control vibrations actively of a light rail transport vehicle which modeled as 6 degree-of-freedom system and compared performances of these two controllers. Rail vehicle model consists of a passenger seat and its suspension system, vehicle body, bogie, primary and secondary suspensions and wheels. The similarity between mathematical model and real system is shown by compar...
Comparison of PID Controller Tuning Methods with Genetic Algorithm for FOPTD System
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K. Mohamed Hussain
2014-02-01
Full Text Available Measurement of Level, Temperature, Pressure and Flow parameters are very vital in all process industries. A combination of a few transducers with a controller, that forms a closed loop system leads to a stable and effective process. This article deals with control of in the process tank and comparative analysis of various PID control techniques and Genetic Algorithm (GA technique. The model for such a Real-time process is identified as First Order Plus Dead Time (FOPTD process and validated. The need for improved performance of the process has led to the development of model based controllers. Well-designed conventional Proportional, Integral and Derivative (PID controllers are the most widely used controller in the chemical process industries because of their simplicity, robustness and successful practical applications. Many tuning methods have been proposed for PID controllers. Many tuning methods have been proposed for obtaining better PID controller parameter settings. The comparison of various tuning methods for First Order Plus Dead Time (FOPTD process are analysed using simulation software. Our purpose in this study is comparison of these tuning methods for single input single output (SISO systems using computer simulation.Also efficiency of various PID controller are investigated for different performance metrics such as Integral Square Error (ISE, Integral Absolute Error (IAE, Integral Time absolute Error (ITAE, and Mean square Error (MSE is presented and simulation is carried out. Work in this paper explores basic concepts, mathematics, and design aspect of PID controller. Comparison between the PID controller and Genetic Algorithm (GA will have been carried out to determine the best controller for the temperature system.
Comparison of Controller Performance of Fuzzy with PID for a Level Control of Conical Tank System
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A.Srividya
2013-05-01
Full Text Available This paper attempts to design the controllers like Adaptive PI, Fuzzy Logic Control (FLC for the conical tank (Non-linear Process to maintain the liquid level in tank. The level control becomes quite typical due to the nonlinear shape of tank i.e. the rate of rise of water in the narrow part is high and gets reduced as height increases thus causing non-linearity in the level. The time constant and gain vary as a function of level. Proportional-integral-derivative (PID controllers are widely used in many industrial control systems for several decades. Fuzzy logic is one of the most successful applications of fuzzy set in which the variables are linguistic rather than numeric. The design of intelligent control systems has become an area of intense research interest. The development of an effective methodology for the design of such control systems undoubtedly requires the synthesis of many concepts from artificial intelligence. The most commonly used controller in the industry field is the proportional-plus-integral-plus-derivative (PID controller. Fuzzy logic controller (FLC provides an alternative to PID controller, especially when the available system models are inexact or unavailable. A fuzzy logic controller (FLC is based on a set of control rules (fuzzy rules among linguistic variables.
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Ankit Rastogi,
2013-05-01
Full Text Available PID controller is the most widely used controller in industry for control applications due to its simple structure and easy parameter adjusting.But increase in complexity of control systems has introduced many modified PID controllers.The recent advancement in fractional order calculus has introduced fractional order PID controller and it has recieved a great attention for researchers.Fractional order PID (FOPID controller is an advancement of conventional PID controller in which the derivative and integral order are fractional rather than integer.Apart from the usual tuning parameters of PID, it has two more parameters ? (integer order and ? (derivative order which are in fractions.This increases the flexiblity and robustness of the system and gives a better performance than classical PID controller. In this research paper, FOPID has been applied to DC motor for speed control and optimal values of ? and ? has been obtained using particle swarm optimization technique.
A normalized PID controller in networked control systems with varying time delays.
Tran, Hoang-Dung; Guan, Zhi-Hong; Dang, Xuan-Kien; Cheng, Xin-Ming; Yuan, Fu-Shun
2013-09-01
It requires not only simplicity and flexibility but also high specified stability and robustness of system to design a PI/PID controller in such complicated networked control systems (NCSs) with delays. By gain and phase margins approach, this paper proposes a novel normalized PI/PID controller for NCSs based on analyzing the stability and robustness of system under the effect of network-induced delays. Specifically, We take into account the total measured network delays to formulate the gain and phase margins of the closed-loop system in the form of a set of equations. With pre-specified values of gain and phase margins, this set of equations is then solved for calculating the closed forms of control parameters which enable us to propose the normalized PI/PID controller simultaneously satisfying the following two requirements: (1) simplicity without re-solving the optimization problem for a new process, (2) high flexibility to cope with large scale of random delays and deal with many different processes in different conditions of network. Furthermore, in our method, the upper bound of random delay can be estimated to indicate the operating domain of proposed PI/PID controller. Finally, simulation results are shown to demonstrate the advantages of our proposed controller in many situations of network-induced delays. PMID:23810432
Study of Immune PID Networked Control System Based on TrueTime
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Daogang Peng
2011-06-01
Full Text Available Networked control system has been a hotspot in the research fields of control theory and control engineering applications at home and abroad. Immune PID controller based on biological immune mechanism has simple structure and algorithms, and with the features of strong robustness and adaptability. The structure of networked control system based on immune PID controller had been designed in this paper, taking the typical one-order inertia plant with time delay and second-order inertia plant in the process of industrial production for example, the simulation model of immune PID networked control system based on TrueTime toolbox had built in the MATLAB environment, and simulation studies have shown the feasibility and effectiveness of the control scheme.
Particle Swarm Optimization Based Fuzzy-Neural Like PID Controller for TCP/AQM Router
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Shahad A. Sadeq
2012-02-01
Full Text Available In this paper a PID Fuzzy-Neural controller (FNC is designed as an Active Queue Management (AQM in internet routers to improve the performance of Fuzzy Proportional Integral (FPI controller for congestion avoidance in computer networks. A combination of fuzzy logic and neural network can generate a fuzzy neural controller which in association with a neural network emulator can improve the output response of the controlled system. This combination uses the neural network training ability to adjust the membership functions of a PID like fuzzy neural controller. The goal of the controller is to force the controlled system to follow a reference model with required transient specifications of minimum overshoot, minimum rise time and minimum steady state error. The fuzzy membership functions were tuned using the propagated error between the plant outputs and the desired ones. To propagate the error from the plant outputs to the controller, a neural network is used as a channel to the error. This neural network uses the back propagation algorithm as a learning technique. Firstly the parameters of PID of Fuzzy-Neural controller are selected by trial and error method, but to get the best controller parameters the Particle Swarm Optimization (PSO is used as an optimization method for tuning the PID parameters. From the obtained results, it is noted that the PID Fuzzy-Neural controller provides good tracking performance under different circumstances for congestion avoidance in computer networks.
Comparison of PID and Fuzzy Controlled DC to DC Converter with Inductor Resistance.
Anand, R; P.Melba Mary
2013-01-01
The DC-DC boost converter reveals highly non-linear and non-minimum phase properties, is very difficult task to design a controller that is healthy against load variation. For this purpose a Fuzzy PID Controller is proposed to control DC-DC boost converter which has a practical inductor and a series resistance. A balancing ProportionalIntegral-Differential (PID) controller to the parallel-damped passivity-based controller PD-PBC is also proposed for removing the steady state error even though...
Comparison of PID and Fuzzy Controlled DC to DC Converter with Inductor Resistance.
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R.Anand
2013-08-01
Full Text Available The DC-DC boost converter reveals highly non-linear and non-minimum phase properties, is very difficult task to design a controller that is healthy against load variation. For this purpose a Fuzzy PID Controller is proposed to control DC-DC boost converter which has a practical inductor and a series resistance. A balancing ProportionalIntegral-Differential (PID controller to the parallel-damped passivity-based controller PD-PBC is also proposed for removing the steady state error even though the parasitic resistance. MATLAB simulations are performed under step changes and load perturbations to measure the improvement in performance of the proposed approach.
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Naeim Farouk
2012-11-01
Full Text Available The degree of speed control of ship machinery effects on the economics and optimization of the machinery configuration and operation. All marine vessel ranging need some sort of speed control system to control and govern the speed of the marine diesel engines. The main focus of this study is to apply and comparative between two specific soft-computing techniques. Fuzzy logic controller and genetic algorithm to design and tuning of PID controller for applied on speed control system of marine diesel engine to get an output with better dynamic and static performance. Simulation results show that the response of system when using genetic algorithm is better and faster than when using fuzzy tuning PID controller.
Patents, software and hardware for PID control: an overview and analysis of the current art
Li, Y.; Ang, K. H.; Chong, G. C. Y.
2006-01-01
Proportional-integral-derivative (PID) control provides simplicity, clear functionality, and ease of use. Since the invention of PID control in 1910 (largely owing to Elmer Sperry’s ship autopilot) and the straightforward Ziegler-Nichol (Z-N) tuning rule in 1942, the popularity of PID has grown tremendously. Today, PID is used in more than 90% of practical control systems, ranging from consumer electronics to industrial processes. The wide application of PID has stimulated and sustained th...
Stability Control of an Autonomous Quadcopter through PID Control Law
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Nicolas Ives Roque Pacheco
2015-05-01
Full Text Available In the recent years the world has seen a astonishing ascendance of non tripulated vehicles, and among these is the quadrotors aircrafts or quadcopters. These types of aircraft have been of particular interest due to its easy maneuverability in closed and open spaces and somewhat simplified dynamics. In these paper is presented an first attempt in the built model, to control the 4 DOF(Degrees of freedom of an soon to be autonomous quadcopter through PID law in an controlled environment.
Temperature Control System of Screw Air Compressor Based on Fuzzy PID Control Theory
Mingbo Lv; Wanqiang Lin; Sheng Gao; Janglong Fang
2011-01-01
In order to improve the inaccuracy of the traditional screw compressor PID controller parameters when initial set. To improve the speed and accuracy, raises a theory of determination on the PID controller based on fuzzy control theory and the first method of Ziegle•Nichols, applied to determine the initial value of PID controller. And the theory is applied on new controller. Then the PI D controller parameters are obtained which can meet the control requirements. The validity and reliabilit...
DEFF Research Database (Denmark)
Yang, Zhenyu; Pedersen, Gerulf K.m.
2006-01-01
The automatic PID control design for a onedimensional magnetic levitation system is investigated. The PID controller is automatically tuned using the non-dominated sorting genetic algorithm (NSGA-II) based on a nonlinear system model. The developed controller is digitally implemented and tested. The preliminary simulation and test results show a bright potential to use artificial intelligence methods for supporting the control design for complicated nonlinear and open-loop unstable systems.
PID controller tuning using the magnitude optimum criterion
Papadopoulos, Konstantinos
2014-01-01
An instructive reference that will help control researchers and engineers, interested in a variety of industrial processes, to take advantage of a powerful tuning method for the ever-popular PID control paradigm. This monograph presents explicit PID tuning rules for linear control loops regardless of process complexity. It shows the reader how such loops achieve zero steady-position, velocity, and acceleration errors and are thus able to track fast reference signals. The theoretical development takes place in the frequency domain by introducing a general-transfer-function-known process model
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Gaojian Li
2013-01-01
Full Text Available The study designs PID mathematical model and algorithm of the central air conditioning temperature control based on genetic algorithm. In order to test availability of the procedure and algorithm, we use the MATLAB software to do numerical simulation on different algorithms. Through calculation we found that delay time of the PID controller based on genetic algorithm designed in this paper is 92 seconds, less than the other two algorithms. The time which needs to adjust is 302 seconds, less than the other two algorithms. The overshoot is 25% which meets the needs of central air conditioning temperature control system. Finally, through the graphics computing functions of MATLAB we get two-dimensional section images of central air conditioning refrigeration effect. From the image we can see the central air conditioning refrigeration effect of PID algorithm based on genetic algorithm is good. It provides the theoretical reference for the study of air conditioning control system.
Development of a GA-Fuzzy-Immune PID Controller with Incomplete Derivation for Robot Dexterous Hand
Xin-hua Liu; Xiao-hu Chen; Xian-hua Zheng; Sheng-peng Li; Zhong-bin Wang
2014-01-01
In order to improve the performance of robot dexterous hand, a controller based on GA-fuzzy-immune PID was designed. The control system of a robot dexterous hand and mathematical model of an index finger were presented. Moreover, immune mechanism was applied to the controller design and an improved approach through integration of GA and fuzzy inference was proposed to realize parameters' optimization. Finally, a simulation example was provided and the designed controller was proved ideal.
Development of a GA-fuzzy-immune PID controller with incomplete derivation for robot dexterous hand.
Liu, Xin-hua; Chen, Xiao-hu; Zheng, Xian-hua; Li, Sheng-peng; Wang, Zhong-bin
2014-01-01
In order to improve the performance of robot dexterous hand, a controller based on GA-fuzzy-immune PID was designed. The control system of a robot dexterous hand and mathematical model of an index finger were presented. Moreover, immune mechanism was applied to the controller design and an improved approach through integration of GA and fuzzy inference was proposed to realize parameters' optimization. Finally, a simulation example was provided and the designed controller was proved ideal. PMID:25097881
Vibration Control of Bus Suspension System using PI and PID Controller
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Swati Gaur
2013-07-01
Full Text Available This paper presents the application of PI and PIDcontroller to control the vibration occurred in the bus suspensionsystem. When the suspension system is designed, a ¼ model ofbus is used to simplify the problem to a one dimensional massspring-damper system. Its open-loop performance on the basis oftime response is observed which depicts that the bus suspensionhas oscillations with large settling time. To overcome thisproblem, closed-loop system is used. Despite continuousadvancement in control theory, Proportional –Integral (PI andProportional-Integral-Derivative (PID Controllers are thepopular technique to control any process. In this paper,Proportional-Integral (PI and Proportional-Integral-Derivative(PID controllers are used to control the vibrations to givesmooth response of the bus suspension system and carry-out their comparison on the basis of time and frequency using Matlab environment. The simulation and implementation of thecontroller is done using MATLAB/SIMULINK.
Simulation and Tuning of PID Controllers using Evolutionary Algorithms
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K.R.S. Narayanan
2012-10-01
Full Text Available The Proportional Integral Derivative (PID controller is the most widely used control strategy in the Industry. The popularity of PID controllers can be attributed to their robust performance in a wide range of operating conditions and partly to their functional simplicity. The process of setting of PID controller can be determined as an optimization task. Over the years, use of intelligent strategies for tuning of these controllers has been growing. Biologically inspired evolutionary strategies have gained importance over other strategies because of their consistent performance over wide range of process models and their flexibility. The level control systems on Deaerator, Feed Water Heaters, and Condenser Hot well are critical to the proper operation of the units in Nuclear Power plants. For Precise control of level, available tuning technologies based on conventional optimization methods are found to be inadequate as these conventional methods are having limitations. To overcome the limitations, alternate tuning techniques based on Genetic Algorithm are emerging. This paper analyses the manual tuning techniques and compares the same with Genetic Algorithm tuning methods for tuning PID controllers for level control system and testing of the quality of process control in the simulation environment of PFBR Operator Training Simulator(OTS.
Split PID control: two sensors can be better than one
Znaimer, Leith
2014-01-01
The traditional proportional-integral-derivative (PID) algorithm for regulation suffers from a tradeoff: placing the sensor near the sample being regulated ensures that its steady-state temperature matches the desired setpoint. However, the propagation delay (lag) between heater and sample can limit the control bandwidth. Moving the sensor closer to the heater reduces the lag and increases the bandwidth but introduces offsets and drifts into the temperature of the sample. Here, we explore the consequences of using two probes---one near the heater, one near the sample---and assigning the integral term to the sample probe and the other terms to the heater probe. The \\textit{split-PID} algorithm can outperform PID control loops based on one sensor.
Automatic Generation Control of Multi Area Power System Using PID Controller
Reena Kumari, Ram Avtar
2013-01-01
This paper presents an Automatic Generation Control scheme for multi area power system using integrator and PID controller. The simulation results of four areas are compared using MATLAB/SIMULINK software. Automatic Generation Control is a very important process that operates constantly to balance the generation and load. PID controllers can be tuned by using many methods. In all methods an initial guess is made for PID controller parameter settings. Then these parameter settings are improved...
PID Neural Network Based Speed Control of Asynchronous Motor Using Programmable Logic Controller
Maraba, V. A.; Kuzucuoglu, A. E.
2011-01-01
This paper deals with the structure and characteristics of PID Neural Network controller for single input and single output systems. PID Neural Network is a new kind of controller that includes the advantages of artificial neural networks and classic PID controller. Functioning of this controller is based on the update of controller parameters according to the value extracted from system output pursuant to the rules of back propagation algorithm used in artificial neural networks. Paramet...
Heat control in HVDC resistive divider by PID and NN controllers
International Nuclear Information System (INIS)
In this study, a control system is presented that is devised to increase measurement precisions within a prototype high voltage DC resistive divider (HVDC-RD). Since one of the major sources of measurement errors in such devices is the self heating effect, a system controlling the temperature within the high voltage DC resistive divider is devised so that suitable and stable temperature conditions are maintained that, in return, will decrease the measurement errors. The resistive divider system is cooled by oil, and PID and neural network (NN) controllers try to keep the temperature within the prescribed limits. The system to be controlled exhibits a nonlinear character, and therefore, a control approach based on NN controllers is proposed. Thus, a system that can fulfill the various requirements dictated by the designer is constructed. The performance of the NN controller is compared with that of the PID controller developed for the same purpose, and the values of the performance indices indicate the superiority of the NN controller over that of the classical PID controller
Intelligent particle swarm optimized fuzzy PID controller for AVR system
Energy Technology Data Exchange (ETDEWEB)
Mukherjee, V. [Department of Electrical Engineering, Asansol Engineering College, Asansol, West Bengal (India); Ghoshal, S.P. [Department of Electrical Engineering, National Institute of Technology, Durgapur, West Bengal (India)
2007-10-15
In process plants like thermal power plants, biomedical instrumentation the popular use of proportional-integral-derivative (PID) controllers can be noted. Proper tuning of such controllers is obviously a prime priority as any other alternative situation will require a high degree of industrial expertise. So in order to get the best results of PID controllers the optimal tuning of PID gains is required. This paper, thus, deals with the determination of off-line, nominal, optimal PID gains of a PID controller of an automatic voltage regulator (AVR) for nominal system parameters and step reference voltage input. Craziness based particle swarm optimization (CRPSO) and binary coded genetic algorithm (GA) are the two props used to get the optimal PID gains. CRPSO proves to be more robust than GA in performing optimal transient performance even under various nominal operating conditions. Computational time required by CRPSO is lesser than that of GA. Factors that have influenced the enhancement of global searching ability of PSO are the incorporation of systematic and intelligent velocity, position updating procedure and introduction of craziness. This modified from of PSO is termed as CRPSO. For on-line off-nominal system parameters Sugeno fuzzy logic (SFL) is applied to get on-line terminal voltage response. The work of SFL is to extrapolate intelligently and linearly, the nominal optimal gains in order to determine off-nominal optimal gains. The on-line computational burden of SFL is noticeably low. Consequently, on-line optimized transient response of incremental change in terminal voltage is obtained. (author)
Comparative analysis of PSO algorithms for PID controller tuning
Štimac, Goranka; Braut, Sanjin; Žiguli?, Roberto
2014-09-01
The active magnetic bearing(AMB) suspends the rotating shaft and maintains it in levitated position by applying controlled electromagnetic forces on the rotor in radial and axial directions. Although the development of various control methods is rapid, PID control strategy is still the most widely used control strategy in many applications, including AMBs. In order to tune PID controller, a particle swarm optimization(PSO) method is applied. Therefore, a comparative analysis of particle swarm optimization(PSO) algorithms is carried out, where two PSO algorithms, namely (1) PSO with linearly decreasing inertia weight(LDW-PSO), and (2) PSO algorithm with constriction factor approach(CFA-PSO), are independently tested for different PID structures. The computer simulations are carried out with the aim of minimizing the objective function defined as the integral of time multiplied by the absolute value of error(ITAE). In order to validate the performance of the analyzed PSO algorithms, one-axis and two-axis radial rotor/active magnetic bearing systems are examined. The results show that PSO algorithms are effective and easily implemented methods, providing stable convergence and good computational efficiency of different PID structures for the rotor/AMB systems. Moreover, the PSO algorithms prove to be easily used for controller tuning in case of both SISO and MIMO system, which consider the system delay and the interference among the horizontal and vertical rotor axes.
International Nuclear Information System (INIS)
Nuclear reactors are in nature nonlinear systems and their parameters vary with time as a function of power level. These characteristics must be considered if large power variations occur in power plant operational regimes, such as in load-following conditions. A PWR reactor has a component called pressurizer, whose function is to supply the necessary high pressure for its operation and to contain pressure variations in the primary cooling system. The use of control systems capable of reducing fast variations of the operation variables and to maintain the stability of this system is of fundamental importance. The best-known controllers used in industrial control processes are proportional-integral-derivative (PID) controllers due to their simple structure and robust performance in a wide range of operating conditions. However, designing a fuzzy controller is seen to be a much less difficult task. Once a Fuzzy Logic controller is designed for a particular set of parameters of the nonlinear element, it yields satisfactory performance for a range of these parameters. The objective of this work is to develop fuzzy proportional-integral-derivative (fuzzy-PID) control strategies to control the level of water in the reactor. In the study of the pressurizer, several computer codes are used to simulate its dynamic behavior. At the fuzzy-PID control strategy, the fuzzy logic controller is exploited to extend the finite sets of PID gains to the possible combinations of PID gains in stable region. Thus the fuzzy logic controller tunes the gain of PID controller to adapt the model with changes in the water level of reactor. The simulation results showed a favorable performance with the use to fuzzy-PID controllers. (author)
Energy Technology Data Exchange (ETDEWEB)
Vasconcelos, Wagner Eustaquio de; Lira, Carlos Alberto Brayner de Oliveira; Brito, Thiago Souza Pereira de; Afonso, Antonio Claudio Marques, E-mail: wagner@unicap.br, E-mail: cabol@ufpe.br, E-mail: afonsofisica@gmail.com, E-mail: thiago.brito86@yahoo.com.br [Universidade Federal de Pernambuco (UFPE), Recife, PE (Brazil). Centro de Tecnologia e Geociencias. Departamento de Energia Nuclear; Cruz Filho, Antonio Jose da; Marques, Jose Antonio, E-mail: antonio.jscf@gmail.com, E-mail: jamarkss@uol.com.br [Universidade Catolica de Pernambuco (CCT/PUC-PE), Recife, PE (Brazil). Centro de Ciencias e Tecnologia; Teixeira, Marcello Goulart, E-mail: marcellogt@dcc.ufrj.br [Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ (Brazil). Instituto de Matematica. Dept. de Matematica
2013-07-01
Nuclear reactors are in nature nonlinear systems and their parameters vary with time as a function of power level. These characteristics must be considered if large power variations occur in power plant operational regimes, such as in load-following conditions. A PWR reactor has a component called pressurizer, whose function is to supply the necessary high pressure for its operation and to contain pressure variations in the primary cooling system. The use of control systems capable of reducing fast variations of the operation variables and to maintain the stability of this system is of fundamental importance. The best-known controllers used in industrial control processes are proportional-integral-derivative (PID) controllers due to their simple structure and robust performance in a wide range of operating conditions. However, designing a fuzzy controller is seen to be a much less difficult task. Once a Fuzzy Logic controller is designed for a particular set of parameters of the nonlinear element, it yields satisfactory performance for a range of these parameters. The objective of this work is to develop fuzzy proportional-integral-derivative (fuzzy-PID) control strategies to control the level of water in the reactor. In the study of the pressurizer, several computer codes are used to simulate its dynamic behavior. At the fuzzy-PID control strategy, the fuzzy logic controller is exploited to extend the finite sets of PID gains to the possible combinations of PID gains in stable region. Thus the fuzzy logic controller tunes the gain of PID controller to adapt the model with changes in the water level of reactor. The simulation results showed a favorable performance with the use to fuzzy-PID controllers. (author)
Bharti Panjwani; Vijay Mohan
2013-01-01
This paper deals with two intelligent control schemes based on artificial neural network for temperature control in a jacketed Continuous Stirred Tank Reactor. Objective is to regulate the reactor temperature for an exothermic reaction taking place in the CSTR by manipulating the thermal condition of jacket. PID based NARMA-L2 and PID based ANFIS controller are designed and their performances are analyzed and compared. The simulation results show the priority of ANFIS control over NARMA-L2 co...
Tuning PID Controller by Neural Network for Robot Manipulator Trajectory Tracking
Saad Zaghlul Saeed Al-Khayyt
2013-01-01
Ziegler and Nichols proposed the well-known Ziegler-Nichols method to tune the coefficients of PID controller. This tuning method is simple and gives fixed values for the coefficients which make PID controller have weak adaptabilities for the model parameters variation and changing in operating conditions. In order to achieve adaptive controller, the Neural Network (NN) self-tuning PID control is proposed in this paper which combines conventional PID controller and Neural Network learning cap...
PID Controller Settings Based on a Transient Response Experiment
Silva, Carlos M.; Lito, Patricia F.; Neves, Patricia S.; Da Silva, Francisco A.
2008-01-01
An experimental work on controller tuning for chemical engineering undergraduate students is proposed using a small heat exchange unit. Based upon process reaction curves in open-loop configuration, system gain and time constant are determined for first order model with time delay with excellent accuracy. Afterwards students calculate PID…
An improved PID switching control strategy for type 1 diabetes.
Marchetti, Gianni; Barolo, Massimiliano; Jovanovic, Lois; Zisser, Howard; Seborg, Dale E
2008-03-01
In order for an "artificial pancreas" to become a reality for ambulatory use, a practical closed-loop control strategy must be developed and validated. In this paper, an improved PID control strategy for blood glucose control is proposed and critically evaluated in silico using a physiologic model of Hovorka et al. [1]. The key features of the proposed control strategy are: 1) a switching strategy for initiating PID control after a meal and insulin bolus; 2) a novel time-varying setpoint trajectory; 3) noise and derivative filters to reduce sensitivity to sensor noise; and 4) a practical controller tuning strategy. Simulation results demonstrate that proposed control strategy compares favorably to alternatives for realistic conditions that include meal challenges, incorrect carbohydrate meal estimates, changes in insulin sensitivity, and measurement noise. PMID:18334377
A Comparison between Fuzzy-PSO Controller and PID-PSO Controller for Controlling a DC Motor
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Ali Ghareaghaji
2015-06-01
Full Text Available The Direct current motors are in different types and there are several methods for controlling of their speed. In this paper two ways for speed controlling suggested. First a fuzzy logic speed controller for DC motor is designed and it’s parameter calculated by Particle Sward Optimization (PSO. The speed controller designed according to fuzzy rules, then for having better performance, the controller optimized with PSO. Secondly a PID controller that it’s parameter find by PSO, is used for speed controlling of a DC motor. At the end the performance of fuzzy logic controller compared with PID controller. The results show that fuzzy-PSO controller has better performance.
Adaptive PID formation control of nonholonomic robots without leader's velocity information.
Shen, Dongbin; Sun, Weijie; Sun, Zhendong
2014-03-01
This paper proposes an adaptive proportional integral derivative (PID) algorithm to solve a formation control problem in the leader-follower framework where the leader robot's velocities are unknown for the follower robots. The main idea is first to design some proper ideal control law for the formation system to obtain a required performance, and then to propose the adaptive PID methodology to approach the ideal controller. As a result, the formation is achieved with much more enhanced robust formation performance. The stability of the closed-loop system is theoretically proved by Lyapunov method. Both numerical simulations and physical vehicle experiments are presented to verify the effectiveness of the proposed adaptive PID algorithm. PMID:24388355
Control of a Quadrotor Using a Smart Self-Tuning Fuzzy PID Controller
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Deepak Gautam
2013-11-01
Full Text Available This paper deals with the modelling, simulation-based controller design and path planning of a four rotor helicopter known as a quadrotor. All the drags, aerodynamic, coriolis and gyroscopic effect are neglected. A Newton-Euler formulation is used to derive the mathematical model. A smart self-tuning fuzzy PID controller based on an EKF algorithm is proposed for the attitude and position control of the quadrotor. The PID gains are tuned using a self-tuning fuzzy algorithm. The self-tuning of fuzzy parameters is achieved based on an EKF algorithm. A smart selection technique and exclusive tuning of active fuzzy parameters is proposed to reduce the computational time. Dijkstra’s algorithm is used for path planning in a closed and known environment filled with obstacles and/or boundaries. The Dijkstra algorithm helps avoid obstacle and find the shortest route from a given initial position to the final position.
LHCb PID Upgrade Technical Design Report
LHCb Collaboration
2013-01-01
The LHCb upgrade will take place in the second long shutdown of the LHC, currently scheduled to begin in 2018. The upgrade will enable the experiment to run at luminosities of $2 \\times 10^{33}cm^{-2}s^{-1}$ and will read out data at a rate of 40MHz into a exible software-based trigger. All sub-detectors of LHCb will be re-designed to comply with these new operating conditions. This Technical Design Report presents the upgrade plans of the Ring Imaging Cherenkov (RICH) system, the calorimeter system and the muon system, which together provide the particle identication capabilities of the experiment.
Speed Control of Bldc Motor Drive By Using Pid Controllers
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Y.Narendra Kumar,
2014-04-01
Full Text Available This paper mainly deals with the Brushless DC (BLDC motor speed driving systems have sprouted in various small scale and large scale applications like automobile industries, domestic appliances etc. This leads to the development in Brushless DC motor (BLDCM. The usage of BLDC Motor enhances various performance factors ranging from higher efficiency, higher torque in low-speed range, high power density ,low maintenance and less noise than other motors. The BLDC Motor can act as an alternative for traditional motors like induction and switched reluctance motors. In this paper PID controller is implemented with speed feedback loop and it is observe that torque ripples are minimized. Simulation is carried out using MATLAB / SIMULINK. The results show that the performance of BLDC Motor is quite satisfactory for various loading conditions. Brushless DC motor drives are typically employed in speed controlled applications.
A New Fuzzy Sliding Mode Controller with PID Sliding Surface for Underwater Manipulators
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Hossein Nejatbakhsh Esfahani
2013-09-01
Full Text Available Design of an accurate and robust controller is challenging topic in underwater manipulator control. This is due to hydrodynamic disturbances in underwater environment. In this paper a sliding mode control (SMC included a PID sliding surface and fuzzy tunable gain is designed. In this proposed controller robustness property of SMC and fast response of PID are incorporated with fuzzy rules to reduce error tracking. In the control law, for remove of chattering, the exponential function is used. And also system is analyzed in terms of stability by direct lyapunov method. By tuning gains with fuzzy logic, the proposed controller does not require an accurate model of underwater manipulator dynamics. Hence the modeling and simulation studies are done for an underwater manipulator to verify the effectiveness of the proposed method. Both new proposed controller and conventional SMC are simulated. The results of simulation show the high performance of proposed controller in comparison to conventional SMC.
MINIMUM RULE BASED PID SLIDING MODE FUZZY CONTROL TECHNIQUES FOR BRUSHLESS DC MOTOR DRIVES
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M. Sudha
2012-09-01
Full Text Available In this paper, a mathematical tunable gain model free PID - like sliding mode fuzzy controller (PIDSMFC is designed to rich the best performance. Sliding mode fuzzy controller is studied because of its model free,stable and high performance. Today, most of systems are used in unknown and unstructured environment and caused to provide sophisticated systems, therefore strong mathematical tools (e.g., nonlinear sliding mode controller are used in artificial intelligent control methodologies to design model free nonlinear robust controller with high performance (e.g., minimum error, good trajectory, disturbance rejection. Non linear classical theories have been applied successfully in many applications, but they also have some limitation. One of the most important challenging in pure sliding mode controller and sliding mode fuzzy controller is sliding surface slope. Thispaper focuses on adjusting the gain updating factor and sliding surface slope in PID-like sliding modefuzzy controller to have the best performance and reduce the limitation.
Cascade control of superheated steam temperature with neuro-PID controller.
Zhang, Jianhua; Zhang, Fenfang; Ren, Mifeng; Hou, Guolian; Fang, Fang
2012-11-01
In this paper, an improved cascade control methodology for superheated processes is developed, in which the primary PID controller is implemented by neural networks trained by minimizing error entropy criterion. The entropy of the tracking error can be estimated recursively by utilizing receding horizon window technique. The measurable disturbances in superheated processes are input to the neuro-PID controller besides the sequences of tracking error in outer loop control system, hence, feedback control is combined with feedforward control in the proposed neuro-PID controller. The convergent condition of the neural networks is analyzed. The implementation procedures of the proposed cascade control approach are summarized. Compared with the neuro-PID controller using minimizing squared error criterion, the proposed neuro-PID controller using minimizing error entropy criterion may decrease fluctuations of the superheated steam temperature. A simulation example shows the advantages of the proposed method. PMID:22776550
Design and implementation of a 2-DOF PID compensation for magnetic levitation systems.
Ghosh, Arun; Rakesh Krishnan, T; Tejaswy, Pailla; Mandal, Abhisek; Pradhan, Jatin K; Ranasingh, Subhakant
2014-07-01
This paper employs a 2-DOF (degree of freedom) PID controller for compensating a physical magnetic levitation system. It is shown that because of having a feedforward gain in the proposed 2-DOF PID control, the transient performance of the compensated system can be changed in a desired manner unlike the conventional 1-DOF PID control. It is also shown that for a choice of PID parameters, although the theoretical loop robustness is the same for both the compensated systems, in real-time, 2-DOF PID control may provide superior robustness if a suitable choice of the feedforward parameter is made. The results are verified through simulations and experiments. PMID:24947430
Speed Control of Separately Excited D.C. Motor using Self-Tuned Parameters of PID Controller
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A. K. Mansoor
2013-05-01
Full Text Available This paper presents a simulation and hardware implementation of a closed loop control of a separately excited D.C. motor using a self-tuning PID controller. The PID controller design is based on using the Field Programmable Analog Array (FPAA technology. Parameters tuning of the PID controller is achieved by using the genetic algorithm (GA. The FPAA controller based technology gives the advantage of low power, no quantization noise, high bandwidth and high speed response. The practical results show that a self-tuning controller can outperform a hand-tuned solution and demonstrate adaptability to plant drift; also it gives very acceptable results in the reduction of overshoot, stability time and the steady-state transient response of the controlled plant.
Das, Saptarshi; Das, Shantanu; Gupta, Amitava; 10.1016/j.engappai.2011.10.004
2012-01-01
A novel fractional order (FO) fuzzy Proportional-Integral-Derivative (PID) controller has been proposed in this paper which works on the closed loop error and its fractional derivative as the input and has a fractional integrator in its output. The fractional order differ-integrations in the proposed fuzzy logic controller (FLC) are kept as design variables along with the input-output scaling factors (SF) and are optimized with Genetic Algorithm (GA) while minimizing several integral error indices along with the control signal as the objective function. Simulations studies are carried out to control a delayed nonlinear process and an open loop unstable process with time delay. The closed loop performances and controller efforts in each case are compared with conventional PID, fuzzy PID and PI{\\lambda}D{\\mu} controller subjected to different integral performance indices. Simulation results show that the proposed fractional order fuzzy PID controller outperforms the others in most cases.
Comparison of Controller Performance of Fuzzy with PID for a Level Control of Conical Tank System
Srividya, A.; Viswanath, M.; Ravi Kiran, T. K. S.; Ayeesha Siddiqa, M.
2013-01-01
This paper attempts to design the controllers like Adaptive PI, Fuzzy Logic Control (FLC) for the conical tank (Non-linear Process) to maintain the liquid level in tank. The level control becomes quite typical due to the nonlinear shape of tank i.e. the rate of rise of water in the narrow part is high and gets reduced as height increases thus causing non-linearity in the level. The time constant and gain vary as a function of level. Proportional-integral-derivative (PID) controllers are widel...
MINIMUM RULE BASED PID SLIDING MODE FUZZY CONTROL TECHNIQUES FOR BRUSHLESS DC MOTOR DRIVES
M. Sudha; C. Navaneethakkannan
2012-01-01
In this paper, a mathematical tunable gain model free PID - like sliding mode fuzzy controller (PIDSMFC) is designed to rich the best performance. Sliding mode fuzzy controller is studied because of its model free,stable and high performance. Today, most of systems are used in unknown and unstructured environment and caused to provide sophisticated systems, therefore strong mathematical tools (e.g., nonlinear sliding mode controller) are used in artificial intelligent control methodologies to...
Particle Swarm Optimization Based Fuzzy-Neural Like PID Controller for TCP/AQM Router
Sadeq, Shahad A.; Al-faiz, Mohammed Z.
2012-01-01
In this paper a PID Fuzzy-Neural controller (FNC) is designed as an Active Queue Management (AQM) in internet routers to improve the performance of Fuzzy Proportional Integral (FPI) controller for congestion avoidance in computer networks. A combination of fuzzy logic and neural network can generate a fuzzy neural controller which in association with a neural network emulator can improve the output response of the controlled system. This combination uses the neural network training ability to...
Systematic design approach of fuzzy PID stabilizer for DC-DC converters
International Nuclear Information System (INIS)
DC-DC converters process electrical energy by switching between a fixed number of configurations. The objective of controlling these systems is to provide better performances, ensure closed loop stability and guarantee a simple predictable behaviour. Based on a converter averaged model, we propose, in this paper, a systematic design approach of a fuzzy PID. The choice of controller parameters stands on the whole system stability requirements. Extension of the obtained asymptotic stability to structural stability is presented to show that the developed controller ensures also a simple and predictable behaviour of the converter. Finally, we illustrate the efficiency of the proposed fuzzy PID design approach through simulations in voltage mode as well as in current mode control
Implementation of FPGA based PID Controller for DC Motor Speed Control System
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Prashant Kumar# 1 , Ravi Mishra
2013-03-01
Full Text Available In this paper, the implementation of software module using 'VHDL' for Xilinx FPGA (XC2S30 based PID controller for DC motor speed control system is presented. The tools used for building and testing the software modules are Xilinx ISE 9.1i and ModelSim XE III 6.3c. Before verifying the design on FPGA the complete design is simulated using Modelsim Simulation tool. A test bench is written where, the set speed can be changed for the motor. It is observed that the motor speed gradually changes to the set speed and locks to the set speed
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Sanjay Kr. Singh
2014-05-01
Full Text Available This study focuses on multi-objective optimization of the PID controllers for optimal speed control for an isolated steam turbine. In complex operations, optimal tuning plays an imperative role in maintaining the product quality and process safety. This study focuses on the comparison of the optimal PID tuning using Multi-objective Genetic Algorithm (NSGA-II against normal genetic algorithm and Ziegler Nichols methods for the speed control of an isolated steam turbine. Isolated steam turbine not being connected to the grid; hence is usually used in refineries as steam turbine, where a hydraulic governor is used for the speed control. The PID controller for the system has been designed and implemented using MATLAB and SIMULINK and the results of the design methods have been compared, analysed and conclusions indicates that the significant improvement of results have been obtained by the Multi-Objective GA based optimization of PID as much faster response is obtained as compared to the ordinary GA and Ziegler Nichols method.
Research on the Robustness of an Adaptive PID Control of a Kind of Supersonic Missile
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Gangling Jiao
2012-09-01
Full Text Available Based on the multi-loop design method, the dynamic characteristic of missile system is viewed as a two-loops system, such as inner loop and outer loop. An adaptive PID control strategy is designed for the pitch channel linear model of supersonic missile. The robustness of a double PID controller is analyzed by changing the aerodynamic coefficients. The control law is testified to be stable even the aerodynamic coefficients are changed between 0.7 and 1.7 times of its standard value and the control effect is compared with the sliding mode control strategy. Also the advantage and defect of both control strategy are summarized at the end of this study.
Improved PID method of temperature control for adiabatic demagnetization refrigerators
International Nuclear Information System (INIS)
We report a new method of precise temperature control for an adiabatic demagnetization refrigerator (ADR). Temperature of the experimental stage of ADRs is usually controlled with the standard PID (Proportional, Integral, and Derivative control) method by decreasing the magnet current of the superconducting solenoid surrounding the paramagnetic salt inside the ADR. In controlling the temperature of our portable ADR system, we found a small residual between the aimed and measured temperatures, which gradually increased in time as the magnet current decreases. This phenomenon is explained by the magnetic cooling theory, and we have introduced a new functional parameter to improve the standard PID method. Applying this improvement to our system, highly stabilized temperature of 10?K rms at 100mK up to the period of ?15ks is presented. It is demonstrated that the temperature controlled time was increased by ?30% in our experiment. Our improved PID method is useful to maintain the long-term temperature stability down to almost zero magnet current with a relatively small ADR
Hybrid PID-fuzzy control scheme for managing energy resources in buildings
Paris, Benjamin; Eynard, Julien; Grieu, Ste?phane; Polit, Monique
2011-01-01
Both indoor temperature regulation and energy resources management in buildings require the design and the implementation of efficient and readily adaptable control schemes. One can use standard schemes, such as "on/off" and PID, or "advanced" schemes, such as MPC (Model Predictive Control). Another approach would be considering artificial intelligence tools. In this sense, fuzzy logic allows controlling temperature and managing energy sources, taking advantage of the flexibility offered by l...
PID controller tuning for integrating processes.
Ali, Ahmad; Majhi, Somanath
2010-01-01
Minimizing the integral squared error (ISE) criterion to get the optimal controller parameters results in a PD controller for integrating processes. The PD controller gives good servo response but fails to reject the load disturbances. In this paper, it is shown that satisfactory closed loop performances for a class of integrating processes are obtained if the ISE criterion is minimized with the constraint that the slope of the Nyquist curve has a specified value at the gain crossover frequency. Guidelines are provided for selecting the gain crossover frequency and the slope of the Nyquist curve. The proposed method is compared with some of the existing methods to control integrating plant transfer functions and in the examples taken it always gave better results for the load disturbance rejection whilst maintaining satisfactory setpoint response. For ease of use, analytical expressions correlating the controller parameters to plant model parameters are also given. PMID:19782358
Split PID control: two sensors can be better than one
Znaimer, Leith; Bechhoefer, John
2014-01-01
The traditional proportional-integral-derivative (PID) algorithm for regulation suffers from a tradeoff: placing the sensor near the sample being regulated ensures that its steady-state temperature matches the desired setpoint. However, the propagation delay (lag) between heater and sample can limit the control bandwidth. Moving the sensor closer to the heater reduces the lag and increases the bandwidth but introduces offsets and drifts into the temperature of the sample. He...
Developing e-course Robust Constrained PID Control
Peter ?apák; Mikuláš Huba
2011-01-01
This paper informs about the latest development of the blended learning course Robust Constrained PID Control and describes in details problems faced in evaluating independent work of students with real time experiments that represent the main element of the applied “learning by doing” and “learning by experimenting” approach. Basic features of the developed system that evaluates consistency of student’s results with the measured experimental data and possibilities of further system...
A Proportional Integral Derivative (PID Feedback Control without a Subsidiary Speed Loop
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M. Aboelhassan
2008-01-01
Full Text Available The aim of this investigation is to design and describe the essential features of a brushless direct-current (BLDC motor. The static and dynamical state of the BLDC-Motor is designed and calculated.Within this frame-work, it has been shown that while working with the P-controller in conjunction with the subsidiary speed loop and PD-controller (with non-zero error in a steady state without a subsidiary speed loop, there is PID-controller without a subsidiary speed loop which has zero error in a steady state. The last part of this paper is dedicated to a simulation of the circle rounds of P and PID controllers with and without a subsidiary speed loop in MATLAB–SIMULINK to decide which of these controllers is suitable, available and reliable with a BLDC-Motor and their application in cutting tool machines in general.
Temperature Control System of Screw Air Compressor Based on Fuzzy PID Control Theory
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Mingbo Lv
2011-11-01
Full Text Available In order to improve the inaccuracy of the traditional screw compressor PID controller parameters when initial set. To improve the speed and accuracy, raises a theory of determination on the PID controller based on fuzzy control theory and the first method of Ziegle•Nichols, applied to determine the initial value of PID controller. And the theory is applied on new controller. Then the PI D controller parameters are obtained which can meet the control requirements. The validity and reliability of this determination method is verified.
Application of self-adjustment PID fuzzy controller in inverter air-conditioning control system
Jiang, Jing; Zhang, Xuesong
2013-03-01
Two-dimensional fuzzy temperature controller was used in the system of inverter air-conditioner to control the room temperature. Self-adjustment PID fuzzy controller was proposed to realize real-time control function. V / F control mode was used to compensate with low voltage, the average sampling algorithm was proposed to implement SPWM waveform modulation. Finally, the feasibility of self-adjustment PID fuzzy controller was verified by simulation, the actual operation results had proved that self-adjustment PID fuzzy controller had reliable, good output waveform and small harmonic wave, which could meet operational requirements of inverter air-conditioner.
Decentralized PI/PID controllers based on gain and phase margin specifications for TITO processes.
Maghade, D K; Patre, B M
2012-07-01
In this paper, a decentralized PI/PID controller design method based on gain and phase margin specifications for two-input-two-output (TITO) interactive processes is proposed. The decouplers are designed for systems to minimize the interaction between the loops, and the first order plus dead time (FOPDT) model is achieved for each decoupled subsystem based on the frequency response fitting. An independent PI/PID controller is designed for each reduced order decoupled subsystem to obtain the desired gain and phase margins, and the performance is verified on the original interactive system to show the effectiveness of the proposed design method for the general class of TITO systems. Simulation examples are incorporated to validate the usefulness of the presented algorithm. An experimentation is performed on the Level-Temperature reactor process to show the practical applicability of the proposed method for the interactive system. PMID:22445395
Research on the Robustness of an Adaptive PID Control of a Kind of Supersonic Missile
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Gangling Jiao
2013-01-01
Full Text Available In this study, the dynamic characteristic of missile system is viewed as a two-loop system, such as inner loop and outer loop and we design an adaptive PID control strategy for the pitch channel linear model of supersonic missile. The robustness of a double PID controller is analyzed by changing the aerodynamic coefficients. The control law is testified to be stable even the aerodynamic coefficients are changed between 0.7 and 1.7 times of its standard value and the control effect is compared with the sliding mode control strategy. Also the advantage and defect of both control strategy are summarized at the end of this study.
Research on the Steering Control System of Rice Transplanter based on Fuzzy Immunity PID
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WANG Yi
2014-02-01
Full Text Available In order to realize the automatic driving of the machinery working in the paddy field, using the stepping motor as the driving power and taking 2ZG630A high speed rice transplanter as the study platform, the steering mechanism of the rice transplanter was improved in this study. The controller with the fuzzy immunity PID control algorithm was designed and applied in the navigation control system of the rice transplanter as well. The test result indicated that the course deviation can be controlled within 0.5° and 1.1° and its control can be realized in 4 and 6 sec separately when the rice transplanter was driven in the cement floor or the paddy field by the speed of 0.7 m/sec. It also indicated that the steering control system of rice transplanter based on fuzzy immunity PID can satisfy the automatic navigation request of the vehicles used in the agriculture.
Compare the results of Tuning of PID controller by using PSO and GA Technique for AVR system
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Anil Kumar , Dr. Rajeev Gupta
2013-06-01
Full Text Available This paper Present to design method fordetermining the optimal proportional-integral-derivative(PID controller parameters of an Automatic VoltageRegulator (AVR system using the particle swarmoptimization (PSO algorithm and Genetic Algorithm (GA.The design goal is to minimize transient response byminimizing overshoot, settling time and rise time of stepresponse. The proposed approach had superior features,including easy implementation, stable convergencecharacteristic, and good computational efficiency. Fast tuningof optimum PID controller parameters yields high-qualitysolution. First an objective function is defined, and then byminimizing the objective functions using real-coded GA andPSO, the optimal controller parameters can be assigned.Compare the result of step response of AVR system by usingParticle Swarm Optimization (PSO and Genetic Algorithm(GA. The obtained result of the closed loop PSO-PID andGA-PID controller response to the unit step input signalshows excellent performance of the PID controller.Keywords— AVR system, Feedback System, Optimization,PID controller, PSO and GA.
Scientific Electronic Library Online (English)
Maria Isabel, Berto; Fabiana Rodrigues de, Sá; Vivaldo, Silveira Jr..
2004-09-01
Full Text Available O trabalho consiste na implementação de um controle convencional PID/SISO-feedback para obter um ajuste fino na temperatura de entrada da água de aquecimento em um processo de pasteurização. Para isto utilizou-se uma resistência de 2500 Watts instalada na linha do fluido secundário da seção de aquec [...] imento do pasteurizador e um Pt100 para a medição de sua temperatura. Como o comportamento desta temperatura em função de uma mesma perturbação degrau de potência na resistência é dependente da vazão de trabalho, objetivou-se encontrar um controle único para que a mesma fosse mantida no set-point desejado na faixa de operação de vazão da água do processo (300 a 700L/h). Três sintonias para o controlador adaptativo PID foram testadas: a primeira consistiu na implementação de uma função adaptativa dos parâmetros PID, ajustada através dos valores individuais obtidos para cada vazão de trabalho conforme metodologia da curva de reação do processo; a segunda consistiu em configurar os parâmetros do PID com os valores médios destes calculados individualmente para cada vazão, e a terceira consistiu na sintonia através de uma função adaptativa ajustada pelos parâmetros de sintonia obtidos pela metodologia de Aström & Hägglund. A avaliação do desempenho das sintonias dos controladores adaptativos foi realizada por comparação dos valores dos índices de erro, obtidos por perturbações do sistema em malha fechada na vazão de água. Os resultados obtidos mostraram que dentre as sintonias testadas, a terceira sintonia, popularmente conhecida como "Bang-Bang", apresentou menores oscilações e os menores valores dos índices de erros. Abstract in english The aim of this work is to implement a conventional PID/SISO feedback control to obtain a fine adjustment of the water inlet temperature at a pasteurization process. For that, a resistance of 2500 Watts and a Pt100 to measure the temperature were installed in the water inlet line of the pasteurizer [...] heating section. As the water temperature behavior according to the same step change on the potency of the resistance depends on the working flow rate, a single controller was designed to keep this temperature at its desirable set-point, for the water flow rate, within the range of 300 to 700L/h. Three different tunings for the PID were tested: the first consisted on the implementation of a function for the calculation of the PID parameters fitted to individual values obtained from each flow rate, according to process reaction curve methodology; the second consisted on using the PID parameters calculated as the average of these individual values; at the third tuning, an adaptive function fitted with the individual parameters obtained with Aström & Hägglund methodology was used. The performance evaluation of the configured PID controllers was carried out by comparing the error index values, obtained after disturbances in the water flow rate in the closed loop system. The error indexes calculated after step changes in the water flow rate were used to evaluate the tunings. The results have shown that the third tuning, called "Bang Bang" presented minor oscillations and smaller error indexes compared to the other two methods.
Stable visual PID control of a planar parallel robot
Garrido Moctezuma, Ruben; Soria López, Alberto; Trujano Cabrera, Miguel
2008-11-01
In this paper, we study an image-based PID control of a redundant planar parallel robot using a fixed camera configuration. The control objective is to move the robot end effector to the desired image reference position. The control law has a PD term plus an integral term with a nonlinear function of the position error. The proportional and integral actions use image loop information whereas the derivative action adds task space damping using joint level measurements. The Lyapunov method and the LaSalle invariance principle allow assessing asymptotic closed loop stability. Experiments show the feasibility of the proposed approach.
Security Enhancement of Dynamic System Using PID Controller and Optimization Algorithm
Parul Dewangan; Somesh Kumar Dewangan; Jyotiprakash Patra
2012-01-01
This paper presents a research project on a dynamic system by using a controller known as PID Controller, used to provide the simplest and yet effective solutions to most of the control engineering applications today [4] and some computing algorithm, which is implemented in hardware for obtaining parameters of PID controller, for setting K values of controller, increasing the derivative time and also minimizing the integral error in the system. The system has been applied to a PID Controller ...
PID Neural Network Based Speed Control of Asynchronous Motor Using Programmable Logic Controller
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MARABA, V. A.
2011-11-01
Full Text Available This paper deals with the structure and characteristics of PID Neural Network controller for single input and single output systems. PID Neural Network is a new kind of controller that includes the advantages of artificial neural networks and classic PID controller. Functioning of this controller is based on the update of controller parameters according to the value extracted from system output pursuant to the rules of back propagation algorithm used in artificial neural networks. Parameters obtained from the application of PID Neural Network training algorithm on the speed model of the asynchronous motor exhibiting second order linear behavior were used in the real time speed control of the motor. Programmable logic controller (PLC was used as real time controller. The real time control results show that reference speed successfully maintained under various load conditions.
Genetic Algorithm Based PID tuning for Controlling Paraplegic Humanoid Walking Movement
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Hashim Ali
2012-07-01
Full Text Available Genetic Algorithm (GA is a very useful tool to search and optimize many engineering and scientific problems. In this paper, a real time enhanced biomedical model of humanoid structure is developed in MSC visual Nastran to assist the paraplegic patient. The complexity of the model is driven by the needs that the model parameters must be estimated for an eventual individual with disability. After the development of humanoid structure an inverse model is designed to estimate the joint torques. The reference trajectories of the humanoid model are obtained from MSC visual Nastran.The controllers are designed in Matlab/ Simulink for four joints which are manually tuned simultaneously to obtain the results. Afterwards, GA is used to tune the PID controllers to find the optimal solutions which are compared with manually tuned PIDs. The results are shown and hence it is proved that GA has given a better optimized control system.
Application of a Pid+fuzzy controller on the motion control system in machine tools
Scientific Electronic Library Online (English)
H. B., Lacerda; E. M., Belo.
1999-09-01
Full Text Available This work deals with an hybrid PID+fuzzy logic controller applied to control the machine tool biaxial table motions. The non-linear model includes backlash and the axis elasticity. Two PID controllers do the primary table control. A third PID+fuzzy controller has a cross coupled structure whose func [...] tion is to minimise the trajectory contour errors. Once with the three PID controllers tuned, the system is simulated with and without the third controller. The responses results are plotted and compared to analyse the effectiveness of this hybrid controller over the system. They show that the proposed methodology reduces the contour error in a proportion of 70:1.
Application of a Pid+fuzzy controller on the motion control system in machine tools
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H. B. Lacerda
1999-09-01
Full Text Available This work deals with an hybrid PID+fuzzy logic controller applied to control the machine tool biaxial table motions. The non-linear model includes backlash and the axis elasticity. Two PID controllers do the primary table control. A third PID+fuzzy controller has a cross coupled structure whose function is to minimise the trajectory contour errors. Once with the three PID controllers tuned, the system is simulated with and without the third controller. The responses results are plotted and compared to analyse the effectiveness of this hybrid controller over the system. They show that the proposed methodology reduces the contour error in a proportion of 70:1.
Xiang Li
2009-01-01
A new speed control strategy is presented for high performance control of a Brushless Direct Current Motor (BLDCM). A self-tuning Neuro-PID controller is developed for speed control. The PID gains are tuned automatically by the neural network in an on-line way. In recent years, the re-searches on the control of electrical machines based on Neuro-PID Position Controller are increased.It offers inherent advantages over conventional PID controller for BLDCM, Such as reduction of the effects ...
Fault tolerant control of multivariable processes using auto-tuning PID controller.
Yu, Ding-Li; Chang, T K; Yu, Ding-Wen
2005-02-01
Fault tolerant control of dynamic processes is investigated in this paper using an auto-tuning PID controller. A fault tolerant control scheme is proposed composing an auto-tuning PID controller based on an adaptive neural network model. The model is trained online using the extended Kalman filter (EKF) algorithm to learn system post-fault dynamics. Based on this model, the PID controller adjusts its parameters to compensate the effects of the faults, so that the control performance is recovered from degradation. The auto-tuning algorithm for the PID controller is derived with the Lyapunov method and therefore, the model predicted tracking error is guaranteed to converge asymptotically. The method is applied to a simulated two-input two-output continuous stirred tank reactor (CSTR) with various faults, which demonstrate the applicability of the developed scheme to industrial processes. PMID:15719931
Nonlinear Adaptive PID Control for Greenhouse Environment Based on RBF Network
Guanghui Li; Lihong Xu; Haigen Hu; Songwei Zeng
2012-01-01
This paper presents a hybrid control strategy, combining Radial Basis Function (RBF) network with conventional proportional, integral, and derivative (PID) controllers, for the greenhouse climate control. A model of nonlinear conservation laws of enthalpy and matter between numerous system variables affecting the greenhouse climate is formulated. RBF network is used to tune and identify all PID gain parameters online and adaptively. The presented Neuro-PID control scheme is validated through ...
S.Augustilindiya; S. Palani; K.Vijayarekha; M.BreethiYeltsina
2013-01-01
Tuning PID controller parameters using Evolutionary algorithm for an asynchronous Buck converter is presented in this paper. PID controller is one of the solutions for controlling a Buck converter during transient conditions. There are straight forward ways for calculating the parameters for the PID controller in the literature and evolutionary algorithm based approach with a proper fitnessfunction gives superior performance when compared to other methods. Ziegler Nicholas method, Hurwitz pol...
LabVIEW FPGA Implementation Of a PID Controller For D.C. Motor Speed Control
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Fakhrulddin H. Ali
2010-12-01
Full Text Available This Paper presents a novel hardware design methodology of digital control systems. For this, instead of synthesizing the control system using Very high speed integration circuit Hardware Description Language (VHDL, LabVIEW FPGA module from National Instrument (NI is used to design the whole system that include analog capture circuit to take out the analog signals (set point and process variable from the real world, PID controller module, and PWM signal generator module to drive the motor. The physical implementation of the digital system is based on Spartan-3E FPGA from Xilinx. Simulation studies of speed control of a D.C. motor are conducted and the effect of a sudden change in reference speed and load are also included.
Developing e-course Robust Constrained PID Control
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Peter ?apák
2011-04-01
Full Text Available This paper informs about the latest development of the blended learning course Robust Constrained PID Control and describes in details problems faced in evaluating independent work of students with real time experiments that represent the main element of the applied “learning by doing” and “learning by experimenting” approach. Basic features of the developed system that evaluates consistency of student’s results with the measured experimental data and possibilities of further system expansion to automation of offering to student constructive feedback are discussed. Simultaneously, by comparing all data of the Matlab workspace the developed system serves although as an excellent anti-plagiarism tool.
Energy Technology Data Exchange (ETDEWEB)
Pothiya, Saravuth; Ngamroo, Issarachai [Department of Electrical Engineering, Faculty of Engineering, King Mongkut' s Institute of Technology Ladkrabang, Bangkok 10520 (Thailand)
2008-10-15
This paper proposes a new optimal fuzzy logic-based-proportional-integral-derivative (FLPID) controller for load frequency control (LFC) including superconducting magnetic energy storage (SMES) units. Conventionally, the membership functions and control rules of fuzzy logic control are obtained by trial and error method or experiences of designers. To overcome this problem, the multiple tabu search (MTS) algorithm is applied to simultaneously tune PID gains, membership functions and control rules of FLPID controller to minimize frequency deviations of the system against load disturbances. The MTS algorithm introduces additional techniques for improvement of search process such as initialization, adaptive search, multiple searches, crossover and restarting process. Simulation results explicitly show that the performance of the optimum FLPID controller is superior to the conventional PID controller and the non-optimum FLPID controller in terms of the overshoot, settling time and robustness against variations of system parameters. (author)
International Nuclear Information System (INIS)
This paper proposes a new optimal fuzzy logic-based-proportional-integral-derivative (FLPID) controller for load frequency control (LFC) including superconducting magnetic energy storage (SMES) units. Conventionally, the membership functions and control rules of fuzzy logic control are obtained by trial and error method or experiences of designers. To overcome this problem, the multiple tabu search (MTS) algorithm is applied to simultaneously tune PID gains, membership functions and control rules of FLPID controller to minimize frequency deviations of the system against load disturbances. The MTS algorithm introduces additional techniques for improvement of search process such as initialization, adaptive search, multiple searches, crossover and restarting process. Simulation results explicitly show that the performance of the optimum FLPID controller is superior to the conventional PID controller and the non-optimum FLPID controller in terms of the overshoot, settling time and robustness against variations of system parameters
Experimental studies on active vibration control of a smart composite beam using a PID controller
International Nuclear Information System (INIS)
This paper presents experimental verification of the active vibration control of a smart cantilever composite beam using a PID controller. In order to prevent negative occurrences in the derivative and integral terms in a PID controller, first-order low-pass filters are implemented in the derivative action and in the feedback of the integral action. The proposed application setup consists of a composite cantilever beam with a fiber-reinforced piezoelectric actuator and strain gage sensors. The beam is modeled using a finite element method based on third-order shear deformation theory. The experiment considers vibration control under periodic excitation and an initial static deflection. A control algorithm was implemented on a PIC32MX440F256H microcontroller. Experimental results corresponding to the proposed PID controller are compared with corresponding results using proportional (P) control, proportional–integral (PI) control and proportional–derivative (PD) control. Experimental results indicate that the proposed PID controller provides 8.93% more damping compared to a PD controller, 14.41% more damping compared to a PI controller and 19.04% more damping compared to a P controller in the case of vibration under periodic excitation. In the case of free vibration control, the proposed PID controller shows better performance (settling time 1.2 s) compared to the PD controller (settling time 1.5 s) and PI controller (settling time 2.5 s). (paper)ime 2.5 s). (paper)
A Proportional Integral Derivative (PID) Feedback Control without a Subsidiary Speed Loop
Aboelhassan, M.
2008-01-01
The aim of this investigation is to design and describe the essential features of a brushless direct-current (BLDC) motor. The static and dynamical state of the BLDC-Motor is designed and calculated.Within this frame-work, it has been shown that while working with the P-controller in conjunction with the subsidiary speed loop and PD-controller (with non-zero error in a steady state) without a subsidiary speed loop, there is PID-controller without a subsidiary speed loop which has zero error i...
OPTIMAL-TUNING OF PID CONTROLLER GAINS USING GENETIC ALGORITHMS
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Ömer GÜNDO?DU
2005-01-01
Full Text Available This paper presents a method of optimum parameter tuning of a PID controller to be used in driving an inertial load by a dc motor thorough a gearbox. Specifically, the method uses genetic algorithms to determine the optimum controller parameters by minimizing the sum of the integral of the squared error and the squared controller output deviated from its steady state value. The paper suggests the use of Ziegler-Nichols settings to form the intervals for the controller parameters in which the population to be formed. The results obtained from the genetic algorithms are compared with the ones from Ziegler-Nichols in both figures and tabular form. Comparatively better results are obtained in the genetic algorithm case.
Merrikh-bayat, Farshad; Jamshidi, Alireza
2013-01-01
This paper proposes the application of fractional-order PID (FOPID) controller for output voltage control of boost converters. For this purpose, parameters of the FOPID controller are calculated such that the Integral Absolute Error (IAE) of the variations of the output voltage is minimized. Since the search space is very large in dealing with such an optimization problem, the Artificial Bee Colony (ABC) algorithm is used for optimal tuning the parameters of the FOPID contro...
International Nuclear Information System (INIS)
A three-parameter fuzzy self-adaptive-adjusting Proportional-Integral-Differential (PID) control system is designed in this paper based on the full study of the characteristics of once-through steam generator. The fuzzy self-adaptive technique as well as three-parameter control system is introduced to normal PID control system. Simulation result indicates that this control system can give effective control over once-through steam generator by the analysis of control simulation result. (authors)
Online Self-Tuning Precompensation for a PID Heading Control of a Flying Robot
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Manukid Parnichkun
2008-11-01
Full Text Available In this paper, an online self-tuning precompensation for a Proportional-Integral-Derivative (PID controller is proposed to control heading direction of a flying robot. The flying robot is a highly nonlinear plant, it is a modified X-Cell 60 radio-controlled helicopter. Heading direction is controlled to evaluate efficiency of the proposed precompensation algorithm. The heading control is based on the conventional PID control combined with an online self-tuning precompensation so that both the desired transient and steady state responses can be achieved. The precompensation is applied to compensate unsatisfied performances of the conventional PID controller by adjusting reference command. The precompensator is based on Takagi-Sugeno's type fuzzy model, which learns to tune itself online. The main contribution of the proposed controller is to enhance the controlled performance of the conventional PID controller by adding a self-tuning precompensator on the existing conventional PID controller. The results show that the conventional PID controller with an online self-tuning precompensation has a superior performance than the conventional PID controller. In addition, the online selftuning precompensation algorithm is implemented simply by adding the precompensator to the existing conventional PID controller and letting the self-tuning mechanism tune itself online.
Directory of Open Access Journals (Sweden)
Afsaneh Salehi
2013-05-01
Full Text Available Refer to this paper, an intelligent-fuzzy feed-forward computed torque estimator for Proportional-Integral-Derivative (PID controller is proposed for highly nonlinear continuum robot manipulator. In the absence of robot knowledge, PID may be the best controller, because it is model-free, and its parameters can be adjusted easily and separately and it is the most used in robot manipulators. In order to remove steady-state error caused by uncertainties and noise, the integrator gain has to be increased. This leads to worse transient performance, even destroys the stability. The integrator in a PID controller also reduces the bandwidth of the closed-loop system. Model-based compensation for PD control is an alternative method to substitute PID control. Computed torque compensation is one of the nonlinear compensator. The main problem of the pure computed torque compensator (CTC was highly nonlinear dynamic parameters which related to system’s dynamic parameters in certain and uncertain systems. The nonlinear equivalent dynamic problem in uncertain system is solved by using feed-forward fuzzy inference system. To eliminate the continuum robot manipulator system’s dynamic; Mamdani fuzzy inference system is design and applied to CTC. This methodology is based on design feed-forward fuzzy inference system and applied to CTC. The results demonstrate that the model base feed-forward fuzzy CTC estimator works well to compensate linear PID controller in presence of partly uncertainty system (e.g., continuum robot.
Chip-Size Evaluation of a Multithreaded Processor Enhanced with a PID Controller
Bauer, Michael; Pacher, Mathias; Brinkschulte, Uwe
2010-01-01
In this paper the additional chip size of a Proportional/Integral/Diff-erential (PID) controller in a multithreaded processor is evaluated. The task of the PID unit is to stabilize a thread's throughput, the instruction per cycle rate (IPC rate). The stabilization of the IPC rate allocated to the main thread increases the efficiency of the processor and also the execution time remaining for other threads. The overhead introduced by the PID controller implementation in the VHDL model of an emb...
Optimization of PID Controllers Using Ant Colony and Genetic Algorithms
Ünal, Muhammet; Topuz, Vedat; Erdal, Hasan
2013-01-01
Artificial neural networks, genetic algorithms and the ant colony optimization algorithm have become a highly effective tool for solving hard optimization problems. As their popularity has increased, applications of these algorithms have grown in more than equal measure. While many of the books available on these subjects only provide a cursory discussion of theory, the present book gives special emphasis to the theoretical background that is behind these algorithms and their applications. Moreover, this book introduces a novel real time control algorithm, that uses genetic algorithm and ant colony optimization algorithms for optimizing PID controller parameters. In general, the present book represents a solid survey on artificial neural networks, genetic algorithms and the ant colony optimization algorithm and introduces novel practical elements related to the application of these methods to process system control.
Neuro-PID tracking control of a discharge air temperature system
International Nuclear Information System (INIS)
In this paper, the problem of improving the performance of a discharge air temperature (DAT) system using a PID controller and augmenting it with neural network based tuning and tracking functions is explored. The DAT system is modeled as a SISO (single input single output) system. The architecture of the real time neuro-PID controller and simulation results obtained under realistic operating conditions are presented. The neural network assisted PID tuning method is simple to implement. Results show that the network assisted PID controller is able to track both constant and variable set point trajectories efficiently in the presence of disturbances acting on the DAT system
Active Queue Management in TCP Networks Based on Fuzzy-Pid Controller
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Hossein ASHTIANI
2012-01-01
Full Text Available We introduce a novel and robust active queue management (AQM scheme based on a fuzzy controller, called hybrid fuzzy-PID controller. In the TCP network, AQM is important to regulate the queue length by passing or dropping the packets at the intermediate routers. RED, PI, and PID algorithms have been used for AQM. But these algorithms show weaknesses in the detection and control of congestion under dynamically changing network situations. In this paper a novel Fuzzy-based proportional-integral derivative (PID controller, which acts as an active queue manager (AQM for Internet routers, is proposed. These controllers are used to reduce packet loss and improve network utilization in TCP/IP networks. A new hybrid controller is proposed and compared with traditional RED based controller. Simulations are carried out to demonstrate the effectiveness of the proposed method and show that, the new hybrid fuzzy PID controller provides better performance than random early detection (RED and PID controllers
Directory of Open Access Journals (Sweden)
Mohammed Shoeb Mohiuddin
2014-09-01
Full Text Available It is often difficult to develop an accurate mathematical model of DC motor due to unknown load variation, unknown and unavoidable parameter variations or nonlinearities due to saturation temperature variations and system disturbances. Fuzzy logic application can handle such nonlinearities so that the controller design is fundamentally robust which is not possible in conventional controllers. The knowledge base of a fuzzy logic controller (FLC encapsulates expert knowledge and consists of the Data base (membership functions and Rule-Base of the controller. Optimization of both these knowledge base components is critical to the performance of the controller and has traditionally been achieved through a process of trial and error. Such an approach is convenient for FLCs having low numbers of input variables however for greater numbers of inputs, more formal methods of knowledge base optimization are required. In this work, we study the challenging task of controlling the speed of DC motor. The feasibility of such controller design is evaluated by simulation in the MATLAB/Simulink environment. In this study Conventional Proportional Integral Derivative controller, Fuzzy logic controller using a chopper circuit and Fuzzy tuned PID controller are analyzed and compared. Simulation software like MATLAB with Simulink has been used for modeling and simulation purpose. The performance comparison of conventional controller with Fuzzy logic controller using chopper circuit and Fuzzy tuned PID controller has been done in terms of several performance measures Such as Settling time, Rise time and Overshoot.
DEFF Research Database (Denmark)
Jantzen, Jan
1998-01-01
Design of a fuzzy controller requires more design decisions than usual, for example regarding rule base, inference engine, defuzzification, and data pre- and post processing. This tutorial paper identifies and describes the design choices related to single-loop fuzzy control, based on an international standard which is underway. The paper contains also a design approach, which uses a PID controller as a starting point. A design engineer can view the paper as an introduction to fuzzy controller design.
Kesavan.E; Rakesh kumar.S
2013-01-01
This paper suggests an idea to design an adaptive PID controller for Non-linear liquid tank System and is implemented in PLC. Online estimation of linear parameters (Time constant and Gain) brings an exact model of the process to take perfect control action. Based on these estimated values, the controller parameters will be well tuned by internal model control. Internal model control is an unremarkably used technique and provides well tuned controller in order to have a good controlling proce...
Speed Control System on Marine Diesel Engine Based on a Self-Tuning Fuzzy PID Controller
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Naeim Farouk
2012-03-01
Full Text Available The degree of speed control of ship machinery effects on the economics and optimization of the machinery configuration and operation. All marine vessel ranging need some sort of speed control system to control and govern the speed of the marine diesel engines. This study presents a self-tuning fuzzy PID control system for speed control system of marine diesel engine. The system under consideration is a fourth-order plant with highly dynamic and uncertain environments. The current speed controllers for marine/traction diesel engines based on PID Controller cannot fully handle the uncertainties associated with such dynamic environments. A fuzzy logic control algorithm is used to estimate the PID coefficients in order to handle such uncertainties to produce a better control performance. Simulation tests were established using Simulink of MATLAB. The obtained results have demonstrated the feasibility and effectiveness of the proposed approach. Simulation results are represented in this study.
Coordinating IMC-PID and adaptive SMC controllers for a PEMFC.
Wang, Guo-Liang; Wang, Yong; Shi, Jun-Hai; Shao, Hui-He
2010-01-01
For a Proton Exchange Membrane Fuel Cell (PEMFC) power plant with a methanol reformer, the process parameters and power output are considered simultaneously to avoid violation of the constraints and to keep the fuel cell power plant safe and effective. In this paper, a novel coordinating scheme is proposed by combining an Internal Model Control (IMC) based PID Control and adaptive Sliding Mode Control (SMC). The IMC-PID controller is designed for the reformer of the fuel flow rate according to the expected first-order dynamic properties. The adaptive SMC controller of the fuel cell current has been designed using the constant plus proportional rate reaching law. The parameters of the SMC controller are adaptively tuned according to the response of the fuel flow rate control system. When the power output controller feeds back the current references to these two controllers, the coordinating controllers system works in a system-wide way. The simulation results of the PEMFC power plant demonstrate the effectiveness of the proposed method. PMID:19781698
FPGA Synthesis of Fuzzy (PD and PID Controller for Insulin Pumps in Diabetes Using Cadence
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R. HariKumar
2012-01-01
Full Text Available This paper emphasizes on a FPGA synthesis of Fuzzy PD and PID Controller in biomedical application. We aim at identifying a proper methodology for the infusion process of insulin to diabetic patients using an automated fuzzy logic PD and PID controller. A synthesis of FPGA model of the above automatic controller is analyzed and synthesized. In Type I and Type II diabetes the patient is dependent on an external source of insulin to be infused at an appropriate rate to maintain blood glucose concentration. Hypoglycemia has short term effects which can lead to diabetic coma and possibly death, while hyperglycemia has a long term impact that has been linked to nephropathy, retinopathy and other tissues damage. In this process insulin is administrated through an infusion pump as a single injection. The pump is controlled by the automatic control Fuzzy PD Controller which is more efficient compared to the conventional PD Controller. This is of primary importance where the processes are too complex to be analyzed using the conventional one. The designed controller is implemented with low power multiplier and Fuzzy controller architecture. In case of non- linear inputs, Fuzzy PD Controller performs better compared to the conventional controller and consumes lesser power. The blood glucose level is monitored from Photo Plethysmography of pulse Oximeter. This fuzzy controller model will surely be a boon to the diabetic patients.
Singh, Ravendra; Ierapetritou, Marianthi; Ramachandran, Rohit
2013-11-01
The next generation of QbD based pharmaceutical products will be manufactured through continuous processing. This will allow the integration of online/inline monitoring tools, coupled with an efficient advanced model-based feedback control systems, to achieve precise control of process variables, so that the predefined product quality can be achieved consistently. The direct compaction process considered in this study is highly interactive and involves time delays for a number of process variables due to sensor placements, process equipment dimensions, and the flow characteristics of the solid material. A simple feedback regulatory control system (e.g., PI(D)) by itself may not be sufficient to achieve the tight process control that is mandated by regulatory authorities. The process presented herein comprises of coupled dynamics involving slow and fast responses, indicating the requirement of a hybrid control scheme such as a combined MPC-PID control scheme. In this manuscript, an efficient system-wide hybrid control strategy for an integrated continuous pharmaceutical tablet manufacturing process via direct compaction has been designed. The designed control system is a hybrid scheme of MPC-PID control. An effective controller parameter tuning strategy involving an ITAE method coupled with an optimization strategy has been used for tuning of both MPC and PID parameters. The designed hybrid control system has been implemented in a first-principles model-based flowsheet that was simulated in gPROMS (Process System Enterprise). Results demonstrate enhanced performance of critical quality attributes (CQAs) under the hybrid control scheme compared to only PID or MPC control schemes, illustrating the potential of a hybrid control scheme in improving pharmaceutical manufacturing operations. PMID:23523542
Active vibration control of a piezoelectric beam using PID controller: Experimental study
Scientific Electronic Library Online (English)
Najeeb ur, Rahman; M. Naushad, Alam.
2012-12-01
Full Text Available Vibration suppression of smart beams using the piezoelectric patch structure is presented in the present work. The smart system consists of a beam as the host structure and piezoceramic patches as the actuation and sensing elements. An experimental set-up has been developed to obtain the active vibr [...] ation suppression of smart beam. The set-up consists of a smart cantilever beam, the data acquisition system and a LabView based controller. Experiments are performed for different beam specimen. The coupled effcient layerwise (zigzag) theory is used for theoretical finite element modeling. The finite element model is free of shear locking. The beam element has two nodes with four mechanical and a variable number of electric degrees of freedom at each node. In the thickness direction, the electric field is approximated as piecewise linear across an arbitrary number of sub-layers in the piezoelectric layers. Cubic Hermite interpolation is used for the deflection, and linear interpolation is used for the axial displacement and the shear rotation. Undamped Natural Frequencies are obtained by solving the Eigen Value problem using Subspace Iteration method for cantilever beam. A state space model characterizing the dynamics of the physical system is developed from experimental results using PID approach for the purpose of control law design. The experimental results obtained by using the active vibration control system have demonstrated the validity and effciency of PID controller. Experiments are conducted to compare the controlling of various cantilever beams of different sizes. It shows that the present actuator and sensor based control method is effective and the LabView control plots for various beams can be used as a benchmark for analytical work. The results are compared with ABAQUS software and 1D Finite element formulation based on zigzag theory.
Simulation Research on Control System of Brushless DC Motor Based on Fuzzy-PID
Directory of Open Access Journals (Sweden)
Fanneng Zhou
2012-02-01
Full Text Available To improve the overall performance of brushless DC motor (BLDCM, fuzzy-PID controller and its application in BLDCM control system are presented. Through the analysis of the mathematical models of BLDCM and combination of fuzzy control strategy and traditional PID control strategy, the modeling and simulation are done by the fuzzy control toolbox of MATLAB. The simulation results show that the fuzzy PID control speeds up response time, reduces the overshoot, and has strong robust and adaptive capacity, so it can make the system have better control performance and good application value.
Effect of Time Delay on Robust PID Controllers for a Transfer Function
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Mukul Gaur,
2013-05-01
Full Text Available A controller designed for a nominal process model generally works fine for the nominal plant model, but may fail even by a slight change in it. Robust control deals with system analysis and control design for such imperfectly known process models. Robust control has been a recent addition to the field of control engineering that primarily deals with obtaining system robustness in the presence of uncertainties. A lot of research has been done and many approaches are available for robust design of the plants. In this paper, a graphical technique introduced in [1] to find all proportional integral derivative (PID controllers that satisfy the robust stability constraint of a given single input-single-output (SISO linear time-invariant (LTI system with time delay[1], is followed and effects of change of time-delay in the nominal plant model is discussed.
Multi-Drive Paper System Control Based on Multi-Input Multi-Output PID Controller
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Boumediène ALLAOUA
2010-12-01
Full Text Available Paper industries require several drives for paper processing. Electronic synchronization has to be ensured for quality of produced paper rolls. Several control strategies of multi-input multi-output (MIMO system (multivariable system have been suggested based on robust control or electronic emulation of mechanical line shaft. In this paper, a multivariable proportional-integral-derivative (PID controller applied on multi-drive paper system (MDPS. The proposed controller has superior feature, including easy implementation, stable convergence characteristics and very good computational performances efficiency. The multivariable PID controller is modeled in MATLAB environment. The speed control of MDPS (in our case is a triple drive system based on multivariable PID is more proficient in improving the speed loop response stability, the steady state error is reduced, the rising time is perfected and the disturbances do not affect the performances of driving motors with no overtaking.
Performance Analysis and FPGA Implementation of Digital PID Controller for Speed Control of DC Motor
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Charul Agarwal
2013-06-01
Full Text Available This paper deals with the performance analysis and implementation of PID(Proportional-Integral-Derivative Controller on FPGA platform.The hardware implementation has been done on Xilinx Spartan 3E FPGA board.The software implementation has been done using Xilinx ISE 8.1i as a tool and simulation is performed using ModelSim 5.4a as a simulator.The PWM signal is generated by FPGA board,which further given to dc motor for its speed control. A new technique has been introduced for the generation of the control input as a PWM signal for controlling the motor driver circuit and decoding the optical encoder data for using it for the speed feedback in the PID control loop. The VHDL algorithm for the proposed implementation has been presented in this paper. Performance analysis of PID controller using MATLAB software shows the effectiveness of the proposed method.
Please no more PID tuning rules
Oliveira, Paulo; Cunha, Jose? Boaventura; Coelho, J. P.
2002-01-01
Despite the large number of existent design and tunig techniques, adequate PID controller tuning by plant operations is still not accomplished in many process control loops. The particle swarm optimisation algorithms is proposed as an alternative technique to design and tune PID controllers for linear single-input single-output systems. This evolutionary approach is illustrated by a simulation example, in which the PID is used to control a set of models that represents a wide variety of proce...
Optimized linear motor and digital PID controller setup used in Mössbauer spectrometer
Kohout, Pavel; Kou?il, Lukáš; Nava?ík, Jakub; Novák, Petr; Pechoušek, Ji?í
2014-10-01
Optimization of a linear motor and digital PID controller setup used in a Mössbauer spectrometer is presented. Velocity driving system with a digital PID feedback subsystem was developed in the LabVIEW graphical environment and deployed on the sbRIO real-time hardware device (National Instruments). The most important data acquisition processes are performed as real-time deterministic tasks on an FPGA chip. Velocity transducer of a double loudspeaker type with a power amplifier circuit is driven by the system. Series of calibration measurements were proceeded to find the optimal setup of the P, I, D parameters together with velocity error signal analysis. The shape and given signal characteristics of the velocity error signal are analyzed in details. Remote applications for controlling and monitoring the PID system from computer or smart phone, respectively, were also developed. The best setup and P, I, D parameters were set and calibration spectrum of ?-Fe sample with an average nonlinearity of the velocity scale below 0.08% was collected. Furthermore, the width of the spectral line below 0.30 mm/s was observed. Powerful and complex velocity driving system was designed.
MULTI OBJECTIVE OPTIMIZATION OF VEHICLE ACTIVE SUSPENSION SYSTEM USING DEBBO BASED PID CONTROLLER
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Kalaivani Rajagopal
2014-03-01
Full Text Available This paper proposes the Multi Objective Optimization (MOO of Vehicle Active Suspension System (VASS with a hybrid Differential Evolution (DE based Biogeography-Based Optimization (BBO (DEBBO for the parameter tuning of Proportional Integral Derivative (PID controller. Initially a conventional PID controller, secondly a BBO, an rising nature enthused global optimization procedure based on the study of the ecological distribution of biological organisms and a hybridized DEBBO algorithm which inherits the behaviours of BBO and DE have been used to find the tuning parameters of the PID controller to improve the performance of VASS by considering a MOO function as the performance index. Simulations of passive system, active system having PID controller with and without optimizations have been performed by considering dual and triple bump kind of road disturbances in MATLAB/Simulink environment. The simulation results show the effectiveness of DEBBO based PID (DEBBOPID in achieving the goal.
Noradin Ghadimi; Akbar Danandeh; Rasoul Ghadimi
2012-01-01
This study is aimed to introduce the new controller in order to control of output power of one of the most important types of distributed generation namely micro-turbine, during system load variations. Microturbine output power should be control against the load variations in island mode condition and a controller should be designed for this purpose. Here, the PID Controller is used which its coefficients are optimized based on particle swarm optimization algorithm. In order to use this algor...
Automatic PID Tuning Based on Genetic Algorithm for Botnia Soccer Robots
Gong, Pengju
2012-01-01
Current PID parameters of botnia soccer robot are experiential predefined. Those PID parameters are fixed on different field surface, which make the PID controller cannot perform very well. To get appropriate PID parameters based on the specific field, the genetic algorithm was used to tune the PID parameters automatically. In this thesis, a genetic algorithm program used to tune botnia soccer robot PID parameters has been designed. Meanwhile, this design has been simulated with Matlab and...
Online Self-Tuning Precompensation for a PID Heading Control of a Flying Robot
Manukid Parnichkun; Sukon Puntunan
2008-01-01
In this paper, an online self-tuning precompensation for a Proportional-Integral-Derivative (PID) controller is proposed to control heading direction of a flying robot. The flying robot is a highly nonlinear plant, it is a modified X-Cell 60 radio-controlled helicopter. Heading direction is controlled to evaluate efficiency of the proposed precompensation algorithm. The heading control is based on the conventional PID control combined with an online self-tuning precompensation so that both th...
Das, Saptarshi; Pan, Indranil; Das, Shantanu
2013-07-01
Fuzzy logic based PID controllers have been studied in this paper, considering several combinations of hybrid controllers by grouping the proportional, integral and derivative actions with fuzzy inferencing in different forms. Fractional order (FO) rate of error signal and FO integral of control signal have been used in the design of a family of decomposed hybrid FO fuzzy PID controllers. The input and output scaling factors (SF) along with the integro-differential operators are tuned with real coded genetic algorithm (GA) to produce optimum closed loop performance by simultaneous consideration of the control loop error index and the control signal. Three different classes of fractional order oscillatory processes with various levels of relative dominance between time constant and time delay have been used to test the comparative merits of the proposed family of hybrid fractional order fuzzy PID controllers. Performance comparison of the different FO fuzzy PID controller structures has been done in terms of optimal set-point tracking, load disturbance rejection and minimal variation of manipulated variable or smaller actuator requirement etc. In addition, multi-objective Non-dominated Sorting Genetic Algorithm (NSGA-II) has been used to study the Pareto optimal trade-offs between the set point tracking and control signal, and the set point tracking and load disturbance performance for each of the controller structure to handle the three different types of processes. PMID:23664205
Performances and Analysis of D.C Machine using PID Controller
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Kapinjay Ucharia, Himmat Singh
2014-03-01
Full Text Available An intelligent PID Controller has been developed for speed control DC Motor. The aims of proposed scheme improve the tracking performance of separately excited DC Motor as compared to the conventional PID Control strategy. Performance of this new control has been verified through the simulation using MATLAB / Simulink. In the present work of PID concept is applied for both control strategy current control and speed control strategy for DC Separately excited motor. Excellent result added to the simplicity of the drive system make the PID Based control strategy suitable for large number of industries paper mills etc. The performance of the proposed system has been compared with traditional one using conventional one controller. The entire system has been modal by matlab. D.C motors drives are widely used in application requiring adjustable speed, good speed regulation and frequent starting, breaking and reversing applications
Fuzzy PID Control Method for Internet-based Tele-operation Manipulators System
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Wei Gao
2013-11-01
Full Text Available Trajectory tracking control problem for internet-based tele-operation system is researched in this paper. The control structure of master and slave tele-operation manipulators adapts bilateral servo control architecture with force deviation feedback. The simulation model of three degrees of freedom (3-DOF manipulator is presented. In order to ensure the synchronization of positions of the master and slave manipulators, a fuzzy PID control method is proposed. This control algorithm is to adjust the three parameters of PID controller online by fuzzy control method. The contrast simulation experiments of PID and fuzzy PID control methods show that the proposed control method can effectively improve the force and position tracking performance and reduce time delay.
Computation of stabilizing PI and PID controllers using the stability boundary locus
International Nuclear Information System (INIS)
In this paper, a new method for the calculation of all stabilizing PI controllers is given. The proposed method is based on plotting the stability boundary locus in the (k p, k i)-plane and then computing the stabilizing values of the parameters of a PI controller. The technique presented does not require sweeping over the parameters and also does not need linear programming to solve a set of inequalities. Thus it offers several important advantages over existing results obtained in this direction. Beyond stabilization, the method is used to shift all poles to a shifted half plane that guarantees a specified settling time of response. Computation of stabilizing PI controllers which achieve user specified gain and phase margins is studied. It is shown via an example that the stabilizing region in the (k p, k i)-plane is not always a convex set. The proposed method is also used to design PID controllers. The limiting values of a PID controller which stabilize a given system are obtained in the (k p, k i)-plane (k p, k d)-plane and (k i, k d)-plane. Furthermore, the proposed method is used to compute all the parameters of a PI controller which stabilize a control system with an interval plant family. Examples are given to show the benefits of the method presented
A High Order Sliding Mode Control with PID Sliding Surface: Simulation on a Torpedo
Rhif, Ahmed
2012-01-01
Position and speed control of the torpedo present a real problem for the actuators because of the high level of the system non linearity and because of the external disturbances. The non linear systems control is based on several different approaches, among it the sliding mode control. The sliding mode control has proved its effectiveness through the different studies. The advantage that makes such an important approach is its robustness versus the disturbances and the model uncertainties. However, this approach implies a disadvantage which is the chattering phenomenon caused by the discontinuous part of this control and which can have a harmful effect on the actuators. This paper deals with the basic concepts, mathematics, and design aspects of a control for nonlinear systems that make the chattering effect lower. As solution to this problem we will adopt as a starting point the high order sliding mode approaches then the PID sliding surface. Simulation results show that this control strategy can attain exce...
PI, PID and Fuzzy logic controller for Reactive Power and Harmonic Compensation
Karuppanan, P.; Kanta Mahapatra, Kamala
2010-01-01
This article describes the proportional integral (PI), proportional integral derivative (PID) and fuzzy logic controller (FLC) based three phase shunt active power line conditioners (APLC) for the power-quality improvement such as reactive power and harmonic current compensation generated due to nonlinear loads. PI, PID controller requires precise linear mathematical model and FLC needs linguistic description of the system. The controller is capable of controlling dc capacitor voltage and gen...
Multi-Objective PID-Controller Tuning for a Magnetic Levitation System using NSGA-II
DEFF Research Database (Denmark)
Pedersen, Gerulf K. M.; Yang, Zhenyu
2006-01-01
This paper investigates the issue of PID-controller parameter tuning for a magnetic levitation system using the non-dominated sorting genetic algorithm (NSGA-II). The magnetic levitation system is inherently unstable and the PID-controller parameters are hard to find using conventional methods. Based on four different performance measures, derived from the step response of the levitation system, the algorithm is used to find a set of non-dominated parameters for a PID-controller that can stabilize the system and minimize the performance measures.
US Agency for International Development — PIDS is the web-based system designed to allow data input and consultative sessions by USAID/Liberia's IPs and USAID personnel. It is established and maintained by...
A numerical model including PID control of a multizone crystal growth furnace
Panzarella, Charles H.; Kassemi, Mohammad
1992-01-01
This paper presents a 2D axisymmetric combined conduction and radiation model of a multizone crystal growth furnace. The model is based on a programmable multizone furnace (PMZF) designed and built at NASA Lewis Research Center for growing high quality semiconductor crystals. A novel feature of this model is a control algorithm which automatically adjusts the power in any number of independently controlled heaters to establish the desired crystal temperatures in the furnace model. The control algorithm eliminates the need for numerous trial and error runs previously required to obtain the same results. The finite element code, FIDAP, used to develop the furnace model, was modified to directly incorporate the control algorithm. This algorithm, which presently uses PID control, and the associated heat transfer model are briefly discussed. Together, they have been used to predict the heater power distributions for a variety of furnace configurations and desired temperature profiles. Examples are included to demonstrate the effectiveness of the PID controlled model in establishing isothermal, Bridgman, and other complicated temperature profies in the sample. Finally, an example is given to show how the algorithm can be used to change the desired profile with time according to a prescribed temperature-time evolution.
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Aleem Ahmed Khan
2012-10-01
Full Text Available The idea of this paper is to compare the time-response performance characteristics between two controllers having different strategy for an inverted pendulum system. The main objective is to determine which control strategy brings the better results in comparative analysis with regard to pendulum’s angle and cart’s position of the system. The inverted pendulum system in fact a critical and challenging control problem, which continually moves away from a stable state. Two Control strategies for an Inverted pendulum system model are presented for stabilized controlling such as Proportional-Integral-Derivatives (PID and Fuzzy Logic Controller (FLC Controllers. Matlab Simulation has been performed on Simulink platform shows that both controllers successfully controls Multi-output Inverted pendulum system. However PID is more efficient and has a better time response characteristics than FLC control strategy.
Effects of a GPC-PID control strategy with hierarchical structure for a cooling coil unit
International Nuclear Information System (INIS)
This paper presents a GPC-PID control strategy for a cooling-coil unit in heating, ventilation and air conditioning systems. By analysis of the cooling towers and chillers, different models in the occupied period are considered in each operating condition. Because of the complication of components, well tuned PID controllers are unsatisfied, and the results are poor over a wide range of operation conditions. To solve this problem, a GPC-PID controller with hierarchical structure is proposed based on minimizing the generalized predictive control criterion to tune conventional PID controller parameters. Simulation and experiments show that the proposed controller is able to deal with a wide range of operating conditions and to achieve better performance than conventional methods
A PID Sliding Mode Control for Ropeless Elevator Maglev Guiding System
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Hadi Afsharirad
2012-05-01
Full Text Available In this paper, three different controllers are proposed and simulated for maglev guiding systems to have convenient and smooth elevator motion. The proposed controllers are PID, sliding mode, and PID sliding mode controllers. The advantages and disadvantages of the proposed controllers are discussed. Although, PID controller is fast, its response affected considerably by external disturbances. Unlike PID, the sliding mode controller is so robust, but its transient is unsuitable based on application conditions. However, an acceptable controller for ropeless elevator guiding system should guaranty the passengers safety and convenient. Consequently, the response of the system should be fast, robust, and without considerable overshoots and oscillations. These required advantages are compromised in the proposed parallel PID sliding mode controller. The affectivity of the introduced controllers for maglev guiding system is investigated through conducted simulations in MATLAB/Simulink environment. The obtained results illustrate that PID sliding mode controller is a so fast and robust controller for a ropeless elevator maglev guiding system.
The Design of Constant Pressure Water Supply PID System Based on PLC
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Yilei Wang
2012-02-01
Full Text Available According to the requirement of city residential water demand, this paper designs a set of VF speed regulating constant pressure water supply system based on PLC. The system consists of PLC, transducer, pressure sensor, water pumps and other units. The system controls three water pumps by frequency conversion cycle, which have soft starting and frequency function, and with the principle of “start first and stop last”, the system makes effective use of water pump motors. PLC computes by PID through the deviation between the measured value and the set value, controls the output frequency of the inverter and changes the water pump motor speed according to the operation result, so as to maintain the user’s pipe network pressure, to achieve the purpose of constant pressure water supply. The design is of great technical and economic benefits, and has the broad application prospect and promotion value.
Active Queue Management in TCP Networks Based on Fuzzy-Pid Controller
Ashtiani, Hossein; Pour, Hamed Moradi; Nikpour, Mohsen
2012-01-01
We introduce a novel and robust active queue management (AQM) scheme based on a fuzzy controller, called hybrid fuzzy-PID controller. In the TCP network, AQM is important to regulate the queue length by passing or dropping the packets at the intermediate routers. RED, PI, and PID algorithms have been used for AQM. But these algorithms show weaknesses in the detection and control of congestion under dynamically changing network situations. In this paper a novel Fuzzy-based proportional-integra...
Antonio Yarza; Victor Santibanez; Javier Moreno-Valenzuela
2011-01-01
An unsolved ancient problem in position control of robot manipulators is to find a stability analysis that proves global asymptotic stability of the classical PID control in closed loop with robot manipulators. The practical evidence suggests that in fact the classical PID in industrial robots is a global regulator. The main goal of the present paper is theoretically to show why in the practice such a fact is achieved. We show that considering the natural saturations of every control stage in...
Sanjay Kr Singh; Boolchandani, D.; Modani, S. G.; Nitish Katal
2014-01-01
This study focuses on multi-objective optimization of the PID controllers for optimal speed control for an isolated steam turbine. In complex operations, optimal tuning plays an imperative role in maintaining the product quality and process safety. This study focuses on the comparison of the optimal PID tuning using Multi-objective Genetic Algorithm (NSGA-II) against normal genetic algorithm and Ziegler Nichols methods for the speed control of an isolated steam turbine. Isolated steam turbine...
Event driven intelligent PID controllers with applications to motion control
Wang, Jing; Mounier, Hugues; Cela, Arben; Niculescu, Silviu-iulian
2011-01-01
A novel type of reduced complexity controller is proposed. It is the combination of model free control and event triggered control. The robustness of model free control, especially for badly known dynamics, is added to the event based scheme. The performances of the proposed method are illustrated in two motion controls, vehicular longitudinal control and quadrotor control. Comparisons with existing control schemes are also proposed.
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S.Augustilindiya
2013-08-01
Full Text Available Tuning PID controller parameters using Evolutionary algorithm for an asynchronous Buck converter is presented in this paper. PID controller is one of the solutions for controlling a Buck converter during transient conditions. There are straight forward ways for calculating the parameters for the PID controller in the literature and evolutionary algorithm based approach with a proper fitnessfunction gives superior performance when compared to other methods. Ziegler Nicholas method, Hurwitz polynomial method and Genetic Algorithm based method are compared. It is found that Genetic Algorithm based method yields better result. The hardware implementation of Genetic Algorithm assisted PID controller with low cost is desired and such an implementation is taken in this paper. A low cost microcontroller with built-in PWM modules is implemented and the performance is compared with simulations.
COMPARISON OF PID TUNING TECHNIQUES FOR CLOSED LOOP CONTROLLER OF DC-DC BOOST CONVERTER
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Apekshit Bhowate
2015-02-01
Full Text Available The capability of PID controller to withstand practical industrial problems has led to its inclusive acceptance in industries and academics. It has been observed that PID controller tuning is quite difficult by classical methods using graphs and mathematical analysis. In this paper, PID theory is briefly summarized and some standard tuning methods are discussed using MATLAB. Accordingly compensator transfer function is derived by different methods and compared based on the steady state response and system characteristics. This effort inspects which method is best for conventional DC-DC boost converter.
Comparison between Conventional and Fuzzy Logic PID Controllers for Controlling DC Motors
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Essam Natsheh
2010-09-01
Full Text Available Fuzzy logic and proportional-integral-derivative (PID controllers are compared for use in direct current (DC motors positioning system. A simulation study of the PID position controller for the armature-controlled with fixed field and field controlled with fixed armature current DC motors is performed. Fuzzy rules and the inferencing mechanism of the fuzzy logic controller (FLC are evaluated by using conventional rule-lookup tables that encode the control knowledge in a rules form. The performance assessment of the studied position controllers is based on transient response and error integral criteria. The results obtained from the FLC are not only superior in the rise time, speed fluctuations, and percent overshoot but also much better in the controller output signal structure, which is much remarkable in terms of the hardware implementation.
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V.Shanmuga Sundaram ,
2011-05-01
Full Text Available The LFC problem, which is the major requirement in parallel operation of several interconnected systems, is one of very important subjects in power system studies. In this study, the power systems with threeareas connected through tie-lines are considered. The perturbation of frequencies at the areas and resulting tieline power flows arise due to unpredictable load variations that cause mismatch between the generated and demanded powers. The objective of LFC is to minimize the transient deviations and to provide zero steady state errors of these variables in a very short time. Variation in load frequency is an index for normal operation of power systems. When load Perturbation takes place anywhere in any area of the system, it will affect the frequency at other areas also. To control load frequency of power systems various controllers are used in different areas, but due to non-linearity's in the system components and alternators, these controllers cannot control the frequency quickly and efficiently. The simple neural networks can alleviate this difficulty. This paper deals with various controllers like proportional integral (PI, Proportional Integral Derivative (PID andANN (Artificial neural network tuned PID controller for three area load frequency control.The performance of the PID type controller with fixed gain, Conventional integral controller (PI and ANN based PID (ANN-PID controller have been compared through MATLAB Simulation results. Comparison of performance responses of integral controller & PID controller show that the ANN- PID controller has quite satisfactory generalization capability, feasibility and reliability, as well as accuracy in three area system. The qualitative and quantitative comparison have been carried out for Integral,PID and ANN- PID controllers. The superiority of the performance of ANN over integral and PID controller is highlighted.
A PID based MIMO control system of the CMS Tracker thermal screen
Carrone, Enzo
2004-01-01
The Tracker is one of the CMS (Compact Muon Solenoid experiment) subdetectors to be installed at the LHC (Large Hadron Collider) accelerator at CERN (European Organization for Nuclear Research). The tracker will be operated at a temperature of -10 degree C in order to reduce the radiation damage on the silicon detectors; hence, an insulated environment has to be provided by means of a screen that introduces a thermal separation between the Tracker and the neighbouring detection systems. The control system design includes a description of the process by means of a thermodynamic model and the electrical equivalence. The transfer function is inferred by the ratio of the temperature outside the tracker and the heat generated (which is the controlled variable). A PID (Proportional Integral Derivative) controller has then been designed. The MIMO (Multiple Input Multiple Output) approach and the Relative Gain Array showed that mutual interactions are negligible. The results achieved so far prove that this methodolog...
Fitzpatrick, Clare K; Baldwin, Mark A; Clary, Chadd W; Maletsky, Lorin P; Rullkoetter, Paul J
2014-01-01
Validated computational knee simulations are valuable tools for design phase development of knee replacement devices. Recently, a dynamic finite element (FE) model of the Kansas knee simulator was kinematically validated during gait and deep flexion cycles. In order to operate the computational simulator in the same manner as the experiment, a proportional-integral-derivative (PID) controller was interfaced with the FE model to control the quadriceps actuator excursion and produce a target flexion profile regardless of implant geometry or alignment conditions. The controller was also expanded to operate multiple actuators simultaneously in order to produce in vivo loading conditions at the joint during dynamic activities. Subsequently, the fidelity of the computational model was improved through additional muscle representation and inclusion of relative hip-ankle anterior-posterior (A-P) motion. The PID-controlled model was able to successfully recreate in vivo loading conditions (flexion angle, compressive joint load, medial-lateral load distribution or varus-valgus torque, internal-external torque, A-P force) for deep knee bend, chair rise, stance-phase gait and step-down activities. PMID:22687046
Approach of PID Controller Tuning for Geothermal Systems
Silaghi, Alexandru Marius; Costea, Claudiu Raul
2010-01-01
In this study, a controller was designed fortemperature control. This paper propose to analyse thetemperature value in geothermal power station andcontrol it. The results are obtained by simulating aSimulink model.
PID feedback controller used as a tactical asset allocation technique: The G.A.M. model
Gandolfi, G.; Sabatini, A.; Rossolini, M.
2007-09-01
The objective of this paper is to illustrate a tactical asset allocation technique utilizing the PID controller. The proportional-integral-derivative (PID) controller is widely applied in most industrial processes; it has been successfully used for over 50 years and it is used by more than 95% of the plants processes. It is a robust and easily understood algorithm that can provide excellent control performance in spite of the diverse dynamic characteristics of the process plant. In finance, the process plant, controlled by the PID controller, can be represented by financial market assets forming a portfolio. More specifically, in the present work, the plant is represented by a risk-adjusted return variable. Money and portfolio managers’ main target is to achieve a relevant risk-adjusted return in their managing activities. In literature and in the financial industry business, numerous kinds of return/risk ratios are commonly studied and used. The aim of this work is to perform a tactical asset allocation technique consisting in the optimization of risk adjusted return by means of asset allocation methodologies based on the PID model-free feedback control modeling procedure. The process plant does not need to be mathematically modeled: the PID control action lies in altering the portfolio asset weights, according to the PID algorithm and its parameters, Ziegler-and-Nichols-tuned, in order to approach the desired portfolio risk-adjusted return efficiently.
A Paper on System Stability (First Order and Second Order) Using PID Controller
Kshitiz Agarwal
2013-01-01
PID Controller is used for tuning of three constants(P,I&D).It stabilize the system by reducing oscillations andsettling time. In the proposed method, new tuning rules based onthe exact satisfaction of gain and phase margin specificationsusing proportional-integral (PI) andproportional-integral-differential (PID) type controllers are usedfor unstable first-order plus dead-time (UFOPDT) processes. Thetuning rules are given in the form of iterative algorithms, as wellas in the form of accurate,...
MULTI OBJECTIVE OPTIMIZATION OF VEHICLE ACTIVE SUSPENSION SYSTEM USING DEBBO BASED PID CONTROLLER
Kalaivani Rajagopal; Lakshmi Ponnusamy
2014-01-01
This paper proposes the Multi Objective Optimization (MOO) of Vehicle Active Suspension System (VASS) with a hybrid Differential Evolution (DE) based Biogeography-Based Optimization (BBO) (DEBBO) for the parameter tuning of Proportional Integral Derivative (PID) controller. Initially a conventional PID controller, secondly a BBO, an rising nature enthused global optimization procedure based on the study of the ecological distribution of biological organisms and a hybridized DEBBO algorithm wh...
Power Regulation of a Wind Turbine Using Adaptive Fuzzy- PID Pitch Angle Controller
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Sachin Goyal,
2013-05-01
Full Text Available Abstract—This paper considers power generation control in variable pitch wind turbines, using an adaptive fuzzy-PID controller. The pitch angle control system was simulated using MATLAB/ SIMULINK tool to test the control strategy and performance evaluation of the system. To test the controller’s performance, a wind profile has been simulated and results are validated to show that the proposed controllers are effective for power regulation. To highlight the improvements of the method the proposed controller are compared to the conventional PID controller.
Compare the results of Tuning of PID controller by using PSO and GA Technique for AVR system
Anil Kumar, Dr Rajeev Gupta
2013-01-01
This paper Present to design method fordetermining the optimal proportional-integral-derivative(PID) controller parameters of an Automatic VoltageRegulator (AVR) system using the particle swarmoptimization (PSO) algorithm and Genetic Algorithm (GA).The design goal is to minimize transient response byminimizing overshoot, settling time and rise time of stepresponse. The proposed approach had superior features,including easy implementation, stable convergencecharacteristic, and good computation...
The Smith-PID Control of Three-Tank-System Based on Fuzzy Theory
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Jianqiu Deng
2011-03-01
Full Text Available According to the character of the volume-lag of the controlled process of three-tank-system, Smith predictor was adopted to compensate three-tank-system fuzzy adaptive control system. Fuzzy adaptive Smith predictive control system is composed with Smith predictor and fuzzy adaptive controller. The PID parameters were setting on line. This algorithm uses fuzzy adaptive PID control to improve the resistance ability to random disturbance and Smith predictive control to overcome the time-delay character of controlled object. Simulation results showed that this control algorithm has the advantages of strong adaptive ability and noise immunity.
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Sh. Zamani
2014-02-01
Full Text Available Modernization of irrigation canals as an operation improvement tool is essential to promote the performance of canal networks and indeed requires control systems. Proportional integral derivative (PID algorithms have more applications than the other controllers in different places of the world, but tuning these controllers for different hydraulic conditions of canals is considered as a major problem for designing control algorithms. Since the bottom slope is one of the effective factors in the water flow dynamic behavior, in this research, the distant downstream Proportional Integral Derivative feedback control with decouplers was designed with a change in longitudinal slope in a reference canal and its performance was investigated. The canal characteristics were used to tune this controller and the system identification as a new method was applied for determining canal characteristics. SOBEK hydrodynamic model modulated with MATLAB software was used to design and run the control algorithms, and slope influence on water flow behavior, tuning controller, and coefficients of controller were investigated with different values of slope. Then, controller performance for hypothetical period of operation in various scenarios was evaluated with computation performance indices. The results showed less resonance behavior of water flow and less potential of controller in steep slope
Distributed PID Control for Consensus of Homogeneous and Heterogeneous Networks
Burbano, Daniel; Di Bernardo, Mario
2014-01-01
We investigate the use of distributed PID actions to achieve consensus in networks of homogeneous and heterogeneous linear systems. Convergence of the strategy is proved for both cases using appropriate state transformations and Lyapunov functions. The effectiveness of the theoretical results is illustrated via its application to a representative power grid model recently presented in the literature.
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Gaurav
2012-06-01
Full Text Available Measuring the flow of liquids is a critical need in many industrial plants. In recent years, flow control has become a highly multi-disciplinary research activity encompassing theoretical, computational and experimental fluid dynamics. Fuzzy control is based on fuzzy logic-a logical system that is much closer in spirit to human thinking and natural language than traditional logical systems. During the past several years, fuzzy control has emerged as one of the most active and fruitful areas for research in the applications of fuzzy set theory, especially in the realm of industrial processes, which do not lend themselves to control by conventional methods because of a lack of quantitative data regarding the input-output relations. The fuzzy logic controller (FLC based on fuzzy logic provides a means of converting a linguistic control strategy based on expert knowledge into an automatic control strategy. Fuzzy Logic controller has better stability, small overshoot, and fast response. In this Paper, performance analysis of the conventional PID controller and fuzzy logic controller has been done by the use of Matlab and Simulink and in the end comparison of various time domain parameters is done to prove that the fuzzy logic controller has small overshoot and fast response as compared to PID controller.
A comparison of fuzzy logic-PID control strategies for PWR pressurizer control
International Nuclear Information System (INIS)
This paper describes the results obtained from a comparison performed between classical proportional-integral-derivative (PID) and fuzzy logic (FL) controlling the pressure in a pressurized water reactor (PWR). The two methodologies have been tested under various transient scenarios, and their performances are evaluated with respect to robustness and on-time response to external stimuli. One of the main concerns in the safe operation of PWR is the pressure control in the primary side of the system. In order to maintain the pressure in a PWR at the desired level, the pressurizer component equipped with sprayers, heaters, and safety relief valves is used. The control strategy in a Westinghouse PWR is implemented with a PID controller that initiates either the electric heaters or the sprayers, depending on the direction of the coolant pressure deviation from the setpoint
Synthesis of PID-type controllers without parametric models: A graphical approach
International Nuclear Information System (INIS)
This paper considers the problem of determining the set of all stabilizing proportional-integral-derivative (PID) type controllers without parametric models for any given linear time-invariant (LTI) plants. It is shown that the only information for designing is the frequency response data and the number of right-half-plane (RHP) poles of the plant, and all stabilizing domains in the parameter space of PID-type controllers are determined by the boundaries which are analytically described based on the technique of D-decomposition. The method can handle arbitrary order minimum phase, non-minimum phase, stable or unstable plants and particularly, plants that have zeros or poles on the imaginary axis. It is shown that the approach presented does not require any parametric models of plants and can be applied to a wide range of industrial applications, especially where plants parametric models (transfer function and state space) are not available or identification is difficult. Several examples illustrate the proposed method
International Nuclear Information System (INIS)
The simplicity in coding the heuristic judgment of experienced operator by means of fuzzy logic can be exploited for enhancement of energy efficiency. Fuzzy logic has been used as an effective tool for scheduling conventional PID controllers gain coefficients (F-PID). However, to search for the most desirable fuzzy system characteristics that allow for best performance of the energy system with minimum energy input, optimization techniques such as genetic algorithm (GA) could be utilized and the control methodology is identified as GA-based F-PID (GA-F-PID). The objective of this study is to examine the performance of PID, F-PID, and GA-F-PID controllers for enhancement of energy efficiency of a dynamic energy system. The performance evaluation of the controllers is accomplished by means of two cost functions that are based on the quadratic forms of the energy input and deviation from a setpoint temperature, referred to as energy and comfort costs, respectively. The GA-F-PID controller is examined in two different forms, namely, global form and local form. For the global form, all possible combinations of fuzzy system characteristics in the search domain are explored by GA for finding the fittest chromosome for all discrete time intervals during the entire operation period. For the local form, however, GA is used in each discrete time interval to find the fittest chromosome for implementation. The results show that the global form GA-F-PID and local form GA-F-PID contform GA-F-PID and local form GA-F-PID control methodologies, in comparison with PID controller, achieve higher energy efficiency by lowering energy costs by 51.2%, and 67.8%, respectively. Similarly, the comfort costs for deviation from setpoint are enhanced by 54.4%, and 62.4%, respectively. It is determined that GA-F-PID performs better in local from than global form.
International Nuclear Information System (INIS)
PID control is the disciplinarian frequently used in feed-back control system, and the low pass filtering PID algorithm based on the digital filtering technology is presented. The principle of this algorithm and its realization are described. The feed-back control system for plasma density in HT-7 Tokamak is introduced. The algorithm enhances the control precision by filtering the noise intermingled in the error signal and is well used in the plasma density control system in HT-7 Tokamak. (authors)
Directory of Open Access Journals (Sweden)
S.Swathi,
2014-01-01
Full Text Available This paper deals with the electronic load controller for self exited induction generator using PID plus fuzzy logic controller. The self-excited induction generators (SEIGs are considered to be well suited for generating electricity by means of conventional energy sources and for supplying electrical energy in remote and rural areas. Induction generators have many advantages such as cost, reduced maintenance, rugged, and simple construction, brushless rotor (squirrel cage. A three phase induction generator can be operated on a delta connection for supplying single phase loads. The main disadvantage of SEIG has is that it poor voltage regulation, and its value depends on the prime mover speed, capacitance, load current and power factor of the load. The electronic load controller (ELC can be used for maintaining constant voltage and frequency of SEIG with variable consumer load driven by constant prime mover. This paper presents the simulation design and implementation of ELC using fuzzy logic method for an SEIG feeding single-phase load. The ELC consist of a rectifier, IGBT as a chopper switch, PI controller, voltage sensor, and resistive dump load in which power consumption was varied through the duty cycle of the chopper. However an ELC consist of electronics system, in general, has complex nonlinear model with parameter variation problem, and the control need to be very fast. The fuzzy logic based controller gives nonlinear control with fast response and virtually no overshoot. The simulation of ELC for self exited induction generator is carried out on MATLAB/SIMULINK. By this proposed ELC using FLC for SEIG we can maintain the constant voltage and frequency of SEIG with variable consumer load.
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Bu?anovi? Ljubiša J.
2014-01-01
Full Text Available This paper deals with the design of a new algorithm of PID control based on fractional calculus (FC in production of technical gases, i.e. in a cryogenic air separation process. Production of low pressure liquid air was first introduced by P. L. Kapica and involved expansion in a gas turbine. For application in the synthesis of the control law, for the input temperature and flow of air to the expansion turbine, it is necessary to determine the appropriate differential equations of the cryogenic process of mixing of two gaseous airflows at different temperatures before entrance to the expansion turbine. Thereafter, the model is linearized and decoupled and consequently classical PID and fractional order controllers are taken to assess the quality of the proposed technique. A set of optimal parameters of these controllers are achieved through the genetic algorithm optimization procedure by minimizing a cost function. Our design method focuses on minimizing performance criterion which involves IAE, overshoot, as well as settling time. A time-domain simulation was used to identify the performance of controller with respect to a traditional optimized PID controller. [Projekat Ministarstva nauke Republike Srbije, br. 35006
PID Control of Miniature Unmanned Helicopter Yaw System Based on RBF Neural Network
Pan, Yue; Song, Ping; Li, Kejie
The yaw dynamics of a miniature unmanned helicopter exhibits a complex, nonlinear, time-varying and coupling dynamic behavior. In this paper, simplified yaw dynamics model of MUH in hovering or low-velocity flight mode is established. The SISO model of yaw dynamics is obtained by mechanism modeling and system identification modeling method. PID control based on RBF neural network method combines the advantages of traditional PID controller and neural network controller. It has fast response, good robustness and self-adapting ability. It is suitable to control the yaw system of MUH. Simulation results show that the control system works well with quick response, good robustness and self adaptation.
Dynamic characteristics research of pressurizer control system and PID parameters setting
International Nuclear Information System (INIS)
A mathematics model and simulation model of pressurizer pressure control system for nuclear power plant are established. The static and dynamic characteristics of the pressurizer pressure control system are researched under the condition of that the average coolant temperature changes +- 3 degree C and the outer load changes +- 10% of the rated power by step. The parameters of the Proportional, Integral and Differential (PID) controller are set too. As a result, if the proper parameters of the PID controller have been chosen, the static and dynamic character of pressurizer pressure control system can be greatly improved
A new control scheme for PID load frequency controller of single-area and multi-area power systems.
Padhan, Dola Gobinda; Majhi, Somanath
2013-03-01
A new control structure with a tuning method to design a PID load frequency controller for power systems is presented. Initially, the controller is designed for single area power system, then it is extended to multi-area case. The controller parameters are obtained by expanding controller transfer function using Laurent series. Relay based identification technique is adopted to estimate power system dynamics. Robustness studies on stability and performance are provided, with respect to uncertainties in the plant parameters. The proposed scheme ensures that overall system remains asymptotically stable for all bounded uncertainties and for system oscillations. Simulation results show the feasibility of the approach and the proposed method improves the load disturbance rejection performance significantly even in the presence of the uncertainties in plant parameters. PMID:23141877
????????????????????????? : (Model based control design for refrigeration systems)
DEFF Research Database (Denmark)
Kawai, Fukiko; Rasmussen, Henrik
2013-01-01
This paper presents model based control design for refrigeration systems. The refrigeration systems are traditionally controlled using relay and PID controller. These control problems are strong interactions and disturbances in the systems and these problems decrease control performance. This paper proposes a new control strategy that uses disturbance attenuation control with PID controllers. Simulation results show the effectiveness of the proposed method comparing conventional method.
AC/DC Converter AC Side Harmonic Wave Detection Based on Self-adaption Fuzzy PID Controlling
Li Jia-Sheng
2014-01-01
As AC/DC converter is a non-linear and time varying uncertain system, it is hard to reach the ideal control effect if adopting the routine Proportional Integral Differential (PID) control which is bad in dynamic property. A compound control scheme is proposed in this study which combines PID control and fuzzy self adaption. It takes error e and error variation ec as input and modifies PID parameter by using fuzzy control rule on line to satisfy the requirements of e and ec on PID parameter se...
Improved PSO tuned Classical Controllers (PID and SMC for Robotic Manipulator
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Neha Kapoor
2015-01-01
Full Text Available Due to simplicity and robustness, classical PID and SMC have been still widely used in practical applications. Performance of these controllers (PID and SMC depends upon the value of some of the constant controller parameters. To avoid the most commonly used tedious trial and error method, this paper proposes an improved PSO based method for getting the optimized value of these parameters. For validation purpose these improved PSO tuned Proportional Integral Derivative (PID and Sliding Mode (SMC classical controllers have been applied for the motion control problem of the robotic manipulator. The chattering problem of SMC has been handled by using pseudo sliding function. Further results have been analyzed by comparing them with the basic conventional controllers. Results and conclusions are based on simulation results.
Li, Heng; Ren, Changzhi; Song, Libin; Wu, Jun
2014-07-01
The direct drive tracking system of Telescope is one multivariable, nonlinear and strong coupling complex mechanical control system which is disturbed by some nonlinear disturbance such torque ripple, wind disturbance during the tracking process. the traditional PID control cannot fundamentally solved the contradiction between static and dynamic performance, tracking data and disturbance .This paper explores a kind of CMAC with nonlinear PID parallel composite control method for dual redundant telescope tracing servo system. The simulation result proves that combined algorithm based on CMAC and PID realizes the servo system without overshoot and accelerates the response of the system. What's more, CMAC feedforward control improves anti-disturbance ability and the control precision of the servo system.
Multi-variable PID neural network decoupling algorithm in scrap copper smelting process control
Li, Yingdao; Guan, Hongwei; Zhong, Weihong; Song, Zhihuan; Ma, Xiushui
2010-12-01
In order to eliminate the coupling between the loops for control in the system of scrap copper smelting, we propose the methods to built the dynamic models of inverter-fan-furnace pressure loop and natural gas and combustion air flow-air fuel ratio-furnace temperature loop based on data-driven, established the thought of multi-variable control model with the amount of scrap copper, gas flow and speed of fan as input, temperature and pressure of furnace as output, then use the method of PID neural network to decouple. Simulation results show that the control system be with the features of fast response, small overshoot and without static error, and also multi-variable PID neural network adjusts the connection weights based on the effect produced by the changes of object parameters, achieve the decoupling of the coupling variables effectively; as with reference to the PID control requirements, making the whole system be simple and standard.
Demonstration of the improved PID method for the accurate temperature control of ADRs
International Nuclear Information System (INIS)
Microcalorimeters require extreme stability (-bar 10?K) of thermal bath at low temperature (?100mK). We have developed a portable adiabatic demagnetization refrigerator (ADR) system for ground experiments with TES microcalorimeters, in which we observed residual temperature between aimed and measured values when magnet current was controlled with the standard Proportional, Integral, and Derivative control (PID) method. The difference increases in time as the magnet current decreases. This phenomenon can be explained by the theory of the magnetic cooling, and we have introduced a new functional parameter to improve the PID method. With this improvement, long-term stability of the ADR temperature about 10?K rms is obtained up to the period of ?15ks down to almost zero magnet current. We briefly describe our ADR system and principle of the improved PID method, showing the temperature control result. It is demonstrated that the controlled time of the aimed temperature can be extended by about 30% longer than the standard PID method in our system. The improved PID method is considered to be of great advantage especially in the range of small magnet current
Power System Stability Improvement By Using SVC With TID Tuned PID Controller
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Habibur, Dr. Fayzur, Harun
2012-10-01
Full Text Available This paper presents the model of a static VARcompensator (SVC which is controlled externally by aProportional IntegralDifferential(PIDcontroller for theimprovements of power system stability and damping effect ofan on line power system. PID parameters has been optimizedby proposed Triple Integral Differential(TID close loop tuningmethod. Both single phase and three phase (L-L faults havebeen considered in the research. In this paper, A power systemnetwork is considered which is simulated in the phasorsimulation method & the network is simulated in three steps;without SVC, With SVC but no externally controlled, SVC withTID tuned PID controller . Simulation result shows that withoutSVC, the system parameters becomes unstable during faults.When SVC is imposed in the network, then system parametersbecomes stable. Again, when SVC is controlled externally byPID controllers, then system parameters(V,P,Q,d? becomesstable in faster way then without controller. It has beenobserved that the SVC ratings are only 20 MVA withcontrollers and 200 MVA without controllers. So, SVC withTID tuned PID controllers are more effective to enhance thevoltage stability and increases power transmission capacity of apower system .The power system oscillations is also reducedwith controllers in compared to that of without controllers. Sowith controllers the system performance is greatly enhanced.
International Nuclear Information System (INIS)
Energy efficiency enhancement is achieved by utilizing control algorithms that reduce overshoots and undershoots as well as unnecessary fluctuations in the amount of energy input to energy consuming systems during transient operation periods. It is hypothesized that application of control methodologies with characteristics that change with time and according to the system dynamics, identified as dynamic energy efficiency measures (DEEM), achieves the desired enhancement. The objective of this study is to simulate and analyze the effects of fuzzy logic based tuning of proportional integral derivative (F-PID) and proportional sum derivative (F-PSD) controllers for a heating and cooling energy system while accounting for the dynamics of the major system components. The procedure to achieve the objective includes utilization of fuzzy logic rules to determine the PID and PSD controllers gain coefficients so that the control laws for regulating the heat exchangers heating or cooling energy inputs are determined in each time step of the operation period. The performances of the F-PID and F-PSD controllers are measured by means of two cost functions that are based on quadratic forms of the energy input and deviation from a set point temperature. It is found that application of the F-PID control algorithm, as a DEEM, results in lower costs for energy input and deviation from a set point temperature by 24% and 17% as compared to a PID and 13% and 8% as compared to a PSD, respecnd 13% and 8% as compared to a PSD, respectively. It is also shown that the F-PSD performance is better than that of the F-PID controller
Continuous Firefly Algorithm for Optimal Tuning of Pid Controller in Avr System
Bendjeghaba, Omar
2014-01-01
This paper presents a tuning approach based on Continuous firefly algorithm (CFA) to obtain the proportional-integral- derivative (PID) controller parameters in Automatic Voltage Regulator system (AVR). In the tuning processes the CFA is iterated to reach the optimal or the near optimal of PID controller parameters when the main goal is to improve the AVR step response characteristics. Conducted simulations show the effectiveness and the efficiency of the proposed approach. Furthermore the proposed approach can improve the dynamic of the AVR system. Compared with particle swarm optimization (PSO), the new CFA tuning method has better control system performance in terms of time domain specifications and set-point tracking.
Power Regulation of a Wind Turbine Using Adaptive Fuzzy- PID Pitch Angle Controller
Sachin Goyal,; Mukul Gaur,; Prof. Sulata Bhandari,
2013-01-01
Abstract—This paper considers power generation control in variable pitch wind turbines, using an adaptive fuzzy-PID controller. The pitch angle control system was simulated using MATLAB/ SIMULINK tool to test the control strategy and performance evaluation of the system. To test the controller’s performance, a wind profile has been simulated and results are validated to show that the proposed controllers are effective for power regulation. To highlight the improvements of the method the p...
PID controller auto-tuning based on process step response and damping optimum criterion.
Pavkovi?, Danijel; Polak, Siniša; Zorc, Davor
2014-01-01
This paper presents a novel method of PID controller tuning suitable for higher-order aperiodic processes and aimed at step response-based auto-tuning applications. The PID controller tuning is based on the identification of so-called n-th order lag (PTn) process model and application of damping optimum criterion, thus facilitating straightforward algebraic rules for the adjustment of both the closed-loop response speed and damping. The PTn model identification is based on the process step response, wherein the PTn model parameters are evaluated in a novel manner from the process step response equivalent dead-time and lag time constant. The effectiveness of the proposed PTn model parameter estimation procedure and the related damping optimum-based PID controller auto-tuning have been verified by means of extensive computer simulations. PMID:24035643
Genetic design of interpolated non-linear controllers for linear plants
International Nuclear Information System (INIS)
The techniques of genetic algorithms are proposed as a means of designing non-linear PID control systems. It is shown that the use of genetic algorithms for this purpose results in highly effective non-linear PID control systems. These results are illustrated by using genetic algorithms to design a non-linear PID control system and contrasting the results with an optimally tuned linear PID controller. (author)
Energy Technology Data Exchange (ETDEWEB)
Jahedi, G. [Energy Research Center, Department of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), 424 Hafez Ave, Tehran (Iran, Islamic Republic of); Ardehali, M.M., E-mail: ardehali@aut.ac.i [Energy Research Center, Department of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), 424 Hafez Ave, Tehran (Iran, Islamic Republic of)
2011-01-15
The simplicity in coding the heuristic judgment of experienced operator by means of fuzzy logic can be exploited for enhancement of energy efficiency. Fuzzy logic has been used as an effective tool for scheduling conventional PID controllers gain coefficients (F-PID). However, to search for the most desirable fuzzy system characteristics that allow for best performance of the energy system with minimum energy input, optimization techniques such as genetic algorithm (GA) could be utilized and the control methodology is identified as GA-based F-PID (GA-F-PID). The objective of this study is to examine the performance of PID, F-PID, and GA-F-PID controllers for enhancement of energy efficiency of a dynamic energy system. The performance evaluation of the controllers is accomplished by means of two cost functions that are based on the quadratic forms of the energy input and deviation from a setpoint temperature, referred to as energy and comfort costs, respectively. The GA-F-PID controller is examined in two different forms, namely, global form and local form. For the global form, all possible combinations of fuzzy system characteristics in the search domain are explored by GA for finding the fittest chromosome for all discrete time intervals during the entire operation period. For the local form, however, GA is used in each discrete time interval to find the fittest chromosome for implementation. The results show that the global form GA-F-PID and local form GA-F-PID control methodologies, in comparison with PID controller, achieve higher energy efficiency by lowering energy costs by 51.2%, and 67.8%, respectively. Similarly, the comfort costs for deviation from setpoint are enhanced by 54.4%, and 62.4%, respectively. It is determined that GA-F-PID performs better in local from than global form.
Performance Enhancement of a Dynamic System Using PID Controller Tuning Formulae
Jyotiprakash Patra; Dr.Partha Sarathi Khuntia
2011-01-01
The proportional integral derivative (PID) controller is the most dominant form of automatic controller in industrial use today. With this technique, it is necessary to adjust the controller parameters according to the nature of the process. Thus, for effective control of a HVDC system, for example, specific values need to be chosen for the P, I and D parameters, which will be different for the values required to control, for example, an induction motor drive. This tailoring of controller to ...
Note: Split PID control--two sensors can be better than one.
Znaimer, Leith; Bechhoefer, John
2014-10-01
The traditional proportional-integral-derivative (PID) algorithm for regulation suffers from a tradeoff: placing the sensor near the sample being regulated ensures that its steady-state temperature matches the desired setpoint. However, the propagation delay (lag) between heater and sample can limit the control bandwidth. Moving the sensor closer to the heater reduces the lag and increases the bandwidth but introduces offsets and drifts into the temperature of the sample. Here, we explore the consequences of using two probes-one near the heater, one near the sample-and assigning the integral term to the sample probe and the other terms to the heater probe. The split-PID algorithm can outperform PID control loops based on one sensor. PMID:25362464
Note: Split PID control—Two sensors can be better than one
Znaimer, Leith; Bechhoefer, John
2014-10-01
The traditional proportional-integral-derivative (PID) algorithm for regulation suffers from a tradeoff: placing the sensor near the sample being regulated ensures that its steady-state temperature matches the desired setpoint. However, the propagation delay (lag) between heater and sample can limit the control bandwidth. Moving the sensor closer to the heater reduces the lag and increases the bandwidth but introduces offsets and drifts into the temperature of the sample. Here, we explore the consequences of using two probes—one near the heater, one near the sample—and assigning the integral term to the sample probe and the other terms to the heater probe. The split-PID algorithm can outperform PID control loops based on one sensor.
Setpoint Weighted PID Controller for the Electromechanical Actuator in Spacecraft
R. Sumathi; M.Usha
2014-01-01
An intelligent control system for the rocket engine during electromechanical stage is designed and scrutinized in this paper. The rocket is the only vehicle that lift-offs the spacecraft in the space. But, the motion of the rocket can be influenced by internal and external disturbances. Furthermore, the rocket is a multi-input and multi-output nonlinear system whose dynamics are unstable and poorly understood. So the orientation of the spacecraft in precise position is so critical. Hence, att...
Study of PID Controller Based Pitch Actuator System for Variable Speed HAWT using MATLAB
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VISHAL T. MAKVANA, RINAL K. AHIR, DHAVAL K. PATEL, JITENDRA A. JADHAV
2013-05-01
Full Text Available As the energy demand and greenhouse gases emission is increasing day by day the popularity of renewable energy systems is also being raised. One of the most popular renewable energy systems over the past decade has been the wind energy or wind turbines. Wind turbine extracts kinetic energy from the wind. Currently much research has concentrated on improving the aerodynamic performance of wind turbine. Variable speed horizontal axis wind turbines use blade pitch control to meet specified objectives for three regions of operation named low wind, medium wind and high wind conditions. In this paper a control strategy is being developed for variable speed horizontal axis wind turbine which will allow the turbine to run at its maximum efficiency. For this purpose the PID controller based pitch actuator system is used to control the aerodynamic power of wind turbine. MATLAB Simulink power system tool is used to develop the model of PID controller. In this paper a model for the simulation of the PID controller based pitch actuator system is constructed using properly selected sub blocks. Step response of this PID controller based pitch actuator system will be analyzed. The above presented model can be a useful tool for wind power industry to study the behavior of wind turbines.
Saha, Suman; Das, Shantanu; Gupta, Amitava
2012-01-01
A novel conformal mapping based Fractional Order (FO) methodology is developed in this paper for tuning existing classical (Integer Order) Proportional Integral Derivative (PID) controllers especially for sluggish and oscillatory second order systems. The conventional pole placement tuning via Linear Quadratic Regulator (LQR) method is extended for open loop oscillatory systems as well. The locations of the open loop zeros of a fractional order PID (FOPID or PI{\\lambda}D{\\mu}) controller have been approximated in this paper vis-\\`a-vis a LQR tuned conventional integer order PID controller, to achieve equivalent integer order PID control system. This approach eases the implementation of analog/digital realization of a FOPID controller with its integer order counterpart along with the advantages of fractional order controller preserved. It is shown here in the paper that decrease in the integro-differential operators of the FOPID/PI{\\lambda}D{\\mu} controller pushes the open loop zeros of the equivalent PID cont...
Merrikh-bayat, Farshad; Mirebrahimi, Seyedeh-nafiseh; Khalili, Mohammad-reza
2014-01-01
In some of the complicated control problems we have to use the controllers that apply nonlocal operators to the error signal to generate the control. Currently, the most famous controller with nonlocal operators is the fractional-order PID (FOPID). Commonly, after tuning the parameters of FOPID controller, its transfer function is discretized (for realization purposes) using the so-called generating function. This discretization is the origin of some errors and unexpected re...
Cevat Erdal
2002-01-01
A synthesis procedure of a proportional-integral-derivative (PID) controller is implemented with commercially active component, AD844, called current – feed back amplifier. Furthermore, the optimum parameter tolerances for the proposed PID circuit by the use of parameter sensitivities are determined. These tolerances keep the relative error at the output of the controller due to parameter variations in tolerance region.
UAV Controller Based on Adaptive Neuro-Fuzzy Inference System and PID
Ali Moltajaei Farid
2013-01-01
ANFIS is combining a neural network with a fuzzy system results in a hybrid neuro-fuzzy system, capable of reasoning and learning in an uncertain and imprecise environment. In this paper, an adaptive neuro-fuzzy inference system (ANFIS) is employed to control an unmanned aircraft vehicle (UAV). First, autopilots structure is defined, and then ANFIS controller is applied, to control UAVs lateral position. The results of ANFIS and PID lateral controllers are compared, where it shows the two c...
Tuning of PID Controller for Time Delayed Process Using Particle Swarm Optimization
Neha Kundariya; Jyoti Ohri
2013-01-01
This paper proposes PID controller tuning for time delayed process using particle swarm optimization. There is a need to control the process with time delay in many industries. Presence of dead time in control system makes the system uncertain and gives large overshoot. When the time delay becomes longer compare to system time constant, or when the time delay varies, then control of such system becomes very difficult by classical tuning method. However many tec...
Multi-stage fuzzy PID power system automatic generation controller in deregulated environments
International Nuclear Information System (INIS)
In this paper, a multi-stage fuzzy proportional integral derivative (PID) type controller is proposed to solve the automatic generation control (AGC) problem in a deregulated power system that operates under deregulation based on the bilateral policy scheme. In each control area, the effects of the possible contracts are treated as a set of new input signals in a modified traditional dynamical model. The multi-stage controller uses the fuzzy switch to blend a proportional derivative (PD) fuzzy logic controller with an integral fuzzy logic input. The proposed controller operates on fuzzy values passing the consequence of a prior stage on to the next stage as fact. The salient advantage of this strategy is its high insensitivity to large load changes and disturbances in the presence of plant parameter variations and system nonlinearities. This newly developed strategy leads to a flexible controller with simple structure that is easy to implement, and therefore, it can be useful for the real world power systems. The proposed method is tested on a three area power system with different contracted scenarios under various operating conditions. The results of the proposed controller are compared with those of the classical fuzzy PID type controller and classical PID controller through some performance indices to illustrate its robust performance
Fuzzy Immune PID Control of Hydraulic System Based on PSO Algorithm
Ma Yu; Gu Lichen
2013-01-01
This paper takes the permanent magnet servo motor-driven hydraulic system as the research object. The hydraulic system power source uses servo motor instead of the original asynchronous motor, becoming a new energy-saving, fast response, and easy to realize closed-loop control hydraulic power systems. Aiming at variability of the load for the hydraulic system, immune algorithm is introduced to incremental PID controller and derive control law. Using fuzzy strategy approximating antibodies...
Design Controller for a Class of Nonlinear Pendulum Dynamical System
Mohamad Reza Rahimi Khoygani; Reza Ghasemi; Davoud Sanaei
2013-01-01
Designing proportional integral derivative (PID), Linear Quadratic Regulator (LQR), Fuzzy Logic Controller (FLC) and Self-Tuning Fuzzy PID (STFP) controller is used for nonlinear pendulum dynamic system in this paper.The promising performance of the proposed controllers investigates in simulation. The effectiveness, robustness against noise and the comparison of the controller methods for Nonlinear Pendulum Dynamical System are delivered in this paper.
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Noradin Ghadimi
2012-03-01
Full Text Available This study is aimed to introduce the new controller in order to control of output power of one of the most important types of distributed generation namely micro-turbine, during system load variations. Microturbine output power should be control against the load variations in island mode condition and a controller should be designed for this purpose. Here, the PID Controller is used which its coefficients are optimized based on particle swarm optimization algorithm. In order to use this algorithm, at first, problem is written as an optimization problem which includes the objective function and constraints, and then to achieve the most desirable controller, Particle Swarm Optimization (PSO method is applied to solve the problem. Simulation results are done for various loads in time domain, and the results show the efficiency of the proposed controller. Simulations show improved accuracy of the proposed controller performance to achieve this goal.
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I Made Ginarsa
2013-09-01
Full Text Available Chaos and voltage collapse occurred in critical power systems due to disturbing of energy. PID-SVC layered reccurrent neural network-based (LRN-based PID-SVC was proposed to solve this problem. A PID was used to control chaos and voltage collapse. Then, an SVC LRN-based to maintan the load voltage. By using the proposed controller, chaos and voltage collapse were able to suppress and maintain the load voltage around the setting value. Furthemore, the proposed controller gives better response than PI-SVC controller.
Research and Simulation Analysis of Car Following System Based Fuzzy PID Control
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Xiaoju Lu
2013-01-01
Full Text Available Fuzzy PID has advantages that do not need to make accurate mathematical model and has a strong capacity of resisting disturbance. Auto adaptive cruise control system has been researched and has been built into a model of simulation, which are based of Fuzzy PID algorithm within the tool of simulink in this study. The system which is based on simple longitudinal dynamics of vehicle takes advantage of the relation between driving force and velocity to solve the problem that following when the vehicle is driving. The advantage of the system has simple model that controls the velocity of following vehicle through only controlling driving force and the model is without relating braving and throttle of vehicle. The results of simulating demonstrates that following system which its inputs of controller are the error of distance and the relative velocity between leading car and following car has a quite good character of following, fast response and safety performance.
Three Phase Motor Centrifugal Machines Speed Control Using Pid Fuzzy Method
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Trio Yus Peristiaferi
2015-03-01
Full Text Available Induction motor speed settings are still done manually by changing the position of the shaft or the size of the puli engine centrifugal. This method resulted in an arrangement with the speed of the motor will be difficult to control as expected. Inappropriate speed settings can also lead to less sugar production results. It is therefore necessary to maintain the control method of motor speed when load is added while experiencing the process of starting, spinning and breaking. The controller that is used is the PID Fuzzy. In a using simulation and implementation of using controller PID Fuzzy having the averages error when processing starting, spinning and breaking a dising about 0.51 % and about 1.06 %. So this final project hoped can help increase the efficiency of the centrifugal on sugar factory machine.
HYBRID SYSTEM BASED FUZZY-PID CONTROL SCHEMES FOR UNPREDICTABLE PROCESS
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M.K. Tan
2011-07-01
Full Text Available In general, the primary aim of polymerization industry is to enhance the process operation in order to obtain high quality and purity product. However, a sudden and large amount of heat will be released rapidly during the mixing process of two reactants, i.e. phenol and formalin due to its exothermic behavior. The unpredictable heat will cause deviation of process temperature and hence affect the quality of the product. Therefore, it is vital to control the process temperature during the polymerization. In the modern industry, fuzzy logic is commonly used to auto-tune PID controller to control the process temperature. However, this method needs an experienced operator to fine tune the fuzzy membership function and universe of discourse via trial and error approach. Hence, the setting of fuzzy inference system might not be accurate due to the human errors. Besides that, control of the process can be challenging due to the rapid changes in the plant parameters which will increase the process complexity. This paper proposes an optimization scheme using hybrid of Q-learning (QL and genetic algorithm (GA to optimize the fuzzy membership function in order to allow the conventional fuzzy-PID controller to control the process temperature more effectively. The performances of the proposed optimization scheme are compared with the existing fuzzy-PID scheme. The results show that the proposed optimization scheme is able to control the process temperature more effectively even if disturbance is introduced.
Zhang, Shu; Taft, Cyrus W; Bentsman, Joseph; Hussey, Aaron; Petrus, Bryan
2012-09-01
Tuning a complex multi-loop PID based control system requires considerable experience. In today's power industry the number of available qualified tuners is dwindling and there is a great need for better tuning tools to maintain and improve the performance of complex multivariable processes. Multi-loop PID tuning is the procedure for the online tuning of a cluster of PID controllers operating in a closed loop with a multivariable process. This paper presents the first application of the simultaneous tuning technique to the multi-input-multi-output (MIMO) PID based nonlinear controller in the power plant control context, with the closed-loop system consisting of a MIMO nonlinear boiler/turbine model and a nonlinear cluster of six PID-type controllers. Although simplified, the dynamics and cross-coupling of the process and the PID cluster are similar to those used in a real power plant. The particular technique selected, iterative feedback tuning (IFT), utilizes the linearized version of the PID cluster for signal conditioning, but the data collection and tuning is carried out on the full nonlinear closed-loop system. Based on the figure of merit for the control system performance, the IFT is shown to deliver performance favorably comparable to that attained through the empirical tuning carried out by an experienced control engineer. PMID:22633781
Modeling and Fuzzy Adaptive PID Control of a New Hydraulic Erecting Mechanism
Jian Xie; Liang Li; Wei Li
2013-01-01
To overcome the nonlinearity and solve the cooperation problem between erect cylinder and horizontal cylinder of a new hydraulic erecting mechanism, the combined simulation model is built based on AMESim/Simulink.The best cooperation time bteween erect cylinder and horizontal cylinder is confirmed. Further, the fuzzy adaptive PID controller is introduced to improve the control performance aiming to nonlinearity exist in the erecting mechanism.
MPC-based auto-tuned PID controller for the steam generator water level
International Nuclear Information System (INIS)
In this work, proportional-integral-derivative (PID) control gains are automatically tuned by using a model predictive control (MPC) method. The MPC has received much attention as a powerful tool for the control of industrial process systems. An MPC-based PID controller can be derived from the second order linear model of a process. The steam generator is usually described by the well-known 4th order linear model which consists of the mass capacity, reverse dynamics and mechanical oscillations terms. But the important terms in this linear model are the mass capacity and reverse dynamics terms, both of which can be described by a 2nd order linear system. The proposed auto-tuned PID controller was applied to a linear model of steam generators. The parameters of a linear model for steam generators are very different according to the power levels. The proposed controller showed good performance for the water level deviation and sudden steam flow disturbances that are typical in the existing power plants by changing only the input-weighting factor according to the power level
Scientific Electronic Library Online (English)
José Rubén, Lagunas-Jiménez; Víctor, Moo-Yam; Benjamín, Ortíz-Moctezuma.
2014-06-01
Full Text Available En este artículos e presenta una metodología de diseño de controladores PID (Proporcional, Integral y Derivativo), de dos grados de libertad mediante el planteamiento de un problema de optimización multiobjetivo. Las funciones objetivo propuestas consideran entre otros: respuesta de referencia al es [...] calón, perturbación de carga y robustez ante incertidumbre en el modelado. También se incluye un filtro para minimizar el ruido de medición y la constante de tiempo se incluye en el vector de variables de decisión. El problema de optimización se resuelve con un algoritmo genético. Abstract in english In this paper, a design methodology for a proportional integral derivative (PID) control design is presented by means of the statement of a multiobjective optimization problem (MOP). Two-degrees-of-freedom controller (PID-ISA) is used. The objective functions are deployed considering a set point res [...] ponse, load disturbances and robustness to model uncertainty as its components. The time constant of measurement noise filter is a component of the vector of decision variables. The optimization problem is solved by means of a genetic algorithm.
Energy Technology Data Exchange (ETDEWEB)
Palomares Gonzalez, Daniel; Garcia Mendoza, Raul [Instituto de Investigaciones Electricas, Cuernavaca (Mexico)
1990-12-31
A description is made of the design and evaluation of an hybrid control system, formed by a quadratic gaussian linear regulator (QLR) and proportional integral derivative (PID) type regulators. This scheme is used to control the reheater and secondary superheater steam temperatures of a steam generator model with a maximum capacity of 2,150,000 pounds per hour. Once applied to the model of a 300 MW steam power plant, this system showed better results than the traditional schemes and inclusively better than some modern control schemes. This fact characterizes it as a high potential system to be applied to steam power plants. [Espanol] Se describe el diseno y la evaluacion de un sistema de control hibrido, formado por un regulador lineal cuadratico gaussiano (RLC) y reguladores tipo proporcional integral derivativo (PID). Este esquema se utiliza para controlar las temperaturas de vapor del recalentador y sobrecalentador secundario del modelo de un generador de vapor con capacidad maxima de 2,150,000 libras por hora. Una vez aplicado al modelo de una unidad termoelectrica de 300 MW, este sistema produjo mejores resultados que los esquemas tradicionales e incluso mejores que algunos esquemas de control moderno. Esto lo caracteriza como un sistema con un alto potencial para aplicarse a unidades termoelectricas.
Made Ginarsa, I.; Agung Budi Muljono; Made Ari Nrartha, I.
2013-01-01
Chaos and voltage collapse occurred in critical power systems due to disturbing of energy. PID-SVC layered reccurrent neural network-based (LRN-based PID-SVC) was proposed to solve this problem. A PID was used to control chaos and voltage collapse. Then, an SVC LRN-based to maintan the load voltage. By using the proposed controller, chaos and voltage collapse were able to suppress and maintain the load voltage around the setting value. Furthemore, the proposed controller gives better response...
Directory of Open Access Journals (Sweden)
Noradin Ghadimi
2012-03-01
Full Text Available The ever increasing energy demand, along with the necessity of cost reduction and higher reliability requirements, are driving the modern power systems towards Distributed Generation (DG as an alternative to the expansion of the current energy distribution systems. This paper is aimed to introduce the new controller in order to control of output power of one of the most important types of distributed generation namely microturbine, during system load variations. Micro-turbine output power should be control against the load variations in island mode condition and a controller should be designed for this purpose. Here, the PID Controller is used which its coefficients are optimized based on Genetic Algorithm. Simulation results are done for various loads in time domain, and the results show the efficiency of the proposed controller.
ANN Based PID Controlled Brushless DC drive System
Ganesh, C.; Prabhu, M.; Rajalakshmi, M.; Sumathi, G.; Bhola, Virender; Patnaik, S. K.
2012-01-01
Brushless (BLDC) DC motors find many industrial applications such as process control, robotics, automation, aerospace etc. Wider usage of this system has demanded an optimum position control for high efficiency, accuracy and reliability. Hence for the effective position control, estimation of dynamic load parameters i.e. moment of inertia and friction coefficient is necessary. This paper incorporates the estimation of mechanical parameters such as moment of inertia and friction coefficient of...
Xia, Dunzhu; Kong, Lun; Hu, Yiwei; Ni, Peizhen
2015-02-01
We present a novel silicon microgyroscope (SMG) temperature prediction and control system in a narrow space. As the temperature of SMG is closely related to its drive mode frequency and driving voltage, a temperature prediction model can be established based on the BP neural network. The simulation results demonstrate that the established temperature prediction model can estimate the temperature in the range of ?40 to 60?°C with an error of less than ±0.05?°C. Then, a temperature control system based on the combination of fuzzy logic controller and the increment PID control method is proposed. The simulation results prove that the Fuzzy-PID controller has a smaller steady state error, less rise time and better robustness than the PID controller. This is validated by experimental results that show the Fuzzy-PID control method can achieve high precision in keeping the SMG temperature stable at 55?°C with an error of less than 0.2?°C. The scale factor can be stabilized at 8.7?mV/°/s with a temperature coefficient of 33?ppm?°C?1. ZRO (zero rate output) instability is decreased from 1.10°/s (9.5?mV) to 0.08°/s (0.7?mV) when the temperature control system is implemented over an ambient temperature range of ?40 to 60?°C.
HYBRID MODELING OF POWER PLANT AND CONTROLLING USING FUZZY P+ID WITH APPLICATION
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Hassen T. Dorrah
2012-07-01
Full Text Available This paper provides a method one can model manufacturing processes in hybrid systems framework utilizing simple bond graph to determine the flow of events and differential equation models that describe the system dynamics. Controlling of these systems can be easy to develop. “Modeling and Simulation of thermal Power generation Station for power control” will be presented by using hybrid bond graph approach. This work includes the structure and components of the thermal electrical power generation stations and the importance of hybrid bond graph to model and control complex hybrid system, controlling of power plant will be presented by using Fuzzy P+ID controller.
Regular self-oscillating and chaotic behaviour of a PID controlled gimbal suspension gyro
International Nuclear Information System (INIS)
The dynamics of a gyro in gimbal with a PID controller to obtain steady state, self-oscillating and chaotic motion is considered in this paper. The mathematical model of the whole system is deduced from the gyroscope nutation theory and from a feedback control system formed by a PID controller with constrained integral action. The paper shows that the gyro and the associated PID feedback control system have multiple equilibrium points, and from the analysis of a Poincare-Andronov-Hopf bifurcation at the equilibrium points, it is possible to deduce the conditions, which give regular and self-oscillating behaviour. The calculation of the first Lyapunov value is used to predict the motion of the gyro in order to obtain a desired equilibrium point or self-oscillating behaviour. The mechanism of the stability loss of the gyro under small vibrations of the gyro platform and the appearance of chaotic motion is also presented. Numerical simulations are performed to verify the analytical results
International Nuclear Information System (INIS)
Despite the popularity, the tuning aspect of proportional-integral-derivative (PID) controllers is a challenge for researchers and plant operators. Various controllers tuning methodologies have been proposed in the literature such as auto-tuning, self-tuning, pattern recognition, artificial intelligence, and optimization methods. Chaotic optimization algorithms as an emergent method of global optimization have attracted much attention in engineering applications. Chaotic optimization algorithms, which have the features of easy implementation, short execution time and robust mechanisms of escaping from local optimum, is a promising tool for engineering applications. In this paper, a tuning method for determining the parameters of PID control for an automatic regulator voltage (AVR) system using a chaotic optimization approach based on Lozi map is proposed. Since chaotic mapping enjoys certainty, ergodicity and the stochastic property, the proposed chaotic optimization introduces chaos mapping using Lozi map chaotic sequences which increases its convergence rate and resulting precision. Simulation results are promising and show the effectiveness of the proposed approach. Numerical simulations based on proposed PID control of an AVR system for nominal system parameters and step reference voltage input demonstrate the good performance of chaotic optimization.
Dong, Zhekang; Duan, Shukai; Hu, Xiaofang; Wang, Lidan; Li, Hai
2014-01-01
In this paper, we present an implementation scheme of memristor-based multilayer feedforward small-world neural network (MFSNN) inspirited by the lack of the hardware realization of the MFSNN on account of the need of a large number of electronic neurons and synapses. More specially, a mathematical closed-form charge-governed memristor model is presented with derivation procedures and the corresponding Simulink model is presented, which is an essential block for realizing the memristive synapse and the activation function in electronic neurons. Furthermore, we investigate a more intelligent memristive PID controller by incorporating the proposed MFSNN into intelligent PID control based on the advantages of the memristive MFSNN on computation speed and accuracy. Finally, numerical simulations have demonstrated the effectiveness of the proposed scheme. PMID:25202723
Immune algorithm based active PID control for structure systems
International Nuclear Information System (INIS)
An immune algorithm is a kind of evolutional computation strategies, which is developed in the basis of a real immune mechanism in the human body. Recently, scientific or engineering applications using this scheme are remarkably increased due to its significant ability in terms of adaptation and robustness for external disturbances. Particularly, this algorithm is efficient to search optimal parameters against complicated dynamic systems with uncertainty and perturbation. In this paper, we investigate an immune algorithm embedded Proportional Integral Derivate (called IPID) control, in which an optimal parameter vector of the controller is determined offline by using a cell-mediated immune response of the immunized mechanism. For evaluation, we apply the proposed control to mitigation of vibrations for nonlinear structural systems, cased by external environment load such as winds and earthquakes. Comparing to traditional controls under same simulation scenarios, we demonstrate the innovation control is superior especially in robustness aspect
AC/DC Converter AC Side Harmonic Wave Detection Based on Self-adaption Fuzzy PID Controlling
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Li Jia-Sheng
2014-01-01
Full Text Available As AC/DC converter is a non-linear and time varying uncertain system, it is hard to reach the ideal control effect if adopting the routine Proportional Integral Differential (PID control which is bad in dynamic property. A compound control scheme is proposed in this study which combines PID control and fuzzy self adaption. It takes error e and error variation ec as input and modifies PID parameter by using fuzzy control rule on line to satisfy the requirements of e and ec on PID parameter self tuning in different times. The experiment simulation indicates that the proposed scheme can minimize the AC side distortion factor and get better sine wave. Additionally, this scheme is simple, effective and practical in certain degree.
A novel multi-drive electric vehicle system control based on multi-input multi-output PID controller
Gasbaoui Brahim; Nasri Abdelfatah
2012-01-01
In-wheel-motor drive electric vehicle (EV) is an innovative configuration of the modern EV, in which each wheel is driven individually by an electric motor. The classical traction motor control called the Independent Machine Control Structure (IMCS) using a PID speed controller presents major inconveniences in modern EV safety, when the proposed control can not ensure stability of the EV with differing road topology and variations of speed. A new approach is proposed for a control of a ...
Control of a production-inventory system using a pid and demand prediction based controller
Scientific Electronic Library Online (English)
S., Tosetti; D., Patiño; F., Capraro; A., Gambier.
2009-10-01
Full Text Available The need of reducing inventory levels as much as possible without loosing sales opportunities is an important goal not only for small but also for mid-size and large companies, on account of the high costs associated with large inventory stocks. In general, the performance of inventory systems is al [...] so affected by the Bullwhip effect caused, among other factors, by non-zero lead times. This paper proposes an automatic pipeline feedback order-based production control system (APIOBPCS) considering a demand with cyclic and stochastic components. The dynamics and delays of the production process are modeled as a pure delay. The control system structure consists of a PID controller and demand prediction based on an Extended Kalman Filter (EKF). The main objective of the controller is to stabilize and regulate the inventory levels about a desired set-point. The extended Kalman Filter estimates the parameters of a Volterra time-series model to predict future values of the demand. The control system is evaluated by simulations, showing a good performance and better results than those achieved by using traditional inventory control techniques.
Performance Enhancement of a Dynamic System Using PID Controller Tuning Formulae
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Jyotiprakash Patra
2011-09-01
Full Text Available The proportional integral derivative (PID controller is the most dominant form of automatic controller in industrial use today. With this technique, it is necessary to adjust the controller parameters according to the nature of the process. Thus, for effective control of a HVDC system, for example, specific values need to be chosen for the P, I and D parameters, which will be different for the values required to control, for example, an induction motor drive. This tailoring of controller to process is known as controller tuning. Controller tuning is easily and effectively performed using tuning rules (i.e. formulae for controller tuning, based on process information. Such tuning rules allow the easy set up of controllers to achieve optimum performance at commissioning. Importantly, they allow ease of re -commissioning if the characteristics of the process change. The paper communicates the results of recent work in the collation of industry-relevant PI and PID controller tuning rules, which may be applied to a variety of applications in power electronics, machines and drives.
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DAHIYA, P.
2015-05-01
Full Text Available This paper presents the application of hybrid opposition based disruption operator in gravitational search algorithm (DOGSA to solve automatic generation control (AGC problem of four area hydro-thermal-gas interconnected power system. The proposed DOGSA approach combines the advantages of opposition based learning which enhances the speed of convergence and disruption operator which has the ability to further explore and exploit the search space of standard gravitational search algorithm (GSA. The addition of these two concepts to GSA increases its flexibility for solving the complex optimization problems. This paper addresses the design and performance analysis of DOGSA based proportional integral derivative (PID and fractional order proportional integral derivative (FOPID controllers for automatic generation control problem. The proposed approaches are demonstrated by comparing the results with the standard GSA, opposition learning based GSA (OGSA and disruption based GSA (DGSA. The sensitivity analysis is also carried out to study the robustness of DOGSA tuned controllers in order to accommodate variations in operating load conditions, tie-line synchronizing coefficient, time constants of governor and turbine. Further, the approaches are extended to a more realistic power system model by considering the physical constraints such as thermal turbine generation rate constraint, speed governor dead band and time delay.
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Silveira P. E.
2002-01-01
Full Text Available An Autonomous Mobile Robot battery driven, with two traction wheels and a steering wheel is being developed. This Robot central control is regulated by an IPC, which controls every function of security, steering, positioning localization and driving. Each traction wheel is operated by a DC motor with independent control system. This system is made up of a chopper, an encoder and a microcomputer. The IPC transmits the velocity values and acceleration ramp references to the PIC microcontrollers. As each traction wheel control is independent, it's possible to obtain different speed values for each wheel. This process facilities the direction and drive changes. Two different strategies for speed velocity control were implemented; one works with PID, and the other with fuzzy logic. There were no changes in circuits and feedback control, except for the PIC microcontroller software. Comparing the two different speed control strategies the results were equivalent. However, in relation to the development and implementation of these strategies, the difficulties were bigger to implement the PID control.
Scientific Electronic Library Online (English)
P. E., Silveira; R. de, Souza Jr.; V. M., Biazotto.
2002-05-01
Full Text Available An Autonomous Mobile Robot battery driven, with two traction wheels and a steering wheel is being developed. This Robot central control is regulated by an IPC, which controls every function of security, steering, positioning localization and driving. Each traction wheel is operated by a DC motor wit [...] h independent control system. This system is made up of a chopper, an encoder and a microcomputer. The IPC transmits the velocity values and acceleration ramp references to the PIC microcontrollers. As each traction wheel control is independent, it's possible to obtain different speed values for each wheel. This process facilities the direction and drive changes. Two different strategies for speed velocity control were implemented; one works with PID, and the other with fuzzy logic. There were no changes in circuits and feedback control, except for the PIC microcontroller software. Comparing the two different speed control strategies the results were equivalent. However, in relation to the development and implementation of these strategies, the difficulties were bigger to implement the PID control.
PID temperature controller and heating assembly for superheated liquid neutron sensor
International Nuclear Information System (INIS)
Superheated drop detector developed by DL, Jodhpur works on bubble chamber principle. Such type of detector for personal neutron dosimetry is commercially available. The above neutron dosimeter is temperature dependent and it is quite difficult to compensate for temperature in extreme environment. An attempt is made to develop a PID temperature controller along with heating assembly for neutron survey meter so as to cover the vide neutron energy response. The details of temperature controller circuit and heating assembly are highlighted in the present paper with the results obtained using R-114 sensor liquid. (author)
Self-Tuning PID controller for autonomous car tracking in urban traffic
Alonso, Luciano; Oria, Juan P.; Al-hadithi, Basil M.; Jime?nez Avello, Agusti?n
2013-01-01
In this paper an on line self-tuned PID controller is proposed for the control of a car whose goal is to follow another one, at distances and speeds typical in urban traffic. The bestknown tuning mechanism is perhaps the MIT rule, due to its ease of implementation. However, as it is well known, this method does not guarantee the stability of the system, providing good results only for constant or slowly varying reference signals and in the absence of noise, which are unrealistic conditions...
Saha, Suman; Das, Saptarshi; Das, Shantanu; Gupta, Amitava
2012-01-01
A novel conformal mapping based Fractional Order (FO) methodology is developed in this paper for tuning existing classical (Integer Order) Proportional Integral Derivative (PID) controllers especially for sluggish and oscillatory second order systems. The conventional pole placement tuning via Linear Quadratic Regulator (LQR) method is extended for open loop oscillatory systems as well. The locations of the open loop zeros of a fractional order PID (FOPID or PI{\\lambda}D{\\mu...
Genetics algorithms as a tuning tool for PID and sliding mode controllers
Scientific Electronic Library Online (English)
Juan C, Terán-Picón; José, Anderez; Oscar, Camacho.
2005-12-01
Full Text Available En este artículo los algoritmos genéticos se utilizan como una herramienta de búsqueda aleatoria de parámetros de sintonización de un controlador. El algoritmo funciona de tal manera que los nuevos parámetros de ajuste mejoran el desempeño del sistema de control. Dos casos de estudio son considerado [...] s: el primer caso es el controlador proporcional-integral-derivativo y el segundo caso de estudio es el controlador por modo deslizante. Los algoritmos son aplicados a partir de sintonizaciones iniciales, Ziegler y Nichols para la sintonización previa del PID, y las desarrolladas por Camacho para la sintonización inicial. Abstract in english In this paper, the genetic algorithms are used as a searching tool of the tuning parameters of a controller. The algorithm works such a way that the new tunings improve the performance of the control system. Two studied cases are considered: the first case is the proportional-integral-derivative con [...] troller and the second study case is the sliding mode controller. The algorithms are applied from initial tunings, such as Ziegler and Nichols for the PID controller and the obtained from Camacho for sliding mode controller.
PID-Type Fuzzy Control for Anti-Lock Brake Systems with Parameter Adaptation
Chen, Chih-Keng; Shih, Ming-Chang
In this research, a platform is built to accomplish a series of experiments to control the Antilock Brake System (ABS). A commercial ABS module controlled by a controller is installed and tested on the platform. The vehicle and tire models are deduced and simulated by a personal computer for real time control. An adaptive PID-type fuzzy control scheme is used. Two on-off conversion methods: pulse width modulation (PWM) and conditional on-off, are used to control the solenoid valves in the ABS module. With the pressure signal feedbacks in the caliper, vehicle dynamics and wheel speeds are computed during braking. Road surface conditions, vehicle weight and control schemes are varied in the experiments to study braking properties.
Reducing the energy consumption of an earth–air heat exchanger with a PID control system
International Nuclear Information System (INIS)
Highlights: • The application of control actions to green technologies has been simulated. • Energy consumption of green technologies can be reduced even more. • The efficiency of green technologies can be raised. • Environmental concerns can be diminished. • The sustainability of the planet can be increased. - Abstract: Reducing environmental emissions is one of the challenges that human being has to overcome. It can only be reached with a proper energetic efficiency and management of the processes that exist in the society nowadays. Several academic works have mentioned that raising the efficiency of a process it also increases sustainability and in turn decreases the environmental impact. One process that requires much attention is the cooling and heating of buildings; this process contributes to the major part of the electric bill, in particular, if a conventional and old air conditioning is used as commonly occurs in many countries. In recent years there have been developed new alternatives that are used in few countries, such as the earth–air heat exchanger, where air is passed through a heat exchanger buried a few meters below the ground. The heat exchanger takes advantage of the well-known difference between the temperature of the surrounding air and the temperature of the ground for cooling or heating the air that is subsequently injected into the buildings. This process requires less energy, then in the present work is thought that a PID (Proportional, Integral and Derivative) controller can be applied to an earth–air heat exchanger to reduce even more the energy consumption. Therefore, a simulation of a thermodynamic model of an earth–air heat exchanger was done and used along with a PID controller, to estimate savings in energy consumption. The results show that the energy consumption can be reduced up to 87% with the PID control, hence the efficiency of the process is increased as well as the sustainability of the planet and thus the environmental concerns are diminished
A novel multi-drive electric vehicle system control based on multi-input multi-output PID controller
Directory of Open Access Journals (Sweden)
Gasbaoui Brahim
2012-01-01
Full Text Available In-wheel-motor drive electric vehicle (EV is an innovative configuration of the modern EV, in which each wheel is driven individually by an electric motor. The classical traction motor control called the Independent Machine Control Structure (IMCS using a PID speed controller presents major inconveniences in modern EV safety, when the proposed control can not ensure stability of the EV with differing road topology and variations of speed. A new approach is proposed for a control of a two-in-wheel-motor drive EV, called the Maximum Control Structure MCS. This is based on a multivariable PID (MIMO-PID strategy, which is employed to estimate the linear speed error of each of the two back driving wheels, when the error of each wheel is taken into account in the other speed control computations. Simulation results show that the new control system presents increased safety for the EVs compared with the IMCS strategy and can maintain the error slip rate within the optimal range, ensuring the stability of the vehicle either in a straight or a curved line.
Photovoltaic System Regulation Based on a PID Fuzzy Controller to Ensure a Fixed Settling Time
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Paula A. Ortiz-Valencia
2013-11-01
Full Text Available The main objective of the controllers in photovoltaic systems (PV is to ensure the maximum extraction of the available power. Those controllers usually combine the action of a maximum power point tracking algorithm (MPPT with a voltage regulator, which has the function of rejecting disturbances at the panel terminals. Such controllers are commonly based on PI and PID structures, it requiring linearized models at an operating point. But, due to disturbances generated by the environment and the load, the operating point of the system changes drastically, which hinder to obtain the desired system performance. This paper proposes to regulate the PV system using a Fuzzy PID controller, which adapts to changes in solar irradiance and load oscillations. This characteristic guarantees a constant settling time, which is required to precisely define the period of the MPPT algorithm. In the case of classical linear controllers, the period of the MPPT algorithm is set to the worst case (longest period which generates additional power losses by slowing down the tracking of the optimal operating point. Therefore, the solution proposed in this paper improves the overall system efficiency. Finally, such a solution is validated through simulations in Matlab®.
Research on PID controller with input shaping algorithm for linear motor
Liu, Yang; Dong, Yue; Fan, Wenchao; Fu, Zhenxian
2015-02-01
The reticle stage of lithography is a high precision servo motion platform, which requires using macro movement of linear motor and micro movement of voice coil motor to realize an nm-level positioning precision and tracking. In order to increase the control effect and response speed of macro movement linear motor of reticle stage of lithography, the paper presents an efficient control for linear motor. The method use input shaping technique with Proportional Integral Derivative (PID) controller to realize the high position precision in small stetting time. In the paper we firstly build the linear motor mathematical modeling which is end to velocity loop or position loop. so that we mainly focus on the tracking of speed signal. Then a PID controller is introduced in the system, which is high frequency used in industrial control. Finally, as the need of high positioning precision and small stetting time, we apply input shaping algorithm to solve the problem. The simulation of the system is performed by using MATLAB/Simulation. The evaluation of the method is the performance of input tracking capability.
PSO-tuned PID controller for coupled tank system via priority-based fitness scheme
Jaafar, Hazriq Izzuan; Hussien, Sharifah Yuslinda Syed; Selamat, Nur Asmiza; Abidin, Amar Faiz Zainal; Aras, Mohd Shahrieel Mohd; Nasir, Mohamad Na'im Mohd; Bohari, Zul Hasrizal
2015-05-01
The industrial applications of Coupled Tank System (CTS) are widely used especially in chemical process industries. The overall process is require liquids to be pumped, stored in the tank and pumped again to another tank. Nevertheless, the level of liquid in tank need to be controlled and flow between two tanks must be regulated. This paper presents development of an optimal PID controller for controlling the desired liquid level of the CTS. Two method of Particle Swarm Optimization (PSO) algorithm will be tested in optimizing the PID controller parameters. These two methods of PSO are standard Particle Swarm Optimization (PSO) and Priority-based Fitness Scheme in Particle Swarm Optimization (PFPSO). Simulation is conducted within Matlab environment to verify the performance of the system in terms of settling time (Ts), steady state error (SSE) and overshoot (OS). It has been demonstrated that implementation of PSO via Priority-based Fitness Scheme (PFPSO) for this system is potential technique to control the desired liquid level and improve the system performances compared with standard PSO.
Scientific Electronic Library Online (English)
Juliana de S. G., Barros; Luiz A., Rossi; Karina, Sartor.
2015-05-01
Full Text Available O uso racional de energia elétrica em creches suínas pode ser viabilizado sem afetar o desempenho produtivo dos animais visando à sustentabilidade do setor razão por que o objetivo deste trabalho foi avaliar a eficiência de duas tecnologias de controle de temperatura em sistema de aquecimento resist [...] ivo em creche suína, no uso de energia elétrica e no ganho de peso dos leitões. Os sistemas avaliados foram: resistências elétricas suspensas com controle PID (proporcional, integral e derivativo) e resistências elétricas suspensas com termostato. O experimento foi realizado durante o período de inverno, entre maio e setembro de 2013. Os critérios de comparação foram: consumo de energia elétrica (kWh), consumo específico (kWh kg-1), custo específico (R$ kg-1), indicador de eficiência elétrica no aquecimento, ganho de peso (kg) e ganho de peso diário (kg d-1). O sistema de aquecimento com controlador PID, apesar de apresentar maior consumo médio, foi mais eficiente quanto ao uso de energia elétrica para produzir 1 kg de peso vivo (2,88 kWh kg-1), quanto ao custo específico (0,75 R$ kg-1) e quanto ao ganho de peso dos leitões (7,3 kg) em comparação com o sistema com termostato (3,98 kWh kg-1, 1,03 R$ kg-1 e 5,2 kg, respectivamente). Abstract in english The rational use of energy in swine nurseries can be made possible without affecting the productive performance of animals, aiming the sustainability of the sector. The objective of this study was to evaluate the efficiency of two technologies for temperature control of resistive heating system for [...] swine nursery on the use of electricity by the systems and on the weight gain of the piglets. The evaluated systems were: overhead electric heaters with PID (proportional, integral and derivative) control and suspended electric heaters with thermostat. The experiment was conducted during the winter period between May and September 2013. The comparison criteria were: electricity consumption (kWh), specific consumption (kWh kg-1), specific cost (R$ kg-1), indicator of electrical efficiency in heating, weight gain (kg) and daily weight gain (kg d-1). The heating system with PID controller, although showed a higher average consumption, was more efficient as the electricity used to produce 1 kg of body weight (2,88 kWh kg-1), as the specific cost (0,75 R$ kg-1) and for weight gain of piglets (7,3 kg) compared to the system with thermostat (3,98 kWh kg-1, 1,03 R$ kg-1 and 5,2 kg, respectively).
Implementation of ON/OFF and PID controller using TCP Protocol Based on Virtual Instrumentation
Directory of Open Access Journals (Sweden)
Abhyarthana Bisoyi , Umesh Chandra Pati
2013-03-01
Full Text Available LabVIEW(Laboratory Virtual InstrumentEngineering Workbenchisthe softwarewhichgives virtual existence ofhardware, reduces its costand hencetermed as Virtual Instrumentation.Thispaper deals with the implementation ofON/OFFand PID controller for controlling the temperatureof a heating element inside a wooden box with thehelp of LabVIEW. In this software,TransmissionControl Protocol (TCPis used for developing anonline transmission processbetween client andserver. Client has control overthe set point andServer has control over the temperature. Inhardware section, a DataAcquisition (DAQ cardreads temperature from sensor and delivers toServer. With the help of internet protocol,clientprovides the value ofset point according to whichthe control actions aretaken by the server.Thepaper also includes discussions regarding theadvantages and disadvantages of TCP/IP.
Persad, A; Chopda, V R; Rathore, A S; Gomes, J
2013-02-01
A decoupled input-output linearizing controller (DIOLC) was designed as an alternative advanced control strategy for controlling bioprocesses. Simulation studies of its implementation were carried out to control ethanol and biomass production in Saccharomyces cerevisiae and its performance was compared to that of a proportional-integral-derivative (PID) controller with parameters tuned according to a linear schedule. The overall performance of the DIOLC was better in the test experiments requiring the controllers to respond accurately to simultaneous changes in the trajectories of the substrate and dissolved oxygen concentration. It also exhibited better performance in perturbation experiments of the most significant parameters q (S,max), q (O2,max), and k ( s ), determined through a statistical design of experiments involving 730 simulations. DIOLC exhibited a superior ability of constraining the process when implemented in extreme metabolic regimes of high oxygen demand for maximizing biomass concentration and low oxygen demand for maximizing ethanol concentration. PMID:23306876
Non-parametric Tuning of PID Controllers A Modified Relay-Feedback-Test Approach
Boiko, Igor
2013-01-01
The relay feedback test (RFT) has become a popular and efficient tool used in process identification and automatic controller tuning. Non-parametric Tuning of PID Controllers couples new modifications of classical RFT with application-specific optimal tuning rules to form a non-parametric method of test-and-tuning. Test and tuning are coordinated through a set of common parameters so that a PID controller can obtain the desired gain or phase margins in a system exactly, even with unknown process dynamics. The concept of process-specific optimal tuning rules in the nonparametric setup, with corresponding tuning rules for flow, level pressure, and temperature control loops is presented in the text. Common problems of tuning accuracy based on parametric and non-parametric approaches are addressed. In addition, the text treats the parametric approach to tuning based on the modified RFT approach and the exact model of oscillations in the system under test using the locus of a perturbedrelay system (LPRS) meth...
Response to a Setpoint Change in PID Controlled Time-Delay Feedback Systems
Martelli, G
2007-01-01
The response to a setpoint change in PID controlled feedback systems plays an important role for the tuning methods. This response may be easily evaluated in linear systems without delay by solving the related ordinary differential equations. These equations are also obtained for system with delay, if the delay exponential term is approximated to a polynomial by one of the Pade expressions. If this simplification is avoided, one must deal with differential difference equations. In this paper their explicit solution, obtained with the method of steps, is presented. Moreover a second order equation is investigated as example and the complete set of the coefficients formulas is given.
A Simulation of the COMPASS Equilibrium Field Power Supply PID Controller.
Czech Academy of Sciences Publication Activity Database
Havlí?ek, Josef; Be?o, Radek; Stöckel, Jan
Prague : MATFYZPRESS, 2011 - (Šafránková, J.; Pavl?, J.), s. 221-226 ISBN 978-80-7378-185-9. - (WDS. 2). [WDS 2011 - Annual Conference of Doctoral Students /20./. Prague (CZ), 31.05.2011-03.06.2011] R&D Projects: GA ?R GAP205/11/2470; GA ?R GAP205/11/2341; GA MŠk 7G09042 Institutional research plan: CEZ:AV0Z20430508 Keywords : tokamak * Power Supply * COMPASS * PID controller Subject RIV: BL - Plasma and Gas Discharge Physics http://www.mff.cuni.cz/veda/konference/wds/proc/proc-contents.php?year=2011
Gyrotron Output Power Stabilization by PID Feedback Control of Heater Current and Anode Voltage
Khutoryan, E. M.; Idehara, T.; Kuleshov, A. N.; Ueda, K.
2014-12-01
To provide stable output power of a gyrotron during long operation time the power stabilization was achieved by two schemes with PID feedback control of heater current and anode voltage. It was based on the dependence of the output power on both the anode voltage and the beam current and also on the dependence of the beam current on the gun heater current. Both schemes provided decrease of the power standard deviation to 0.3-0.5%. The comparison between parameters of both schemes is discussed in the paper.
Calculation verification of startup method for density lock based on PID control
International Nuclear Information System (INIS)
For the Passive Residual Heat Removal System, basing on the self-equivalence startup process, and adding pump controlling system, the startup method for density lock based on PID control system is advanced, that is, after the valve in PRHRS opening, the pump speed is controlled basing on the temperature changing in density lock, and the cold-hot liquid interface is maintained in the density lock, which ensures the PRHRS depart from the primary loop. According to the one-dimensional equations, the controlling startup process for the density lock is numerically simulated, and it is shown that under the effect of controlling system, the pressure in two loops can become balance gradually to start up the density lock successfully by changing the primary loop flux. The method makes the restrictions less and successful ration bigger for density lock startup. (authors)
Stabilization loop of a two axes gimbal system using self-tuning PID type fuzzy controller.
Abdo, Maher Mahmoud; Vali, Ahmad Reza; Toloei, Ali Reza; Arvan, Mohammad Reza
2014-03-01
The application of inertial stabilization system is to stabilize the sensor's line of sight toward a target by isolating the sensor from the disturbances induced by the operating environment. The aim of this paper is to present two axes gimbal system. The gimbals torque relationships are derived using Lagrange equation considering the base angular motion and dynamic mass unbalance. The stabilization loops are constructed with cross coupling unit utilizing proposed fuzzy PID type controller. The overall control system is simulated and validated using MATLAB. Then, the performance of proposed controller is evaluated comparing with conventional PI controller in terms of transient response analysis and quantitative study of error analysis. The simulation results obtained in different conditions prove the efficiency of the proposed fuzzy controller which offers a better response than the classical one, and improves further the transient and steady-state performance. PMID:24461337
Computation of stabilizing PI and PID controllers by using Kronecker summation method
International Nuclear Information System (INIS)
In this paper, a new method for computation of all stabilizing PI controllers is given. The method is based on the plant model in time domain, and by using the extraordinary feature results from Kronecker sum operation, an explicit equation of control parameters defining the stability boundary in parametric space is obtained. Beyond stabilization, the method is used to shift all poles to a shifted half plane that guarantees a specified settling time of response. The stability regions of PID controllers are given in (kp, ki), (kp, kd) and (ki, kd) plane, respectively. The proposed method is also used to compute all the values of a PI controller stabilizing a control system with uncertain parameters. The proposed method is further extended to determine stability regions of uncertain coefficients of the system. Examples are given to show the benefits of the proposed method.
Hadi Razmi; Atabak Mashhadi Kashtiban
2012-01-01
An adaptive controller of nonlinear PID-based analog neural networks is developed for the point to point and orientation-tracking control of a two link rigid robot manipulator. In each case, the maximum load carrying capacity of robot manipulator subject to accuracy and actuators constraints is obtained. In comparison with conventional PID method, the use of neural network controller can increase maximum load carrying capacity of robot manipulators. A superb mixture of a conventional PID cont...
A PID Positioning Controller with a Curve Fitting Model Based on RFID Technology
Scientific Electronic Library Online (English)
Young-Long, Chen; Zhi-Rong, Chen.
2013-04-01
Full Text Available The global positioning system (GPS) is an important research topic to solve outdoor positioning problems, but GPS is unable to locate objects accurately and precisely indoors. Some available systems apply ultrasound or optical tracking. This paper presents an efficient proportional-integral-derivati [...] ve (PID) controller with curve fitting model for mobile robot localization and position estimation which adopts passive radio frequency identification (RFID) tags in a space. This scheme is based on a mobile robot carries an RFID reader module which reads the installed low-cost passive tags under the floor in a grid-like pattern. The PID controllers increase the efficiency of captured RFID tags and the curve fitting model is used to systematically identify the revolutions per minute (RPM) of the motor. We control and monitor the position of the robot from a remote location through a mobile phone via Wi-Fi and Bluetooth network. Experiment results present that the number of captured RFID tags of our proposed scheme outperforms that of the previous scheme.
Root Locus Based Autopilot PID’s Parameters Tuning for a Flying Wing Unmanned Aerial Vehicle
Directory of Open Access Journals (Sweden)
Fendy Santoso
2008-05-01
Full Text Available This paper depicts the applications of classical root locus based PID control to the longitudinal flight dynamics of a Flying Wing Unmanned Aerial Vehicle, P15035, developed by Monash Aerobotics Research Group in the Department of Electrical and Computer Systems Engineering, Monash University, Australia. The challenge associated with our UAV is related to the fact that all of its motions and attitude variables are controlled by two independently actuated ailerons, namely elevons, as its primary control surfaces along with throttle, in contrast to most conventional aircraft which have rudder, aileron and elevator. The reason to choose PID control is mainly due to its simplicity and availability. Since our current autopilot, MP2028, only provides PID control law for its flight control, our design result can be implemented straight away for PID parameters’ tuning and practical flight controls. Simulations indicate that a well-tuned PID autopilot has successfully demonstrated acceptable closed loop performances for both pitch and altitude loops. In general, full PID control configuration is the recommended control mode to overcome the adverse impact of disturbances. Moreover, by utilising this control scheme, overshoots have been successfully suppressed into a certain reasonable level. Furthermore, it has been proven that exact pole-zero cancellations by employing Derivative control configuration in both pitch and altitude loop to eliminate the effects of integral action contributed by open loop transfer function of elevon-average-to- pitch as well as pitch- to- pitch- rate is impractical.
A PID Positioning Controller with a Curve Fitting Model Based on RFID Technology
Directory of Open Access Journals (Sweden)
Young-Long Chen
2013-03-01
Full Text Available The global positioning system (GPS is an important research topic to solve outdoor positioning problems, but GPSis unable to locate objects accurately and precisely indoors. Some available systems apply ultrasound or opticaltracking. This paper presents an efficient proportional-integral-derivative (PID controller with curve fitting model formobile robot localization and position estimation which adopts passive radio frequency identification (RFID tags ina space. This scheme is based on a mobile robot carries an RFID reader module which reads the installed low-costpassive tags under the floor in a grid-like pattern. The PID controllers increase the efficiency of captured RFID tagsand the curve fitting model is used to systematically identify the revolutions per minute (RPM of the motor. Wecontrol and monitor the position of the robot from a remote location through a mobile phone via Wi-Fi and Bluetoothnetwork. Experiment results present that the number of captured RFID tags of our proposed scheme outperformsthat of the previous scheme.
Das, Saptarshi; Pan, Indranil; Das, Shantanu; Gupta, Amitava
2012-03-01
Genetic algorithm (GA) has been used in this study for a new approach of suboptimal model reduction in the Nyquist plane and optimal time domain tuning of proportional-integral-derivative (PID) and fractional-order (FO) PI(?)D(?) controllers. Simulation studies show that the new Nyquist-based model reduction technique outperforms the conventional H(2)-norm-based reduced parameter modeling technique. With the tuned controller parameters and reduced-order model parameter dataset, optimum tuning rules have been developed with a test-bench of higher-order processes via genetic programming (GP). The GP performs a symbolic regression on the reduced process parameters to evolve a tuning rule which provides the best analytical expression to map the data. The tuning rules are developed for a minimum time domain integral performance index described by a weighted sum of error index and controller effort. From the reported Pareto optimal front of the GP-based optimal rule extraction technique, a trade-off can be made between the complexity of the tuning formulae and the control performance. The efficacy of the single-gene and multi-gene GP-based tuning rules has been compared with the original GA-based control performance for the PID and PI(?)D(?) controllers, handling four different classes of representative higher-order processes. These rules are very useful for process control engineers, as they inherit the power of the GA-based tuning methodology, but can be easily calculated without the requirement for running the computationally intensive GA every time. Three-dimensional plots of the required variation in PID/fractional-order PID (FOPID) controller parameters with reduced process parameters have been shown as a guideline for the operator. Parametric robustness of the reported GP-based tuning rules has also been shown with credible simulation examples. PMID:22036301
The design of the MISO Model Predictive Controller for Bioreactor
Huang, Dong; Zhang, Jun; Huang, Xing; Fan, Liping
2012-01-01
Bioprocesses have the inherent characteristics of high nonlinearity, parameter uncertainty and information imperfection. These specific natures may cause some difficulties in control. Jacobian linearization method was used in this paper to linearize the bioreactor model firstly, and then a Multiple-input and single output (MISO) model predictive controller was designed for the reactor. PID controller and fuzzy-PID controller was also introduced to compare with the MPC controller. Simulation r...
Scientific Electronic Library Online (English)
Emil, Hernández-Arroyo; Jorge Luis, Díaz-Rodríguez; Omar, Pinzón-Ardila.
2014-07-01
Full Text Available Apresenta um estudo comparativo entre o Controle Preditivo baseado no Modelo [MPC] e no controle PID, numa usina piloto de temperatura. Encontrou-se que o controle MPC apresenta melhor comportamento, com um tempo de assentamento de 1000 segundos e uma sobreelongação de 5 °C, e que o PID apresenta um [...] tempo de assentamento de 2000 segundos e uma sobreelongação de 40°C. Simultaneamente, se apresenta uma forma alternativa para controlar e monitorar em tempo real a variável temperatura; para isso se dispõe de um computador que utiliza o software MATLAB 7.1 e a ferramenta Real-Time Windows Target. Abstract in spanish Presenta un estudio comparativo entre el Control Predictivo basado en el Modelo [MPC] y el control PID, en una planta piloto de temperatura. Se encontró que el control MPC presenta mejor comportamiento, con un tiempo de asentamiento de 1000 segundos y una sobre-elongación de 5 °C, y que el PID prese [...] nta un tiempo de asentamiento de 2000 segundos y una sobre-elongación de 40 °C. Simultáneamente, se presenta una forma alternativa para controlar y monitorear en tiempo real la variable temperatura; para ello se dispone de un computador de escritorio que utiliza el software MATLAB 7.1 y la herramienta Real-Time Windows Target. Abstract in english This project aims to conduct a comparative study of the Model Predictive Control [MPC] and the classical controller PID, over a pilot temperature plant. From the experimental results, was found that MPC has better behavior with a assessment time of 1000 seconds and a over shoot of 5°C, the assessmen [...] t time of PID control was 2000 seconds and over shoot of 40 °C. At the same time an alternative way was presented to controlling and monitoring in real time the temperature variable and is available desktop computer using the software tool MATLAB 7.1 and Real-Time Windows Target.
Study of Constant Voltage Control on Small Steam Generator Based on PID Algorithm
Directory of Open Access Journals (Sweden)
Yanjun Xiao
2014-03-01
Full Text Available The object of this study is a kind of 3 kW small steam generator, which can recover waste heat through making use of 0.1~0.3 MPa steam. This can exploit secondary energy efficiently. The electricity generated can be commonly used as factory lighting, heating, fan and emergency power supply. But the generation voltage of the existed steam turbine is instable, especially when the steam pressure and the load of the generator changes suddenly. This can pose a threat to electrical safety and greatly limit the market of small steam generator. In this study, PID control algorithm is used to control the amount of steam into the turbine of generator system. And the closed-loop control system can make a real-time feedback regulation to the steam, so that the generator voltage can be stable. The user's electrical safety requirements are satisfied as well.
Wang, Yuan-Jay
2014-03-01
This paper proposes a novel alternative method to graphically compute all feasible gain and phase margin specifications-oriented robust PID controllers for open-loop unstable plus time delay (OLUPTD) processes. This method is applicable to general OLUPTD processes without constraint on system order. To retain robustness for OLUPTD processes subject to positive or negative gain variations, the downward gain margin (GM(down)), upward gain margin (GM(up)), and phase margin (PM) are considered. A virtual gain-phase margin tester compensator is incorporated to guarantee the concerned system satisfies certain robust safety margins. In addition, the stability equation method and the parameter plane method are exploited to portray the stability boundary and the constant gain margin (GM) boundary as well as the constant PM boundary. The overlapping region of these boundaries is graphically determined and denotes the GM and PM specifications-oriented region (GPMSOR). Alternatively, the GPMSOR characterizes all feasible robust PID controllers which achieve the pre-specified safety margins. In particular, to achieve optimal gain tuning, the controller gains are searched within the GPMSOR to minimize the integral of the absolute error (IAE) or the integral of the squared error (ISE) performance criterion. Thus, an optimal PID controller gain set is successfully found within the GPMSOR and guarantees the OLUPTD processes with a pre-specified GM and PM as well as a minimum IAE or ISE. Consequently, both robustness and performance can be simultaneously assured. Further, the design procedures are summarized as an algorithm to help rapidly locate the GPMSOR and search an optimal PID gain set. Finally, three highly cited examples are provided to illustrate the design process and to demonstrate the effectiveness of the proposed method. PMID:24462232
Modelling and Controller Design of Inverted Pendulum
Directory of Open Access Journals (Sweden)
Mr.Pankaj Kumar,Mr. KunalChakraborty,Mr. RabiRanjan Mukherjee,Mr.SuvobratraMukherjee
2013-01-01
Full Text Available In this paper modeling of an inverted pendulum has been done and then three different controllers (PID& SFB, LQR have been used for stabilization of the pendulum. The proposed system extends classical invertedpendulum by incorporating two moving masses. The motion of two masses that slide along the horizontal plane iscontrollable .The results of computer simulation for the system with Proportional, Integral and Derivative (PID &State Feedback Controllers are shown. Main focus is to derive the mathematical model and the analysis of itssystem performance, then design a LQR controller in order to get better control.
Non-Contact Linear Actuator Position Sensor Having a PID-Compensating Controller
Alhorn, Dean C. (Inventor); Howard, David E. (Inventor)
2001-01-01
A position sensor or controller generates a response signal in existing armature windings of an actuator and detects the response signal to determine the position of the armature. To generate the response signal, the actuator includes a sensor excitation winding near the armature. Two sensor excitation windings can be provided, above and below the armature, to cancel out z components and thus allow for a variable gap. The sensor excitation winding or windings are supplied with an excitation signal to induce the response signal in the armature windings. The response signal is derived by differentially amplifying and frequency filtering a raw output of the armature windings. The response signal is demodulated to determine position. If a position controller rather than a mere sensor is desired, the position signal can be buffered, PID compensated, amplified, and fed back to the armature windings.
Optimal Self-Tuning PID Controller Based on Low Power Consumption for a Server Fan Cooling System.
Lee, Chengming; Chen, Rongshun
2015-01-01
Recently, saving the cooling power in servers by controlling the fan speed has attracted considerable attention because of the increasing demand for high-density servers. This paper presents an optimal self-tuning proportional-integral-derivative (PID) controller, combining a PID neural network (PIDNN) with fan-power-based optimization in the transient-state temperature response in the time domain, for a server fan cooling system. Because the thermal model of the cooling system is nonlinear and complex, a server mockup system simulating a 1U rack server was constructed and a fan power model was created using a third-order nonlinear curve fit to determine the cooling power consumption by the fan speed control. PIDNN with a time domain criterion is used to tune all online and optimized PID gains. The proposed controller was validated through experiments of step response when the server operated from the low to high power state. The results show that up to 14% of a server's fan cooling power can be saved if the fan control permits a slight temperature response overshoot in the electronic components, which may provide a time-saving strategy for tuning the PID controller to control the server fan speed during low fan power consumption. PMID:26007725
Optimal PD/PID control of smart base isolated buildings equipped with piezoelectric friction dampers
Etedali, Sadegh; Sohrabi, Mohammad Reza; Tavakoli, Saeed
2013-03-01
Long-period pulses in near-field earthquakes lead to large displacements in the base of isolated structures. To dissipate energy in isolated structures using semi-active control, piezoelectric friction dampers (PFD) can be employed. The performance of a PFD is highly dependent on the strategy applied to adjust its contact force. In this paper, the seismic control of a benchmark isolated building equipped with PFD using PD/PID controllers is developed. Using genetic algorithms, these controllers are optimized to create a balance between the performance and robustness of the closed-loop structural system. One advantage of this technique is that the controller forces can easily be estimated. In addition, the structure is equipped with only a single sensor at the base floor to measure the base displacement. Considering seven pairs of earthquakes and nine performance indices, the performance of the closed-loop system is evaluated. Then, the results are compared with those given by two well-known methods: the maximum possive operation of piezoelectric friction dampers and LQG controllers. The simulation results show that the proposed controllers perform better than the others in terms of simultaneous reduction of floor acceleration and maximum displacement of the isolator. Moreover, they are able to reduce the displacement of the isolator systems for different earthquakes without losing the advantages of isolation.
Scientific Electronic Library Online (English)
David A, Márquez; Oscar O, Cárdenas.
Full Text Available El objetivo del trabajo es desarrollar un instrumento didáctico, que permita introducir variaciones de los parámetros del controlador para visualizar la influencia que tienen en la estabilidad de los procesos, con la finalidad de impartir enseñanza del control de procesos haciendo uso del computador [...] . En los casos estudiados se fijan primero los valores de los parámetros y luego se deja libertad de insertarlos tanto en el controlador como en el proceso para analizar sus efectos. Las pruebas realizadas visualizan las ventajas y desventajas que el empleo de este tipo de controlador tiene para un proceso en particular. La experiencia obtenida con los estudiantes fue satisfactoria, logrando que los conceptos estudiados quedaran claros, en particular el tipo de variación a realizar en los parámetros del controlador para obtener mejor estabilidad de un sistema de control. Abstract in english The objective of this work is to develop a teaching tool, which allows variations in the parameters of the controller to see the influence they have on the stability of this process, with the aim of teaching process control using the computer. In the cases studied the values of the parameters were f [...] irst fixed and then the students are allowed to change them both in the controller and in the process, to analyze their effects. The tests conducted showed the advantages and disadvantages of the use of this type of controller in a particular process. The experience gained with the students was satisfactory and the concepts were well understood by the students, in particular the type of changes that need to be introduced to reach stability of the control system.
Status of LHD control system design
International Nuclear Information System (INIS)
The present status of LHD (Large Helical Device) control system design is described, emphasizing on the plasma operation modes, the architecture of the LHD control system, the real-time plasma feedback system with PID or Fuzzy controllers and the construction schedule of the LHD control system. The conceptual and designs are under way taking flexible and reliable operations for physics experiments into account. (author)
Directory of Open Access Journals (Sweden)
Eric S. Sanches
2014-10-01
Full Text Available Three speed controllers for an axial magnetic flux switched reluctance motor with only one stator, are described and experimentally tested. As it is known, when current pulses are imposed in their windings, high ripple torque is obtained. In order to reduce this ripple, a control strategy with modified current shapes is proposed. A workbench consisting of a machine prototype and the control system based on a microcontroller was built. These controllers were: a conventional PID, a fuzzy logic PID and a neural PID type. From experimental results, the effective reduction of the torque ripple was confirmed and the performance of the controllers was compared.
Scientific Electronic Library Online (English)
Ilber Adonayt, Ruge Ruge.
2011-12-01
Full Text Available El presente artículo muestra al lector los métodos de sintonización de controladores PID Kayser-Rajka (KR) y Astrom-Haglund (AH), con el ánimo de evaluar su desempeño frente a algunos métodos convencionales de sintonización como Ziegler-Nichols (ZN). Además, se muestra el método de mejoramiento de l [...] a señal de control basado en la arquitectura Antireset Wind-Up. Abstract in english This paper shows the reader the methods of tuning PID controllers Kayser-Rajka (KR) and Astrom-Haglund (AH), with the aim of evaluating their performance against some conventional methods like Ziegler-Nichols tuning (ZN). It also shows the method for improving the control signal based on the archite [...] cture Antireset Wind-Up.
Pe?rez Polo, Manuel; Pe?rez Molina, Manuel; Gil Chica, Francisco Javier; Berna? Galiano, Jose? A?ngel
2014-01-01
In this paper we investigate the stability and the onset of chaotic oscillations around the pointing-up position for a simple inverted pendulum that is driven by a control torque and is harmonically excited in the vertical and horizontal directions. The driven control torque is defined as a proportional plus integral plus derivative (PID) control of the deviation angle with respect to the pointing-down equilibrium position. The parameters of the PID controller are tuned by using the Routh cri...
PID control of brushless DC motor and robot trajectory planning simulation with MATLAB®/SIMULINK®
Oguntoyinbo, Oludayo
2009-01-01
This report presents a PID model of a brushless dc (BLDC) motor and a robot trajectory planning and simulation. A short description of the brushless dc motor is given. For this work, mathematical models were developed and subsequently used in getting the simulation parameters. The PID model is accomplished with the use of MATLAB®/SIMULINK®. The operational parameters of the specific BLDC motor were modelled using the tuning methods which are used to develop subsequent simulations. The best ...
Vibration Control of Bus Suspension System using PI and PID Controller
Swati Gaur
2013-01-01
This paper presents the application of PI and PIDcontroller to control the vibration occurred in the bus suspensionsystem. When the suspension system is designed, a ¼ model ofbus is used to simplify the problem to a one dimensional massspring-damper system. Its open-loop performance on the basis oftime response is observed which depicts that the bus suspensionhas oscillations with large settling time. To overcome thisproblem, closed-loop system is used. Despite continuousadvancement in contr...
Shabani, Hamed; Vahidi, Behrooz; Ebrahimpour, Majid
2013-01-01
A new PID controller for resistant differential control against load disturbance is introduced that can be used for load frequency control (LFC) application. Parameters of the controller have been specified by using imperialist competitive algorithm (ICA). Load disturbance, which is due to continuous and rapid changes of small loads, is always a problem for load frequency control of power systems. This paper introduces a new method to overcome this problem that is based on filtering technique which eliminates the effect of this kind of disturbance. The object is frequency regulation in each area of the power system and decreasing of power transfer between control areas, so the parameters of the proposed controller have been specified in a wide range of load changes by means of ICA to achieve the best dynamic response of frequency. To evaluate the effectiveness of the proposed controller, a three-area power system is simulated in MATLAB/SIMULINK. Each area has different generation units, so utilizes controllers with different parameters. Finally a comparison between the proposed controller and two other prevalent PI controllers, optimized by GA and Neural Networks, has been done which represents advantages of this controller over others. PMID:23084664
Directory of Open Access Journals (Sweden)
Dr. Dipak Ranjan Jana
2011-11-01
Full Text Available All the industrial process applications require solutions of a specific chemical strength of the chemicals or fluids considered for analysis. Such specific concentrations are achieved by mixing a full strength solution with water in the desired proportions. In this paper the control of concentration of one chemical with the help of other has been analyzed. This paper features the auto tuning technique of PID controller and is adopted for more reliable and robust control action considering uncertainty in the form of disturbance and load. In this paper, the comparison of the conventional PID and auto tuning is clarified.
Design Intelligent Model-free Hybrid Guidance Controller for Three Dimension Motor
Directory of Open Access Journals (Sweden)
Abdol Majid Mirshekaran
2014-10-01
Full Text Available The minimum rule base Proportional Integral Derivative (PID Fuzzy hybrid guidance Controller for three dimensions spherical motor is presented in this research. A three dimensions spherical motor is well equipped with conventional control techniques and, in particular, various PID controllers which demonstrate a good performance and successfully solve different guidance problems. Guidance control in a three dimensions spherical motor is performed by the PID controllers producing the control signals which are applied to systems torque. The necessary reference inputs for a PID controller are usually supplied by the system's sensors based on different data. The popularity of PID Fuzzy hybrid guidance Controller can be attributed to their robust performance in a wide range of operating conditions and partly to their functional simplicity. PID methodology has three inputs and if any input is described with seven linguistic values, and any rule has three conditions we will need 343 rules. It is too much work to write 343 rules. In this research the PID-like fuzzy controller can be constructed as a parallel structure of a PD-like fuzzy controller and a conventional PI controller to have the minimum rule base. Linear type PID controller is used to modify PID fuzzy logic theory to design hybrid guidance methodology. This research is used to reduce or eliminate the fuzzy and conventional PID controller problem based on minimum rule base fuzzy logic theory and modified it by PID method to control of spherical motor system and testing of the quality of process control in the simulation environment of MATLAB/SIMULINK Simulator.
Chen, Zhihuan; Yuan, Yanbin; Yuan, Xiaohui; Huang, Yuehua; Li, Xianshan; Li, Wenwu
2015-05-01
A hydraulic turbine regulating system (HTRS) is one of the most important components of hydropower plant, which plays a key role in maintaining safety, stability and economical operation of hydro-electrical installations. At present, the conventional PID controller is widely applied in the HTRS system for its practicability and robustness, and the primary problem with respect to this control law is how to optimally tune the parameters, i.e. the determination of PID controller gains for satisfactory performance. In this paper, a kind of multi-objective evolutionary algorithms, named adaptive grid particle swarm optimization (AGPSO) is applied to solve the PID gains tuning problem of the HTRS system. This newly AGPSO optimized method, which differs from a traditional one-single objective optimization method, is designed to take care of settling time and overshoot level simultaneously, in which a set of non-inferior alternatives solutions (i.e. Pareto solution) is generated. Furthermore, a fuzzy-based membership value assignment method is employed to choose the best compromise solution from the obtained Pareto set. An illustrative example associated with the best compromise solution for parameter tuning of the nonlinear HTRS system is introduced to verify the feasibility and the effectiveness of the proposed AGPSO-based optimization approach, as compared with two another prominent multi-objective algorithms, i.e. Non-dominated Sorting Genetic Algorithm II (NSGAII) and Strength Pareto Evolutionary Algorithm II (SPEAII), for the quality and diversity of obtained Pareto solutions set. Consequently, simulation results show that this AGPSO optimized approach outperforms than compared methods with higher efficiency and better quality no matter whether the HTRS system works under unload or load conditions. PMID:25481821
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Safaa M. Z. Al-Ubaidi
2012-06-01
Full Text Available This paper presents an implementation of conventional PID (CPID controller using Ziegler-Nichols rules and fuzzy PD (FPD controller for position servo motor control based on Lab View (Laboratory Virtual Instrument Engineering Workbench Environment through Data Acquisition (DAQ Device PCI- 6521 of National Instrument's and Data Acquisition Accessory Board Model (CB-68LP.CPID controller is perhaps the most well-known and most widely used in industrial applications. However, it has been known that CPID controller generally don’t work well for non-linear systems, higher order and time-delayed linear system and particularly complex and vague system. To overcome these difficulties, this paper proposes to use the FPD controller for a servo motor system instead of CPID. The parameters of servo motor used are completely unknown. The FPD structure has two-input single-output and fairly similar characteristic to its conventional counterpart and provides good performance. Simple rules base are used for FPD (nine rules only. Performance evaluation was carried out via a comparison study for the proposed control scheme and other existing control scheme, such as CPID controller. The critical point for this experiment on position system is a steady state error and settling time. The performance showing that the FPD has less settling time and zero steady state error over its CPID. The algorithms of FPD and CPID controllers are implemented using PID, Fuzzy Logic and simulation toolkits of the Lab View environment.
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Dedid Cahya Happyanto
2012-05-01
Full Text Available Driving system of electric car for low speed has a performance of controller that is not easily set up on large span so it does not give a comfort to passengers. The study has been tested in the bumpy road conditions, by providing disturbances in the motor load, it is to describe the condition of the road. To improve the system performance, the speed and torque controller was applied using Field Oriented Control (FOC method. In this method, On-Line Proportional Integral Derivative Fuzzy Logic Controller (PID-FLC is used to give dynamic response to the change of speed and maximum torque on the electric car and this results the smooth movement on every change of car performance both in fast and slow movement when breaking action is taken. Optimization of membership functions in Fuzzy PID controller is required to obtain a new PID parameter values which is done in autotuning in any changes of the input or disturbance. PID parameter tuning in this case using the Ziegler-Nichols method based on frequency response. The mechanism is done by adjusting the PID parameters and the strengthening of the system output. The test results show that the controller Fuzzy Self-Tuning PID appropriate for Electric cars because they have a good response about 0.85% overshoot at to changes in speed and braking of electric cars.
Gaurav; Amrit Kaur,
2012-01-01
Measuring the flow of liquids is a critical need in many industrial plants. In recent years, flow control has become a highly multi-disciplinary research activity encompassing theoretical, computational and experimental fluid dynamics. Fuzzy control is based on fuzzy logic-a logical system that is much closer in spirit to human thinking and natural language than traditional logical systems. During the past several years, fuzzy control has emerged as one of the most active and fruitful areas f...
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RASHMITA KHARE, M. J. NIGAM
2013-08-01
Full Text Available BP Neural Network has a longer training time and a slow convergence. To deal with the defects of BP Neural Network a modified BP algorithm is proposed in the paper. The algorithm is applied for the control of Inverted Pendulum, a highly non linear system inherently being open loop unstable. Levenberg-Marquardt algorithm is used for the training purpose. The training samples are being collected by a two PID and one LQR arrangement. The simulation results prove that the modified BP algorithm for inverted pendulum control gives better efficiency, lesser training time and faster convergence.
Controller Design using Pade approximation and mixed methods
Parvendra Kumar; Rajendra Prasad
2012-01-01
This paper proposed a new approach of controller design. By using model matching method we design a PID controller for higher order system. A higher order model is reduced by Pade approximation and mixed method, then design a controller for reduced order model. We take a comparatively study between close loop response of higher order system and reduced order system. The model order reduction and controller design is illustrated through a numerical example.
Controller Design using Pade approximation and mixed methods
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Parvendra Kumar
2012-07-01
Full Text Available This paper proposed a new approach of controller design. By using model matching method we design a PID controller for higher order system. A higher order model is reduced by Pade approximation and mixed method, then design a controller for reduced order model. We take a comparatively study between close loop response of higher order system and reduced order system. The model order reduction and controller design is illustrated through a numerical example.
International Nuclear Information System (INIS)
This article refers to development of ANN modeling for geothermal district heating systems, and the novel and optimal control strategy for exergy efficiency maximization by using these systems. As a real case study, the geothermal district heating system in Afyonkarahisar (AGDHS), Turkey is considered. Its actual thermal data as of average weekly data are collected in heating seasons during the period 2006–2010 for ANN model and control strategy. In this study, a novel control strategy-based PID controller is proposed to ensure the maximum exergy efficiency via the flow rate control of the AGDHS. ANN model of the AGDHS is used as a test system to demonstrate the effectiveness of the proposed control strategy under various operating conditions. The results of this study show that the network yields a good statistical performance with respect to maximum correlation coefficient (0.9986) with minimum RMSE and MAPE values. Moreover, the proposed PID controller has better control performance compared to the manual control even in the presence of the AGDHS. Energy efficiency and cost saving of the system are increased by 13% by the proposed control strategy. Thus, the proposed control strategy has the potential for creating more comfortable thermal environments for district heating systems. -- Highlights: ? ANN model for a GDHS is developed as a test system, and has a good statistical performance. ? A novel control strategy is used in this test system under various operating conditions. ? Max. exergy efficiency of the AGDHS is ensured by this strategy via the flow rate control. ? The strategy has better control performance compared to the manual control in the AGDHS. ? With the proposed strategy, the exergy efficiency of the system is increased by 13%
Aleem Ahmed Khan; Kashan Hussain
2012-01-01
The idea of this paper is to compare the time-response performance characteristics between two controllers having different strategy for an inverted pendulum system. The main objective is to determine which control strategy brings the better results in comparative analysis with regard to pendulum’s angle and cart’s position of the system. The inverted pendulum system in fact a critical and challenging control problem, which continually moves away from a stable state. Two Control strategies fo...
Dr. Dipak Ranjan Jana; Er. Farhad Aslam; Er. Lava Kumar Sinha
2011-01-01
All the industrial process applications require solutions of a specific chemical strength of the chemicals or fluids considered for analysis. Such specific concentrations are achieved by mixing a full strength solution with water in the desired proportions. In this paper the control of concentration of one chemical with the help of other has been analyzed. This paper features the auto tuning technique of PID controller and is adopted for more reliable and robust control action considering unc...
International Nuclear Information System (INIS)
Highlights: ? This paper proposes a powerful and flexible method for controlling a class of nonlinear chaotic systems. ? This method is incorporated with H-infinity tracking control scheme. ? In the core of proposed method, PSO algorithm is employed to obtaining an optimal performance. - Abstract: This paper introduces an optimal H? adaptive PID (OHAPID) control scheme for a class of nonlinear chaotic system in the presence system uncertainties and external disturbances. Based on Lyapunov stability theory, it is shown that the proposed control scheme can guarantee the stability robustness of closed-loop system with H? tracking performance. In the core of proposed controller, to achieve an optimal performance of OHAPID, the Particle Swarm Optimization (PSO) algorithm is utilized. To show the feasibility of proposed OHAPID controller, it is applied on the chaotic gyro system. Simulation results demonstrate that it has highly effective in providing an optimal performance.
RASHMITA KHARE, M. J. NIGAM
2013-01-01
BP Neural Network has a longer training time and a slow convergence. To deal with the defects of BP Neural Network a modified BP algorithm is proposed in the paper. The algorithm is applied for the control of Inverted Pendulum, a highly non linear system inherently being open loop unstable. Levenberg-Marquardt algorithm is used for the training purpose. The training samples are being collected by a two PID and one LQR arrangement. The simulation results prove that the modified BP algorithm fo...
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Germ\\u00E1n A. Hern\\u00E1ndez Mill\\u00E1n
2012-01-01
Full Text Available Dado que no siempre es posible conocer con exactitud la función de transferencia de todo sistema se hace necesario utilizar herramientas diferentes a las tradicionalmente conocidas para desarrollar el control. Una de estas herramientas son las redes neuronales. Estas no necesitan conocer de manera directa el comportamiento de cada uno de los componentes del sistema para emularlo. Lo único que necesitan son datos para aprender el comportamiento deseado del sistema. En este artículo se demuestra que las redes neuronales pueden emular el comportamiento de un controlador PID para controlar los perfiles de velocidad de los motores de tracción un robot móvil tipo diferencial.
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Mohammed Salem
2014-10-01
Full Text Available In this paper an enhanced approach based on a modified biogeography optimization with predator and prey behavior (PMBBO is presented. The approach uses several predators with new proposed prey’s movement formula. The potential of using a modified predator and prey model is to increase the diversification along the optimization process so to avoid local optima and reach the optimal solution quickly. The proposed approach is used in tuning the gains of PID controller for nonlinear systems (Mass spring damper and an inverted pendulum and has given remarkable results when compared to genetic algorithm and classical BBO.
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Abbas Ali Zamani
2012-07-01
Full Text Available Physical systems always include constraints and limits. Usually, the limits and constraints, in the control systems, are appeared as temperature and pressure limits or pumps capacity. One of the existing limits in the systems with PID controller is associated with the actuator’s saturation limits. With the saturating of the actuator, the controller’s output and plant’s input will be different and the output signal of controller do not lead the system and their states could not update correctly where this issue makes the system response undesirable. In this paper, by adding a fuzzy compensator that it’s parameters are tuned using imperialist competitive algorithm, the actuator saturation is prevented and the important parameters of the system response, such as setting time and overshoot, are improved.
Design Robust Controller for Rotary Kiln
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Omar D. Hernández-Arboleda
2013-11-01
Full Text Available This paper presents the design of a robust controller for a rotary kiln. The designed controller is a combination of a fractional PID and linear quadratic regulator (LQR, these are not used to control the kiln until now, in addition robustness criteria are evaluated (gain margin, phase margin, strength gain, rejecting high frequency noise and sensitivity applied to the entire model (controller-plant, obtaining good results with a frequency range of 0.020 to 90 rad/s, which contributes to the robustness of the system.
High-Speed and Low-Power PID Structures for Embedded Applications.
K. Oudjida, Abdelkrim; Chaillet, Nicolas; Liacha, Ahmed; Hamerlain, Mustapha; L. Berrandjia, Mohamed
2011-01-01
In embedded control applications, control-rate and energy-consumption are two critical design issues. This paper presents a series of high-speed and low-power finite-word-length PID controllers based on a new recursive multiplication algorithm. Compared to published results into the same conditions, savings of 431% and 20% are respectively obtained in terms of control-rate and dynamic power consumption. In addition, the new multiplication algorithm generates scalable PID structures that can b...
Application of dimensional analysis in systems modeling and control design
Balaguer, Pedro
2013-01-01
Dimensional analysis is an engineering tool that is widely applied to numerous engineering problems, but has only recently been applied to control theory and problems such as identification and model reduction, robust control, adaptive control, and PID control. Application of Dimensional Analysis in Systems Modeling and Control Design provides an introduction to the fundamentals of dimensional analysis for control engineers, and shows how they can exploit the benefits of the technique to theoretical and practical control problems.
Two-Degrees-of-Freedom Robust PID Controllers Tuning Via a Multiobjective Genetic Algorithm
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Jos\\u00E9 Rub\\u00E9n Lagunas-Jim\\u00E9nez
2014-01-01
Full Text Available En este artículos e presenta una metodología de diseño de controladores PID (Proporcional, Integral y Derivativo, de dos grados de libertad media nte el planteamiento de un problema de optimización multiobjetivo. Las funciones objetivo propuestas consideran entre otros: respuesta de referencia al escalón, perturbación de carga y robustez ante incertidumbre en el modelado. También se incluye un filtr o para minimizar el ruido de medición y la constante de tiempo se incluye en el vector de variables de decisión. El problema de optimización se resuelve con un algoritmo genético.
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Teddy Sudewo
2012-09-01
Full Text Available Pada fase penerbangan quadcopter, fase landing (pendaratan merupakan fase paling kritis, dimana resiko terjadi kecelakaan paling besar. Permasalahan tersebut muncul karena adanya beberapa kendala, seperti kendala pada struktur rangka pesawat yang kecil, peningkatan beban pada sayap pesawat serta pengaruh angin sehingga menyebabkan pesawat tidak stabil. Pada penelitian tugas akhir ini, didesain suatu sistem kontrol pada UAV quadcopter menggunakan kontrol PID dengan Model Reference Adaptive Control (MRAC. Sistem pengendalian berbasis MRAC menawarkan beberapa kelebihan untuk mengatasi karakteristik plant non-linear salah satunya quadcopter. MRAC merupakan kontrol adaptif dimana performansi keluaran sistem (proses akan mengikuti performansi keluaran model referensinya. Pada tugas akhir ini, model referensi sudah ditentukan diawal dan spesifikasinya tetap sehingga dapat langsung didisain mekanisme adaptasi dari MRAC. Parameter proses ? (a1,a2,b0,b1 diestimasi menggunakan metode Extended Least Square, parameter proses tersebut akan mentuning parameter kontroler (k0,k1,k2,k3 sehingga menghasilkan sinyal kontrol PID. Hasil pengujian menunjukkan bahwa ketika terjadi perubahan parameter pada plant, kontroler mampu memperbaiki respon agar tetap dapat mengikuti model referensinya dan dalam mengatasi gangguan metode adaptasi MRAC memiliki kemampuan yang baik dilihat dari waktu yang dibutuhkan yang relatif singkat.
Copot, Cosmin; Zhong, Yu; Ionescu, Clara; Keyser, Robin
2013-06-01
In this paper, two methods to tune a fractional-order PI ? D ? controller for a mechatronic system are presented. The first method is based on a genetic algorithm to obtain the parameter values for the fractionalorder PI ? D ? controller by global optimization. The second method used to design the fractional-order PI ? D ? controller relies on an auto-tuning approach by meeting some specifications in the frequency domain. The real-time experiments are conducted using a Steward platform which consists of a table tilted by six servo-motors with a ball on the top of the table. The considered system is a 6 degrees of freedom (d.o.f.) motion platform. The feedback on the position of the ball is obtained from images acquired by a visual sensor mounted above the platform. The fractional-order controllers were implemented and the performances of the steward platform are analyzed.
Fractional order differentiation and robust control design crone, h-infinity and motion control
Sabatier, Jocelyn; Melchior, Pierre; Oustaloup, Alain
2015-01-01
This monograph collates the past decade’s work on fractional models and fractional systems in the fields of analysis, robust control and path tracking. Themes such as PID control, robust path tracking design and motion control methodologies involving fractional differentiation are amongst those explored. It juxtaposes recent theoretical results at the forefront in the field, and applications that can be used as exercises that will help the reader to assimilate the proposed methodologies. The first part of the book deals with fractional derivative and fractional model definitions, as well as recent results for stability analysis, fractional model physical interpretation, controllability, and H-infinity norm computation. It also presents a critical point of view on model pseudo-state and “real state”, tackling the problem of fractional model initialization. Readers will find coverage of PID, Fractional PID and robust control in the second part of the book, which rounds off with an extension of H-infinity ...
High Step up DC-DC Converter with PID Controller for Photovoltaic Applications
Rakesh Kumar Goudanaikar; Shanmukha Sundar, Dr K.
2014-01-01
From the literature survey, it is observed that the need of ac photovoltaic modules in photovoltaic (PV) power-generation market has increased. However, the important aspect is a requirement of a high voltage gain converter for the module’s grid connection through a dc–ac inverter. A high step up dc-dc converter using PI controller is proposed and presented in this paper. Further, the converter proposed in this paper employs a floating active switch, which is designed to isolate the dc cu...
Intelligent Controller Design for a Chemical Process
Mr. Glan Devadhas G; Dr.Pushpakumar S.
2010-01-01
Chemical process control is a challenging problem due to the strong on*line non*linearity and extreme sensitivity to disturbances of the process. Ziegler – Nichols tuned PI and PID controllers are found to provide poor performances for higher*order and non–linear systems. This paper presents an application of one*step*ahead fuzzy as well as ANFIS (adaptive*network*based fuzzy inference system) tuning scheme for an Continuous Stirred Tank Reactor CSTR process. The controller is designed ba...
High Step up DC-DC Converter with PID Controller for Photovoltaic Applications
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Rakesh Kumar Goudanaikar
2014-06-01
Full Text Available From the literature survey, it is observed that the need of ac photovoltaic modules in photovoltaic (PV power-generation market has increased. However, the important aspect is a requirement of a high voltage gain converter for the module’s grid connection through a dc–ac inverter. A high step up dc-dc converter using PI controller is proposed and presented in this paper. Further, the converter proposed in this paper employs a floating active switch, which is designed to isolate the dc current from the PV panel when the ac module is off-grid as well as in the non-operating condition. This isolation will ensure the operation of the internal components without any residential energy being transferred to the output or input terminal,. The PI controller is used in feedback in order to speed-up the response. The converter achieves a high step-up voltage-conversion ratio without extreme duty ratio and the numerous turns-ratios of a coupled inductor. The leakage inductor energy of the coupled inductor is efficiently recycled to the load. The proposed converter model along with PI controller is modeled using SIMULINK and the simulation results are presented in this paper to authenticate the proposed scheme.
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E.saranya
2013-07-01
Full Text Available Heat exchanger system is widely used in chemical plants because it can sustain wide range of temperature and pressure. The main purpose of a heat exchanger system is to transfer heat from a hot fluid to a cooler fluid, so temperature control of outlet fluid is of prime importance. The designed controllers will regulate the temperature of the outgoing fluid to a desired set point in the shortest possible time irrespective of load and process disturbances, equipment saturation and nonlinearity. To control the temperature of outlet fluid of the heat exchanger system, a conventional P,PI and PID controller can be used. Due to nonlinear nature, shell and tube heat exchanger system is hard to model and control using conventional methods. The intelligent controllers are effective for nonlinear processes. In this paper, conventional P,PI,PID and IMC based PID controllers are designed and simulation results are presented and discussed. From the results it is observed that IMC based PID controller gives better results when compared to other controllers. To improve the performance the fuzzy controller and model based neuro controllers (inverse and internal model controllers are designed and simulated. To develop model based neuro controllers forward and inverse neuro model are developed, trained and validated. Simulation studies are carried out with fuzzy logic controller and model based neuro controllers for servo and regulatory problems. The results are presented and discussed. It is observed that ,fuzzy logic controller and IMC based PID controllers are giving better results when compared to conventional PID controller and model based neuro controllers.
Scientific Electronic Library Online (English)
Tania, García Martínez; Rafael F., Tanda Martínez; Alberto, Aguado Behar.
2012-12-01
Full Text Available En este artículo se presenta una mejora del lazo de regulación de la temperatura del vapor sobrecalentado en un generador de vapor BKZ-340-140-29M de 100 MW. El estudio se realiza en la Central Termoeléctrica Máximo Gómez. La propuesta consiste en un controlador PID con una estructura de dos grados [...] de libertad y filtraje de la medida. El diseño, que incluye un criterio de robustez, tiene como objetivo fundamental la atenuación de las perturbaciones de carga producidas por la variación del flujo de vapor. El ruido de medida se resuelve filtrando la salida con un filtro de segundo orden. La ponderación del punto de consigna se utiliza para mejorar los cambios en la referencia. La propuesta se compara con el desempeño del controlador implementado actualmente en el lazo. Los resultados confirman los beneficios del diseño, garantizando así una mejor eficiencia del lazo. Abstract in english In this paper it is presented an improvement of the temperature loop regulation of the steam overheated in a boiler BKZ-340-140-29M of 100 MW. The study is carried out in the Thermoelectric Máximo Gómez. The proposed consists in a two degree of freedom PID control and measure filtering. The design, [...] that include a robust criteria, has like a fundamental objective the load disturbances rejection produced by variation in the steam flow. The measurement noise is solving using filtering process output with a second order filter. The setpoint weighting it is used to improve the setpoint changes. The proposed is compare with the performance of the current implemented controller in the loop. The results confirm the benefits of design, guaranteeing a better efficiency of the loop.
A Study on the Control Methods Based on 3-DOF Helicopter Model
Junshan Gao; Xinghu Xu; Chen He
2012-01-01
The 3 degree of freedom (3-DOF) helicopter system is a typical higher-order times, instability, multi-variable, nonlinear and strong coupling control system. This paper presents the analysis of the mathematical model and the basic principle of PID control and fuzzy PID control, which are based on 3-DOF helicopter systems. In allusion to balance control of 3-DOF helicopter system, PID controller and fuzzy PID controller are designed respectively to control the model. The MATLAB simulation resu...
Design of a DSP-based servo speed controller
Lu, Jialing
1992-01-01
The brushless servo drive is arguably the most important emerging drive category for robotics, machine tools and other applications. This places increasingly high demands on the servo motor and controller. The brushless servo drive is arguably the most important emerging drive category for robotics, machine tools and other applications. This places increasingly high demands on the servo motor and controller. Two PID design methods are studied for the speed controller, an "analog...
Hybrid fuzzy logic and pid controller based ph neutralization pilot plant
Naseer, Oumair; Khan, Atif Ali
2013-01-01
Use of Control theory within process control industries has changed rapidly due to the increase complexity of instrumentation, real time requirements, minimization of operating costs and highly nonlinear characteristics of chemical process. Previously developed process control technologies which are mostly based on a single controller are not efficient in terms of signal transmission delays, processing power for computational needs and signal to noise ratio. Hybrid controlle...
Farzin Piltan; Reza Bayat; Saleh Mehara; Javad Meigolinedjad
2012-01-01
Congetive method is used in this research to create portfilo of movement robot manipulator. Gradient descent (GD) artificial intelligence based switching feedback linearization controller was used and robot’s postures and trajectory were expected in MATLAB/SIMULINK environment. Feedback linearization controller (CTC) is an influential nonlinear controller to certain systems which it is based on feedback linearization and computes the required torques using the nonlinear feedback control law...
APM (Simple MPC vs. PID – Detailed Comparison
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Enes Saletovic
2014-03-01
Full Text Available In this paper APM (Asymptotic Predictive Method algorithm for real time control of LTI SISO (Linear Time Invariant Single Input Single Output systems has been compared with PID algorithm on several statistically most common real SISO models in practice. APM is specific MPC (Model Predictive Control algorithm which defines optimal control signal using trivial sequence of counter control signals, instead of demanding QP (Quadratic Programming method. Using Matlab simulation, APM algorithm has been compared with PID algorithm. Comparison criteria are: mean absolute error, steady-state error, settling time, overshoot, disturbance rejection and robustness. In most of simulation examples, APM algorithm has provided better control performance than PID algorithm.