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1

Design of Fuzzy Adaptive PID Temperature Controller Based on FPGA  

Directory of Open Access Journals (Sweden)

Full Text Available Aiming at the characteristics of a certain thermostat control system such as non-linear and time varying, combining the traditional PID controller with modern fuzzy control theory, and using the EP1C12 FPGA as the core controller, the fuzzy adaptive PID temperature controller is going to be designed and achieved. The deviation and deviation rate are the inputs of fuzzy PID controller. PID parameters are the outputs of fuzzy PID controller. A set of fuzzy rules is used to achieve the online optimal regulation for the PID parameters. The simulation results of the system show that this method can significantly improve the control effect. With the simplification of the design, the computational speed and reliability of the system are also improved.  

Gang Qin

2013-10-01

2

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)

3

Optimal PID Controller designing for voltage control of Fuel Cell  

Directory of Open Access Journals (Sweden)

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.

Omid Khezri

2014-07-01

4

Design of a PID Controller for a PCR Micro Reactor  

Science.gov (United States)

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…

Dinca, M. P.; Gheorghe, M.; Galvin, P.

2009-01-01

5

Genetic Design of Neural PID plus Feed Forward Controllers  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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...

Naim Ajlouni; Sadeq Al-Hamouz

2004-01-01

6

Genetic Design of Neural PID plus Feed Forward Controllers  

Directory of Open Access Journals (Sweden)

Full Text Available 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 these plants effectively. A cost function involving time-domain performance is then deployed, subject to a frequency domain stability constraint. The resulting paradigm results in a robust controller design with excellent time-domain performance. This evolutionary approach is illustrated by evolving a neural PID plus feed forward controller for a linear plant, which has a set of prescribed uncertainties.

Naim Ajlouni

2004-01-01

7

A CASE STUDY ON DESIGN AND EVALUATION OF MODIFIED ADAPTIVE FUZZY PID CONTROLLER  

Directory of Open Access Journals (Sweden)

Full Text Available 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 particular, focus of the work presented here is mainly on two problems: replacing an operator’s control of PID regulators with fuzzy PID controller and to develop a structure for self tuning Fuzzy PID Controller and to develop a structure for self tuning fuzzy PID as modified PID adaptive Fuzzy Controller.

Dr.Pankaj Rai

2012-01-01

8

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.

9

A CASE STUDY ON DESIGN AND EVALUATION OF MODIFIED ADAPTIVE FUZZY PID CONTROLLER  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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...

Dr.Pankaj Rai; Durgesh Nandan

2012-01-01

10

Simulated Annealing optimized PID Controller design using ISE, IAE, IATE and MSE error criteria  

Directory of Open Access Journals (Sweden)

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.

Yogendra Kumar Soni , Rajesh Bhatt

2013-07-01

11

BF-PSO optimized PID Controller design using ISE, IAE, IATE and MSE error criteria  

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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.

Yogendra Kumar Soni , Rajesh Bhatt

2013-07-01

12

Design New Intelligent PID like Fuzzy Backstepping Controller  

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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.

Arzhang Khajeh

2014-02-01

13

A Substractive Clustering Based Fuzzy Hybrid Reference Control Design for Transient Response Improvement of PID Controller  

Directory of Open Access Journals (Sweden)

Full Text Available The well known PID controller has inherent limitations in fulfilling simultaneously the conflicting control design objectives. Parameters of the tuned PID controller should trade off the requirement of tracking set-point performances, disturbance rejection and stability robustness. Combination of hybrid reference control (HRC with PID controller results in the transient response performances can be independently achieved without deteriorating the disturbance rejection properties and the stability robustness requirement. This paper proposes a fuzzy based HRC where the membership functions of the fuzzy logic system are obtained by using a substractive clustering technique. The proposed method guarantees the transient response performances satisfaction while preserving the stability robustness of the closed loop system controlled by the PID controller with effective and systematic procedures in designing the fuzzy hybrid reference control system.

Endra Joelianto

2009-11-01

14

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

15

The Design of Constant Tension System Based on BP Neural Network PID Control  

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Full Text Available In textile machinery, to improve product quality requires us to control the tension of the yarn. This paper designs a kind of constant tension control system by using proportional tension regulating circuit, the master controller uses the programmable controller, algorithm uses the BP neural network PID control algorithm to overcome the shortcomings of conventional PID controller and achieve the on-line adjustments of proportional, differential, integral parameter. The simulation results show that the BP neural network PID control effect is better than conventional PID, fast response, less overshoot, small steady-state error, and strong anti-interference capability.

Wenan Kang

2014-04-01

16

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.

17

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)

18

Tuning of Fuzzy PID Controllers  

DEFF Research Database (Denmark)

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.

Jantzen, Jan

1998-01-01

19

Direct Drive Electro-hydraulic Servo Control System Design with Self-Tuning Fuzzy PID Controller  

Directory of Open Access Journals (Sweden)

Full Text Available According to the nonlinear and time-varying uncertainty characteristics of direct drive electro-hydraulic servo control system, a self-tuning fuzzy PID control method with speed change integral and differential ahead optimizing operator is put forward by combining fuzzy inference and traditional PID control in this paper.The rule of fuzzy logic is designed, the membership function of the fuzzy subsets is determined and lookup table method is used to correcte the PID parameters in real-time. Finally the simulation is conducted with the typical input signal, such as tracking step, sine etc. The simulation results show that?the self-tuning fuzzy PID control system can effectively improve the dynamic characteristic when the system is out of the range of the operating point compared with the traditional PID control system, there is obvious improvement in the indexes of rapidity, stability and accuracy,  and fuzzy self-tuning PID Control is more robust, and more suitable for direct drive electro-hydraulic servo system.

Wang Yeqin

2013-06-01

20

A Design Method for Modified PID Controllers for Multiple-Input/Multiple-Output Plants  

Science.gov (United States)

The Proportional-Integral-Derivative (PID) controller structure is very widely used in industrial applications. Its structural simplicity and ability to solve many practical control problems have contributed to this wide acceptance. Recently, the parameterization of all stabilizing PID controllers has been considered. This method obtains admissible sets of PID parameters to guarantee the stability of a closed-loop system. However, several difficulties remain with this method. One is that admissible sets of P-parameters, I-parameters and D-parameters are related to each other. Another is that there are plants that cannot be stabilized by a PID controller. To overcome these problems, Yamada and Hagiwara proposed a design method for modified PID controllers that stabilize the closed-loop system for unstable plants, while allowing admissible sets of P-parameters, I-parameters and D-parameters to be independent of each other. However, no method has been published that can guarantee the stability of PID control systems for multiple-input/multiple-output plants, or find admissible sets of P-parameters, I-parameters and D-parameters that both are independent of each other and guarantee the stability of a PID control system. We propose a design method for modified PID controllers that achieves these goals.

Hagiwara, Takaaki; Yamada, Kou; Matsuura, Shun; Aoyama, Satoshi

 
 
 
 
21

Design of the Glass Batching-Material System Based Fuzzy-PID Combined Control  

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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.    

Zhisong Hou

2013-06-01

22

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

23

Design Of PID Controlled Power System Stabilizer For Stability Studies Using Genetic Algorithm  

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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.

NITHIN. N

2014-09-01

24

Design of the Glass Batching-Material System Based Fuzzy-PID Combined Control  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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...

Zhisong Hou; Yanchang Liu; Qigao Feng

2013-01-01

25

Research Trends for PID Controllers  

Directory of Open Access Journals (Sweden)

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.

Antonio Visioli

2012-01-01

26

Design of Adaptive Fuzzy PID Controller for Speed control of BLDC Motor  

Directory of Open Access Journals (Sweden)

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.

R. Kandiban

2012-03-01

27

Design and clinical evaluation of robust PID control of propofol anesthesia in children  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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 ...

Heusden, Klaske; Dumont, Guy A.; Soltesz, Kristian; Petersen, Christian L.; Umedaly, Aryannah; West, Nicholas; Ansermino, J. Mark

2014-01-01

28

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

29

Design And Implementation Of PID Controller Using Relay Feedback On TRMS (Twin Rotor MIMO System)  

Science.gov (United States)

Today, many process control problems can be adequately and routinely solved by conventional PID control strategies. The overriding reason that the PID controller is so widely accepted is its simple structure which has proved to be very robust with regard to many commonly met process control problems as for instance disturbances and nonlinearities. Relay feedback methods have been widely used in tuning proportional-integral-derivative controllers due to its closed loop nature. In this work, Relay based PID controller is designed and successfully implemented on TRMS (Twin Rotor MIMO System) in SISO and MIMO configurations. The performance of a Relay based PID controller for control of TRMS is investigated and performed satisfactorily. The system shares some features with a helicopter, such as important interactions between the vertical and horizontal motions. The RTWT toolbox in the MATLAB environment is used to perform real-time experiments.

Shah, Dipesh H.

2011-12-01

30

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)

31

A PSO Approach for Optimum Design of Multivariable PID Controller for nonlinear systems  

Digital Repository Infrastructure Vision for European Research (DRIVER)

The aim of this research is to design a PID Controller using particle swarm optimization (PSO) algorithm for multiple-input multiple output (MIMO) Takagi-Sugeno fuzzy model. The conventional gain tuning of PID controller (such as Ziegler-Nichols (ZN) method) usually produces a big overshoot, and therefore modern heuristics approach such as PSO are employed to enhance the capability of traditional techniques. However, due to the computational efficiency, only PSO will be used...

Taeib, Adel; Ltaeif, Ali; Chaari, Abdelkader

2013-01-01

32

A DESIGN OF ROBUST PID CONTROLLER FOR NON-MINIMUM NETWORK CONTROL SYSTEM  

Directory of Open Access Journals (Sweden)

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.

Deepali Chandrakar

2012-11-01

33

PID controller design of nonlinear systems using an improved particle swarm optimization approach  

Science.gov (United States)

In this paper, an improved particle swarm optimization is presented to search for the optimal PID controller gains for a class of nonlinear systems. The proposed algorithm is to modify the velocity formula of the general PSO systems in order for improving the searching efficiency. In the improved PSO-based nonlinear PID control system design, three PID control gains, i.e., the proportional gain Kp, integral gain Ki, and derivative gain Kd are required to form a parameter vector which is called a particle. It is the basic component of PSO systems and many such particles further constitute a population. To derive the optimal PID gains for nonlinear systems, two principle equations, the modified velocity updating and position updating equations, are employed to move the positions of all particles in the population. In the meanwhile, an objective function defined for PID controller optimization problems may be minimized. To validate the control performance of the proposed method, a typical nonlinear system control, the inverted pendulum tracking control, is illustrated. The results testify that the improved PSO algorithm can perform well in the nonlinear PID control system design.

Chang, Wei-Der; Shih, Shun-Peng

2010-11-01

34

Design of PID Controller for Non Square MIMO System  

Science.gov (United States)

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.

Thirunavukkarasu, I.; George, V. I.; Priya, S. Shanmuga; Vardhan, Yash

2011-12-01

35

A fuzzy model based adaptive PID controller design for nonlinear and uncertain processes.  

Science.gov (United States)

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

Savran, Aydogan; Kahraman, Gokalp

2014-03-01

36

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)

37

Designing of PID Controller for Discrete Time Linear System Using Balanced Approach Reduced Order Model  

Directory of Open Access Journals (Sweden)

Full Text Available Modeling physical systems usually results in complex high-order dynamic models. It is often desirable to approximate these models by simpler models with reduced order. The reduced order model retains the desired state variable which contains a significant contribution. A PID controller was designed for the reduced second order model to meet the desired performance specifications by using pole-zero cancellation method. The stabilization of linear discrete time system was achieved by selection of parameters of the PID controller. A numerical example was given to illustrate the design method.

C. S. Ravichandran

2007-01-01

38

Design of a Fractional Order PID Controller Using Particle Swarm Optimization Technique  

CERN Document Server

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 show that this design method can effectively tune the parameters of the fractional order controller.

Maiti, Deepyaman; Konar, Amit

2008-01-01

39

Design New PID like Fuzzy CTC Controller: Applied to Spherical Motor  

Directory of Open Access Journals (Sweden)

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.

Mohammad shamsodini

2014-05-01

40

Design of PID Controller for Maglev System Based on an Improved PSO with Mixed Inertia Weight  

Directory of Open Access Journals (Sweden)

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

Rongrong Song

2014-06-01

 
 
 
 
41

Design, Implementation and Validation of a Self-Tuning PID Controller  

Directory of Open Access Journals (Sweden)

Full Text Available 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 unstable 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.

Leonardo F. Lozano-Valencia

2012-06-01

42

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)

43

Designing a Robust and Adaptive PID Controller for Gas Turbine Connected to the Generator  

Directory of Open Access Journals (Sweden)

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.

Mohsen Khalilpour

2013-02-01

44

Genetic Algorithm Based PID Controller Design for a Precise Tracking of Two-Axis Piezoelectric Micropositioning Stage  

Directory of Open Access Journals (Sweden)

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.

Yasir Khudhair Abbas

2012-01-01

45

Design of PID Filter Controller with Genetic Algorithm for Mimo System in Modern Power Generation  

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Full Text Available In this work, a new technique based on Genetic Algorithm for designing multivariable PID filter controller has been developed and applied to gasifier control of ALSTOM benchmark challenge II. The coal gasifier is the main component in Modern power generation. Coal gasifier involves several performance and robustness requirements in addition to actuator constraints under three operating loads (no-load, 50% and 100% load. The proposed GA optimises the tuning parameters of PID constants in terms of robustness and performance. The optimised controller meets all design objectives under all operating conditions. Robustness of the controller is tested for step and sinusoidal pressure disturbances applied at the inlet of throttle valve along with increase and decrease of calorific value of fuel fed-in (coal. Simulation results obtained confirmed the superiority of proposed technique for gasifier problems. 

Anitha Mary. X

2014-08-01

46

Analytical Design of PID Decoupling Control for TITO Processes with Time Delays  

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Full Text Available Based on unit feedback closed-loop control structure, a simple analytical design method of decoupling controller matrix is proposed in terms of idea of coupling matrix for two-input-two-output (TITO processes with time delays in chemical and industrial practice. By means of powerful robustness of two degree-of-freedom PID Desired Dynamic Equation (DDE method, PID decoupling controller is analytically designed. And the Monte-Carlo stochastic experiment is introduced to analyze performance robustness of the controller. The most important merit of the proposed method is that for the nominal system the output of each channel can be decoupled entirely. Moreover, the decoupling matrix is simple and easily realized. Finally, illustrative simulation examples are included to demonstrate the remarkable superiority of the proposed method.

Zengrong Hu

2011-06-01

47

IMC-PID-fractional-order-filter controllers design for integer order systems.  

Science.gov (United States)

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

Maâmar, Bettayeb; Rachid, Mansouri

2014-09-01

48

Design Intelligent PID like Fuzzy Sliding Mode Controller for Spherical Motor  

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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.

Farzin Matin

2014-04-01

49

Dynamic PID loop control  

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.

50

Dynamic PID loop control  

CERN Document Server

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

51

Dynamic PID loop control  

Energy Technology Data Exchange (ETDEWEB)

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.; Klebaner, A.; Theilacker, J.; Soyars, W.; Martinez, A.; Bossert, R.; DeGraff, B.; Darve, C.; /Fermilab

2011-06-01

52

An analytical method to design the PID controller for the power control system of experimental nuclear reactor  

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

53

PID-Structured controller design for interval systems : Application to Piezoelectric Microactuator.  

Digital Repository Infrastructure Vision for European Research (DRIVER)

This paper addresses the modeling and robust PID controller design for piezoelectric mi- crosystems. Piezoelectric cantilevers, used as microac- tuators in micromanipulation and microassembly con- texts, are particularly concerned. Due to their small sizes, these systems are very sensitive to environment (temperature, vibration, etc.) and to usury during functioning. Their behaviors often change because of the parameters variation. For that, linear modeling with uncertainty has been used to a...

Khadraoui, Sofiane; Rakotondrabe, Micky; Lutz, Philippe

2011-01-01

54

A simple robust PID controller design method based on sine wave identification of the uncertain plant  

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)

55

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

56

The Design and Frequency Domain Analysis of IMC-PID Control System Based on Large Time-Delay Process  

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Full Text Available This paper, aiming at the large time-delay system, firstly introduces the design and parameter tuning methods of ZN-PID and IMC-PID controller. Then it derives the parameter expression of IMC-PID respectively based on one order Pade approximation and all-pole approximation. At last it does the simulation both in model match and mismatch cases and analyzes the frequency domain characteristic of the control system. The simulation results show that the IMC-PID controller, especially suitable for the model mismatch, outperforms the traditional PID in regulation, robustness and anti-interference. Moreover, the step response characteristic and stability of the all-pole approximation is better than one order Pade approximation when coping with the time-delay.

Yongrui Zhao

2013-04-01

57

Dynamic PID loop control  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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 c...

Pei, L.; Klebaner, A.; Theilacker, J.; Soyars, W.; Martinez, A.; Bossert, R.; Degraff, B.; Darve, C.

2012-01-01

58

Design of GA based PID Controller for three tank system with various Performance Indices  

Directory of Open Access Journals (Sweden)

Full Text Available Proportional–integral-derivative (PID controllers tuning is a challenging aspect for researchers and process operators. This paper proposes PID controller tuning of a three tank level process using genetic algorithm. Genetic algorithms are based on the principle of genetics and evolution and stand up as a powerful tool for solving search and optimization problems. Selection, crossover and mutation are three basic genetic operators for functioning of the algorithm. Optimization of PID parameters is evaluated using genetic algorithm with various performance indices i.e. ISE, ITAE, IAE and IME. Also the responses of three tank level process using genetic PID controller with various performance indices are analyzed and compared. Analysis is performed through computer simulation using Matlab/Simulink toolbox. The comparative study shows that the application of genetic algorithm based PID controller with ISE index gives the best performance compared to other indices for three tank level process.

P.Srinivas,

2013-11-01

59

A Design of a PID Self-Tuning Controller Using LabVIEW  

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Full Text Available 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 industrial processes. A GUI was developed to facilitate control-mode selection, the setting of controller parameters, and the display of control system variables. GUI makes it possible to put the controller in manual or self-tuning mode.

Tariq M. Younes

2011-03-01

60

CONTROL SYSTEM DESIGN WITH FUZZY LOGIC PID-?ONTROLLER TYPE 2  

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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.

A. T????

2011-04-01

 
 
 
 
61

GA-optimized feedforward-PID tracking control for a rugged electrohydraulic system design.  

Science.gov (United States)

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

Sarkar, B K; Mandal, P; Saha, R; Mookherjee, S; Sanyal, D

2013-11-01

62

Greenhouse irrigation control system design based on ZigBee and fuzzy PID technology  

Science.gov (United States)

In order to achieve the water demand information accurately detect of the greenhouse crop and its precision irrigation automatic control, this article has designed a set of the irrigated control system based on ZigBee and fuzzy PID technology, which composed by the soil water potential sensor, CC2530F256 wireless microprocessor, IAR Embedded Workbench software development platform. And the time of Irrigation as the output .while the amount of soil water potential and crop growth cycle as the input. The article depended on Greenhouse-grown Jatropha to verify the object, the results show that the system can irrigate timely and appropriately according to the soil water potential and water demend of the different stages of Jatropha growth , which basically meet the design requirements. Therefore, the system has broad application prospects in the amount of greenhouse crop of fine control irrigation.

Zhou, Bing; Yang, Qiliang; Liu, Kenan; Li, Peiqing; Zhang, Jing; Wang, Qijian

63

PI?D? controller design for integer and fractional plants using piecewise orthogonal functions  

Science.gov (United States)

This paper deals with the design of fractional PID controller for integer and fractional plants. A new analytic method is proposed, the developments are based on the expansion of the control loop signals as well as a chosen reference model input and output over a piecewise orthogonal functions, namely, Block pulse, Walsh and Haar wavelets. The generalized operational matrices of differentiation related to these bases which are fitting the Riemann-Liouville definition accurately are used to replace the fractional differential calculus by an algebraic one easier to solve. Thereafter, the controller tuning is elaborated simply with a matrix manipulation manner. At first, a least square is drawn to find only the controller gains, then a nonlinear function defined as a matrix norm is minimized to optimize the whole parameters. A variety of examples covering both integer and fractional systems and reference models are presented to show the validity of the technique.

Bouafoura, Mohamed Karim; Braiek, Naceur Benhadj

2010-05-01

64

Design of Voltage Regulating Control Device of Improved PID Algorithm for the Vehicle AC Generator Based on DSP  

Directory of Open Access Journals (Sweden)

Full Text Available The performance of the voltage regulating control system will have a direct impact on the power supply quality of vehicle generator. Therefore this paper researches a design of voltage regulating control device of improved PID algorithm for the vehicle alternating current (AC generator based on DSP. According to the analysis of the operation and the voltage regulating principle of the vehicle AC generator, using the TMS320LF240 DSP as controlling chip, the optimized AD signals conditioning circuit, PWM circuit and improved increment PID algorithm excitation controller based on digital PID algorithm are designed, which only use integral controller by the incremental algorithm, and the proportional and derivative controller by the positional algorithm. After integrated debugging and simulation, the reliability and high precision of the voltage control system are validated.

Du Baojiang

2012-05-01

65

Design of PID controllers in double feedback loops for SISO systems with set-point filters.  

Science.gov (United States)

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

Vijayan, V; Panda, Rames C

2012-07-01

66

Design of an iterative auto-tuning algorithm for a fuzzy PID controller  

Science.gov (United States)

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.

Saeed, Bakhtiar I.; Mehrdadi, B.

2012-05-01

67

A Study on Nonlinear PID Controller Design Using a Cell-Mediated Immune Response  

Energy Technology Data Exchange (ETDEWEB)

In this paper, we propose a nonlinear variable PID controller using a cell-mediated immune response. An immune feedback response is based on the functioning of biological T-cells. An immune feedback response and P-controller of conventional PID controllers resemble each other in role and mechanism. Therefore, we extend immune feedback mechanism to nonlinear PID controller. And in order to choose the optimal nonlinear PID controller gaines, we also propose the on-line tuning algorithm of nonlinear functions parameters in immune feedback mechanism. The trained parameters of nonlinear functions are adapted to the variations of the system parameters and any command velocity. And the adapted parameters obtained outputs of nonlinear functions with an optimal control performance. To verify performance of the proposed control systems, the speed control of nonlinear DC motor is performed. The simulation results show that the proposed control systems are effective in tracking a command velocity under system variations. (author). 13 refs., 11 figs., 3 tabs.

Park, J.H. [Chinju National University, Chinju (Korea); Choi, Y.K. [Pusan National University, Pusan (Korea)

2003-05-01

68

Multiobjective optimization design of a fractional order PID controller for a gun control system.  

Science.gov (United States)

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

Gao, Qiang; Chen, Jilin; Wang, Li; Xu, Shiqing; Hou, Yuanlong

2013-01-01

69

Application of Adaptive Fuzzy PID Leveling Controller  

Directory of Open Access Journals (Sweden)

Full Text Available Aiming at the levelling precision, speed and stability of suspended access platform, this paper put forward a new adaptive fuzzy PID control levelling algorithm by fuzzy theory. The method is aided design by using the SIMULINK toolbox of MATLAB, and setting the membership function and the fuzzy-PID control rule. The levelling algorithm can real-time adjust the three parameters of PID according to the fuzzy rules due to the current state. It is experimented, which is verified the algorithm have better stability and dynamic performance.

Ke Zhang

2013-05-01

70

A Hybrid MPC-PID Control System Design for the Continuous Purification and Processing of Active Pharmaceutical Ingredients  

Directory of Open Access Journals (Sweden)

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.

Maitraye Sen

2014-05-01

71

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

72

Implementation of PID and Fuzzy PID controllers for Temperature control in CSTR  

Directory of Open Access Journals (Sweden)

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.

S. Srinivasulu Raju

2013-05-01

73

Constant Force Feedback Controller Design Using PID-Like Fuzzy Technique for Tapping Mode Atomic Force Microscopes  

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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.

Yuan-Jay Wang

2013-08-01

74

Design and Stability Analysis of Fuzzy Switched PID Controller for Ship Track-Keeping  

Directory of Open Access Journals (Sweden)

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.

Baozhu Jia

2012-10-01

75

Design of Robust PID Controller Using Hybrid Algorithm for Reduced Order Interval System  

Directory of Open Access Journals (Sweden)

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.

Babu Thirumalaimuthu

2012-01-01

76

Using PLC for Custom-design of a PID/PWM Program to Control a Heater Temperature  

Digital Repository Infrastructure Vision for European Research (DRIVER)

This is a practical approach to control a continuous-time process variable (temperature) using a discrete controller (PLC) and a custom-designed software control algorithm and hardware interface, in a closed-loop system. Unlike the conventionally known technique of transforming a digital control action into a proportional analogue one by a D/A converter followed by power amplifier, the control action was formed internally by the PLC as a PID/PWM signal, which was used to trigger the power sta...

Alia, Mohammad A. K.

2007-01-01

77

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.

78

Design a PID Controller of BLDC Motor by Using Hybrid Genetic-Immune  

Directory of Open Access Journals (Sweden)

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.

Mohammed Obaid Ali

2011-01-01

79

Design of Performance Driven Self-Tuning PID Control Systems and It's Application for DC-DC Converters  

Science.gov (United States)

This paper proposes an adaptive PID controller which is driven by current control performance. The calculations of the PID parameters are based on the generalized minimum variance control(GMVC) algorithm. The current control performance is obtained in an online manner over a user-specified time-window with some overlap. The retuning of PID parameters are only carried out when controller performance deteriorates below a user-specified threshold. Experimental evaluations on the voltage control of the DC-DC converter demonstrates the practicality and utility of this idea.

Ohnishi, Yoshihiro; Ikemoto, Takahiro; Yamamoto, Toru

80

Design of a Control System for an Autonomous Vehicle Based on Adaptive-PID  

Directory of Open Access Journals (Sweden)

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.

Pan Zhao

2012-07-01

 
 
 
 
81

Design of FPGA-based Digital PID Controller Using Xilinx SysGen® For Regulating Blood Glucose Level of Type-I Diabetic Patients  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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...

Arezou Geramipour; Mohammad Khazaei; Ali Marjaninejad; Mehdi Khazaei

2013-01-01

82

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

83

Hybrid PID Control Algorithms for Nonlinear Process Control  

Science.gov (United States)

This paper presents modifications of the classical PID control algorithm, implemented by an Adaptive Neuro-Fuzzy Architecture (ANFA). The main goal here is to design a fuzzy PID controller with a flexible structure, adaptive tuning of its parameters and algorithm modifications, which leads to improvement of the system performance. Thus the controlling process and system are prevented from the undesired and non expected changes of the system input signals. The antecedent part of the applied fuzzy rules contains a linear function, similar to the modified discrete equation of the corresponding conventional PID controller. The simulations demonstrate satisfactory results of these performances and implementations applied to a nonlinear plant.

Taneva, Albena; Petrov, Michail; Ganchev, Ivan

2011-05-01

84

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

85

Using PLC for Custom-design of a PID/PWM Program to Control a Heater Temperature  

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Full Text Available This is a practical approach to control a continuous-time process variable (temperature using a discrete controller (PLC and a custom-designed software control algorithm and hardware interface, in a closed-loop system. Unlike the conventionally known technique of transforming a digital control action into a proportional analogue one by a D/A converter followed by power amplifier, the control action was formed internally by the PLC as a PID/PWM signal, which was used to trigger the power stage. This approach helped reducing the error due D/A conversion, maximized utilization of the PLC and reduced total cost. The control system is realized by utilizing the heater of the training board (RGT1, manufactured by DL-lorenzo Company and it simulates an analogue heating control system. The PLC is Siemens Simatic S7-214 model. An experimental result has shown that the control algorithm functions perfectly.

Mohammad A.K. Alia

2007-01-01

86

Analysis of Fuzzy PID and Immune PID Controller for Three Tank Liquid Level Control  

Directory of Open Access Journals (Sweden)

Full Text Available In industrial control systems the liquid level iscarrying its significance as the control action for level control intanks containing different chemicals or mixtures is essential forfurther control linking set points. The three level control modelsare considered in our work. The conventional control algorithm isdifficult to reach required control quality with more strictrestriction on overshoot. Design a parameter self-tuningPID-controller based on fuzzy control, which can adjustPID-parameters according to error and change in error.Biological immune system is a control system that has strongrobusticity and self-adaptability in complex disturbance andindeterminacy environments. The artificial intelligence techniqueof fuzzy logic and immune controller is adopted for more reliableand precise control action which incorporate the uncertain factorsalso. In this work the comparison of the conventional model, fuzzymodel and immune feedback mechanism is clarified.

Sharad Kumar Tiwari

2011-09-01

87

Genetic Design of Fuzzy Mapped PID Controllers for Non-linear Plants  

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Full Text Available The technique of genetic algorithms is proposed as a means of designing fuzzy gain-scheduled PI control schemes for a class of non-linear plants where the non-linearity is a function of the plant output. It is shown that the use of genetic algorithms for this purpose results in highly effective fuzzy gain-scheduled control systems. These results are illustrated by genetically designing a fuzzy gain-scheduled controller for a highly non-linear discrete-time single-input single-output model.

Naim Ajlouni

2004-01-01

88

Genetic Design of Fuzzy Mapped PID Controllers for Non-linear Plants  

Digital Repository Infrastructure Vision for European Research (DRIVER)

The technique of genetic algorithms is proposed as a means of designing fuzzy gain-scheduled PI control schemes for a class of non-linear plants where the non-linearity is a function of the plant output. It is shown that the use of genetic algorithms for this purpose results in highly effective fuzzy gain-scheduled control systems. These results are illustrated by genetically designing a fuzzy gain-scheduled controller for a highly non-linear discrete-time single-input single-output model.

Naim Ajlouni; Sadeq Al-Hamouz

2004-01-01

89

A Comparative Study on Temperature Control of CSTR using PI Controller, PID Controller and PID (Two Degree of Freedom Controller  

Directory of Open Access Journals (Sweden)

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

Bikash Dey

2014-01-01

90

Multivariable PID Controller For Robotic Manipulator  

Science.gov (United States)

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.

Seraji, Homayoun; Tarokh, Mahmoud

1990-01-01

91

HIERARCHICAL FUZZY PID CONTROLLER USING GRANULAR COMPUTING FOR INVERTED PENDULUM  

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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

POTTEM SAI THARUN, M.J. NIGAM

2013-07-01

92

A Novel Evolutionary Tuning Method for Fractional Order PID Controller  

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Full Text Available 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 order are in integer. Fractional order PID (FOPID is a special kind of PID controller whose derivative and integral order are fractional rather than integer. The key challenge of designing FOPID controller is to determine the two key parameters ? (integral order and µ (derivative order apart from the usual tuning parameters of PID using different tuning methods. Both ? and µ are in fraction which increases the robustness of the system and gives an optimal control. This paper proposes a novel tuning method for tuning ? and µ of FOPID using genetic algorithms.

Subhransu Padhee

2011-07-01

93

To Design an internal model control based PI/PID controller for low order time delay process model of boiler and heat exchanger  

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)

94

Model Reference PID Control of an Electro-hydraulic Drive  

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Full Text Available Hydraulic cranes are inherently nonlinear and contain components exhibiting strong friction, saturation, variable inertia mechanical loads, etc. The characteristics of these non-linear components are usually not known exactly as structure or parameters. For these reasons, tuning of the traditional PID controller parameters to control this system for the required performance faces a strong challenge. In this paper a new approach to design an adaptive PID control has the ability to solve the control problem of highly nonlinear systems such as the hydraulic crane was proposed. The core of the design method depends on comparing the performance of the Model Reference (MR response with the nonlinear model response and feeding an adaptation signal to the PID control system to eliminate the error in between. It is found that the proposed MR-PID control policy provided the most consistent performance in terms of rise time and settling time regardless of the nonlinearities.

Ayman A. Aly

2012-10-01

95

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.

96

Design of a Multiloop One-Spot Tuning PID Controller and Its Application for a Crude Distillation Unit  

Science.gov (United States)

In petroleum refineries and petrochemical processes, the production cost reduction is a key matter in improving competitiveness. Previously, the authors proposed the cyclic one-spot tuning PID control scheme for single-input and single-output systems, and applied it to the atmospheric distillation tower. The effectiveness of the proposed control scheme has been verified in steady operation mode. However, satisfactory performance could not be obtained when the operation mode was switched to transition operation mode. In order to overcome this problem, it is necessary to consider the influence of the interactions upon each input and each output. This paper presents a new multiloop one-spot tuning PID control scheme with a static pre-compensator. According to the newly proposed control scheme, satisfactory control performance can be obtained in both the steady and the transition operation modes.

Fujii, Kenzo; Yamamoto, Toru

97

Intelligent PID Controller on Soft Computing  

Directory of Open Access Journals (Sweden)

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.

Honghua Xu

2012-10-01

98

Remote PID control of a DC Motor  

Digital Repository Infrastructure Vision for European Research (DRIVER)

This paper presents a remote experiment for controlling a DC motor. This work was part of a final year graduation project of the Industrial Electronics Course at the University of Minho. It was implemented by an undergraduate student for student use. The experiment is controlled using a PID algorithm programmed in LabView environment. The remote user can test PID digital algorithms and parameters, change reference velocity values and register the motor output velocity profile.

Silva, V.; Carvalho, V.; Vasconcelos, R. M.; Soares, F.

2007-01-01

99

DISEÑO E IMPLEMENTACIÓN DE UNA PLATAFORMA EXPERIMENTAL DE DOS GRADOS DE LIBERTAD CONTROLADA POR DOS TÉCNICAS: PID Y LÓGICA DIFUSA / DESIGN AND IMPLEMENTATION OF AN EXPERIMENTAL PLATFORM WITH TWO DEGREES OF FREEDOM CONTROLLED BY TWO TECHNIQUES: PID & FUZZY LOGIC  

Scientific Electronic Library Online (English)

Full Text Available SciELO Colombia | Language: Spanish Abstract in spanish 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.

Leonardo, Solaque Guzmán; Cristhian Andrey, Cristancho Cardozo; Camilo Andrés, Gil Cárdenas.

100

DISEÑO E IMPLEMENTACIÓN DE UNA PLATAFORMA EXPERIMENTAL DE DOS GRADOS DE LIBERTAD CONTROLADA POR DOS TÉCNICAS: PID Y LÓGICA DIFUSA / DESIGN AND IMPLEMENTATION OF AN EXPERIMENTAL PLATFORM WITH TWO DEGREES OF FREEDOM CONTROLLED BY TWO TECHNIQUES: PID & FUZZY LOGIC  

Scientific Electronic Library Online (English)

Full Text Available SciELO Colombia | Language: Spanish Abstract in spanish 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.

Leonardo, Solaque Guzmán; Cristhian Andrey, Cristancho Cardozo; Camilo Andrés, Gil Cárdenas.

2014-01-01

 
 
 
 
101

Tuning Of PID Controller Of Inverted Pendulum Using Genetic Algorithm  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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...

Kunal Chakraborty; Rabi Ranjan Mukherjee; Suvobratra Mukherjee

2013-01-01

102

Designing a Robust and Adaptive PID Controller for Gas Turbine Connected to the Generator  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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 ar...

Mohsen Khalilpour; Khalil Valipour; Hossein Shayeghi; Navid Razmjooy

2013-01-01

103

Modeling, Design and Implement of Steering Fuzzy PID Control System for DORIS Robot  

Directory of Open Access Journals (Sweden)

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.

Khaled Sailan

2014-01-01

104

FPGA Based Modified Fuzzy PID Controller for Pitch Angle of Bench-top Helicopter  

Directory of Open Access Journals (Sweden)

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

A.A. Aldair

2012-01-01

105

Wind turbine pitch control using ICPSO-PID algorithm  

DEFF Research Database (Denmark)

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.

Shen, Wen Zhong

2013-01-01

106

A Real Time IMC Tuned PID Controller for DC Motor  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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...

Saranya, M.; Pamela, Asst Prof D.

2012-01-01

107

Novel intelligent PID control of traveling wave ultrasonic motor.  

Science.gov (United States)

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

Jingzhuo, Shi; Yu, Liu; Jingtao, Huang; Meiyu, Xu; Juwei, Zhang; Lei, Zhang

2014-09-01

108

Implementation of PID and Fuzzy PID controllers for Temperature control in CSTR  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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...

Srinivasulu Raju, S.; Ravi Kiran, T. K. S.; Chaitanya Kumar Reddy, K. M. N.; Viswanath, M.

2013-01-01

109

Robust multivariable pid design via iterative lmi / Diseño de pid multivariable robusto usando lmi iterativas  

Scientific Electronic Library Online (English)

Full Text Available SciELO Venezuela | Language: English Abstract in spanish 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.

ERNESTO, GRANADO; WILLIAM, COLMENARES; OMAR, PÉREZ.

110

Stability Region Analysis of PID and Series Leading Correction PID Controllers for the Time Delay Systems  

Directory of Open Access Journals (Sweden)

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.

D. RAMA REDDY

2012-07-01

111

A Real Time IMC Tuned PID Controller for DC Motor  

Directory of Open Access Journals (Sweden)

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.

M.SARANYA

2012-04-01

112

A satellite digital controller or 'play that PID tune again, Sam'. [Position, Integral, Derivative feedback control algorithm for design strategy  

Science.gov (United States)

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.

Seltzer, S. M.

1976-01-01

113

Modeling Of Pid Controller Based Smps Using Fpga  

Directory of Open Access Journals (Sweden)

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

SHUBHANGI V.PATIL

2013-02-01

114

A Practical Application of IMC-PID Controller in Unmanned Vehicle  

Directory of Open Access Journals (Sweden)

Full Text Available 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 for speed. Based on the build object theoretical model, online simulation controller show that, for the design objects, based on the internal model PID controller whether the system step response or disturbance tracking control effect can reach the classic PID control requirements, also reduces the complexity and randomness of the design parameters.

Qin Gang

2013-06-01

115

Application of Improved Genetic Algorithm in PID Controller Parameters Optimization  

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Full Text Available Ying Chen, Yong-jie Ma, Wen-xia Yun College of Physics and Electronic Engineering, Northwest Normal University, Anning Road no.967 ,Lanzhou,China,0931-7971503 e-mail:chenying1386685@126.com Abstract The setting and optimization of Proportion Integration Differentiation(PID parameters have been always the important study topics in the automatic control field. The current optimization design methods are often difficult to consider the system requirements for quickness ,reliability and robustness .So a method of PID controller parameters optimization based on Improved Genetic Algorithm(IGA is presented .Simulations with Matlab have proved that the control performance index based on IGA is better than that of the GA method and Z-N method, and is a method which has good practical value of the PID parameter setting and optimization .

Ying Chen

2013-01-01

116

Design PID-Like Fuzzy Controller With Minimum Rule Base and Mathematical Proposed On-line Tunable Gain: Applied to Robot Manipulator  

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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.

Farzin Piltan, N. Sulaiman, Arash Zargari, Mohammad Keshavarz & Ali Badri

2011-10-01

117

Setpoint Weighted PID Controller for the Electromechanical Actuator in Spacecraft  

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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.

R. Sumathi

2014-05-01

118

ROBUST INTERNAL MODEL CONTROL STRATEGY BASED PID CONTROLLER FOR BLDCM  

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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.

A.PURNA CHANDRA RAO

2010-11-01

119

ROBUST INTERNAL MODEL CONTROL STRATEGY BASED PID CONTROLLER FOR BLDCM  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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...

Purna Chandra Rao, A.; Y. P. OBULESU,; CH. SAI BABU

2010-01-01

120

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

 
 
 
 
121

Tuning of PID Controller for A Linear Brushless DC Motor using Swarm Intelligence Technique  

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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.

Pooja Sharma,

2014-05-01

122

Design of a temperature control system using incremental PID algorithm for a special homemade shortwave infrared spatial remote sensor based on FPGA  

Science.gov (United States)

An image spectrometer of a spatial remote sensing satellite requires shortwave band range from 2.1?m to 3?m which is one of the most important bands in remote sensing. We designed an infrared sub-system of the image spectrometer using a homemade 640x1 InGaAs shortwave infrared sensor working on FPA system which requires high uniformity and low level of dark current. The working temperature should be -15+/-0.2 Degree Celsius. This paper studies the model of noise for focal plane array (FPA) system, investigated the relationship with temperature and dark current noise, and adopts Incremental PID algorithm to generate PWM wave in order to control the temperature of the sensor. There are four modules compose of the FPGA module design. All of the modules are coded by VHDL and implemented in FPGA device APA300. Experiment shows the intelligent temperature control system succeeds in controlling the temperature of the sensor.

Xu, Zhipeng; Wei, Jun; Li, Jianwei; Zhou, Qianting

2010-11-01

123

Tuning Of PID Controller Of Inverted Pendulum Using Genetic Algorithm  

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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.

Kunal Chakraborty

2013-03-01

124

Predictive PID Control Based on GPC Control of Inverted Pendulum  

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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.

Safa Bouhajar

2014-05-01

125

Diseño de controladores de tipo proporcional integral derivativo (PID) y difuso para la posición de un motor de corriente continua (DC) / PID and Fuzzy Controller Design for DC Motor Positioning / Desenho de controladores de tipo proporcional integral derivativo (PID) e difuso para a posição de um motor de corrente continua (DC)  

Scientific Electronic Library Online (English)

Full Text Available SciELO Colombia | Language: Spanish Abstract in portuguese 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.

José Danilo, Rairán-Antolines; Cindy Estéfany, Guerrero-Cifuentes; Jaime Alfredo, Mateus-Pineda.

2010-01-01

126

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

127

Real/binary co-operative and co-evolving swarms based multivariable PID controller design of ball mill pulverizing system  

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.

128

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

129

Optimization for PID Control Parameters on Hydraulic Servo Control System Based on Artificial Bee Colony Optimization Algorithm  

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Full Text Available 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 optimization of the three parameters of PID controller of electric-hydraulic servo system of 6-DOF parallel platform. Simulation results show that the proposed parameter optimum method is an effective tuning strategy and has good performance.

Youxin Luo

2012-03-01

130

A New Fuzzy Sliding Mode Controller with PID Sliding Surface for Underwater Manipulators  

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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....

Hossein Nejatbakhsh Esfahani; Vahid Azimirad

2013-01-01

131

Soft Real-Time PID Control on a VME Computer  

Science.gov (United States)

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.

Karayan, Vahag; Sander, Stanley; Cageao, Richard

2007-01-01

132

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)

133

Fuzzy PID Controllers Using FPGA Technique for Real Time DC Motor Speed Control  

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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 controllersPID 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.

Basil Hamed Hamed

2011-08-01

134

HIERARCHICAL FUZZY PID CONTROLLER USING GRANULAR COMPUTING FOR INVERTED PENDULUM  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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...

Pottem Sai Tharun, M. J. Nigam

2013-01-01

135

ANFIS-PID Control FES-Supported Sit-to-Stand in Paraplegics: (Simulation Study  

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Full Text Available 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 controllers were developed: open loop and feedback controllers. The results showed that ANFIS-PID controller not only succeeded in controlling knee joint motion during sit to stand movement, but also reduced the deviations between desired trajectory and actual knee movement to ±5°. Promising simulation results provide the potential for feasible clinical application in the future.

Rufaida Hussain

2014-03-01

136

Remote PID Control of a DC Motor  

Directory of Open Access Journals (Sweden)

Full Text Available This paper presents a remote experiment forcontrolling a DC motor. This work was part of a final yeargraduation project of the Industrial Electronics Course atthe University of Minho. It was implemented by anundergraduate student for students use. The experiment iscontrolled using a PID algorithm programmed in LabViewenvironment. The remote user can test PID digitalalgorithms and parameters, change reference velocity valuesand register the motor output velocity profile.

V. Silva

2007-08-01

137

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.

138

Piecewise-linear artificial neural networks for PID controller tuning  

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Full Text Available A new algorithm of PID controller tuning is presented in this paper. It is well known that there have been introduced manytechniques for PID controller tuning, both theoretical and experimental ones. However, this algorithm is suitable especially forhighly nonlinear processes. It uses a model of the controlled process in the shape of piecewise-linear neural network which islinearized continuously and resulting linearized model is used for PID controller online tuning. While at the beginning of the paperthe algorithm is described in theory, at the end there are mentioned some practical applications

Petr Doležel

2012-12-01

139

Model-free control and intelligent PID controllers: towards a possible trivialization of nonlinear control?  

CERN Document Server

We are introducing a model-free control and a control with a restricted model for finite-dimensional complex systems. This control design may be viewed as a contribution to "intelligent" PID controllers, the tuning of which becomes quite straightforward, even with highly nonlinear and/or time-varying systems. Our main tool is a newly developed numerical differentiation. Differential algebra provides the theoretical framework. Our approach is validated by several numerical experiments.

Fliess, Michel

2009-01-01

140

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.

 
 
 
 
141

Energy Analysis of Pid Controlled Heat Pump Dryer  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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...

Ceylan, Ilhan

2009-01-01

142

Interval type-2 fuzzy PID controller for uncertain nonlinear inverted pendulum system.  

Science.gov (United States)

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

El-Bardini, Mohammad; El-Nagar, Ahmad M

2014-05-01

143

Variable Structure PID Control to Prevent Integrator Windup  

Science.gov (United States)

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.

Hall, C. E.; Hodel, A. S.; Hung, J. Y.

1999-01-01

144

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

145

PID Self-Tuning Controllers Used in Different Structures of the Control Loops  

Directory of Open Access Journals (Sweden)

Full Text Available The paper investigates the behavior of digital PID self-tuning controllers (STC in different structures of the control loops used in adaptive systems. In the two phases of this type of systems which use a STC-PID, the first phase, i.e. the task of recursive identification of the plant model parameters, is used a regression (ARX model with the recursive least squares method. Because the quality of process model depends on the order of the ARX model and of the sample period (Ts, the digital PID parameters are functions of these variables and, supplementary, of continuous-time PID parameters and of the control loop structures used in the adaptive system (although, not so largely as the firstly three variables. To see the latter influence, in this paper are considered two control loop block diagram, and for simulations - three different processes (stable; with no minimum phase; unstable, and some simulations with different . The PID controller design method used to obtain the specs desired for control loop dynamic behavior was the pole assignment method of the loop.

Viorel DUGAN

2008-12-01

146

Genetic Algorithm and Fuzzy Tuning PID Controller Applied on Speed Control System for Marine Diesel Engines  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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 d...

Naeim Farouk

2012-01-01

147

A finite element analysis approach with integrated PID control for simultaneous precision positioning and vibration suppression of smart structures  

Science.gov (United States)

This paper focuses on the development of an ANSYS finite element analysis (FEA) environment with integrated PID control scheme for simultaneous precision positioning and vibration suppression of smart composite structures with piezoelectric flat patches acting as actuators. This environment includes three modules: structural modeling, PID controller design, and dynamic analysis of smart structures. Two types of PID controllers are investigated, namely, PID vibration suppression (PID-VS) controller and PID simultaneous precision positioning and vibration suppression (PIDSPPVS) controller. The PID-VS controller is suitable to perform only vibration suppression with no positioning capability. The PID-SPPVS controller is equipped with SPPVS capabilities. The characteristics of individual control gains and their behavior with respect to each other for the two PID controllers are also studied. The gain selection for the PID-VS controller is based on obtaining the best VS while the gain selection for the PID-SPPVS controller is based on achieving the best positioning accuracy and VS simultaneously. In this study, a horizontal cantilevered graphite/epoxy composite beam with one surface-mounted ACX piezoelectric flat patch located at the beam root is first modeled. Next, the FE modal analysis is performed to determine the natural frequencies and hence the time step interval needed for the FE transient analysis. During the transient analysis, the mid-point of the beam tip is subjected to different types of external excitations such as sine loadings with different frequencies as well as random forces to evaluate the two PID controller performances. It is demonstrated that the FEA model with integrated PID-SPPVS controller is able to reach the desired position in a much shorter time in comparison to the PID-VS controller. Vibration amplitude reduction capabilities for the both PID controllers are very similar, although the PID-VS controller performs slightly better. This study also implies that the integrated FEA environment, consisting of the structural modeling of active composite structures with piezoelectric flat patches, modal and transient analyses, controller design, and simulation, provides a powerful tool for the design, analysis, and control of smart structures with SPPVS capabilities.

Russ, Richard; Ma, Kougen; Ghasemi-Nejhad, Mehrdad N.

2006-03-01

148

CONTROL OF CONCENTRATION IN CSTR USING DMC AND CONVENTIONAL PID BASED ON RELAY FEEDBACK METHOD  

Directory of Open Access Journals (Sweden)

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.

S. SRINIVASULU RAJU

2013-04-01

149

The control of a fast reflection mirror based on an immune genetic PID algorithm  

Science.gov (United States)

A brief introduction of an optic-electronic tracking system using a fast reflection mirror is presented, the design of the fast reflection mirror control system, based on immune genetic PID algorithm, is described. Besides the ability of a stochastic global searching of simple genetic algorithm, the immune genetic algorithm used involves mechanisms which exist in biological immune systems, such as antigen memory, antibody encouragement and restraint, antibody diversity keeping, etc. By combining an algorithm of biological immunity with a genetic algorithm, a kind of optimal computing model is proposed based on a genetic mechanism of immunity. Taking immune genetic algorithm as a base, the optimal parameters of a PID controller are obtained. The simulation results of an immune genetic PID algorithm for the tracking system using a fast reflection mirror are presented, which show that the fast reflection mirror control system based on an immune genetic PID algorithm possesses superior qualities, indicating good prospects of application.

Huang, Yourui; Ling, Liuyi

2005-12-01

150

Genetic Algorithm based PID controller for Frequency Regulation Ancillary services  

Directory of Open Access Journals (Sweden)

Full Text Available In this paper, the parameters of Proportional, Integral and Derivative (PID controller for Automatic Generation Control (AGC suitable in restructured power system is tuned according to Generic Algorithms (GAs based performance indices. The key idea of the proposed method is to use the fitness function based on Area Control Error (ACE. The functioning of the proposed Genetic Algorithm based PID (GAPID controller has been demonstrated on a 75-bus Indian power system network and the results have been compared with those obtained by using Least Square Minimization method.

Sandeep Bhongade

2010-12-01

151

SIMULATION AND IMPLEMENTATION OF PID-ANN CONTROLLER FOR CHOPPER FED EMBEDDED PMDC MOTOR  

Directory of Open Access Journals (Sweden)

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.

M. Madheswaran

2012-04-01

152

Optimal Tuning of Fractional Order PID Controller for DC Motor Speed Control Using Particle Swarm Optimization  

Directory of Open Access Journals (Sweden)

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.

Ankit Rastogi,

2013-05-01

153

Comparison of Controller Performance of Fuzzy with PID for a Level Control of Conical Tank System  

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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.

A.Srividya

2013-05-01

154

A normalized PID controller in networked control systems with varying time delays.  

Science.gov (United States)

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

Tran, Hoang-Dung; Guan, Zhi-Hong; Dang, Xuan-Kien; Cheng, Xin-Ming; Yuan, Fu-Shun

2013-09-01

155

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.)

156

Fast Response Systems Using Feed Forward Loop for Fuzzy Tuned PID Controllers  

Directory of Open Access Journals (Sweden)

Full Text Available The temperature during heating processes more essential in oil quantity .Many of the research effort they developed new control technique to control and regulate the steam temperature in industries. This seems to be because PID controllers is simple structure, assure acceptable performances for a wide range of industrial plants and their usage (the tuning of their parameters is well known among industrial operators. PID with FLC with combination of this we neglected the steady sate errors. PID controllers are particularly suited for pure first- or second-order processes, while industrial plants often present characteristics such as high order, time delays, nonlinearities and so on challenges during design the PID is to tune the PID parameters gain that suite to the plant. To overcome this problem, feed forward tuning PID using the fuzzy logic controller with self-tuning method is utilized to regulate the steam temperature. It gives good process dynamic characteristic which are process rise time, process settling time, percent overshoot and less steady state error. The ability to track any parameters changes and has fast recovery the output response during disturbance period.

M.Tharangini

2014-08-01

157

Simulation and Tuning of PID Controllers using Evolutionary Algorithms  

Directory of Open Access Journals (Sweden)

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.

K.R.S. Narayanan

2012-10-01

158

Study of Immune PID Networked Control System Based on TrueTime  

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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.

Daogang Peng

2011-06-01

159

LHCb PID Upgrade Technical Design Report  

CERN Document Server

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.

LHCb Collaboration

2013-01-01

160

Particle Swarm Optimization Based Fuzzy-Neural Like PID Controller for TCP/AQM Router  

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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.

Shahad A. Sadeq

2012-02-01

 
 
 
 
161

Split PID control: two sensors can be better than one  

CERN Document Server

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.

Znaimer, Leith

2014-01-01

162

Comparison of PID and Fuzzy Controlled DC to DC Converter with Inductor Resistance.  

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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.

R.Anand

2013-08-01

163

Genetic Algorithm and Fuzzy Tuning PID Controller Applied on Speed Control System for Marine Diesel Engines  

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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.

Naeim Farouk

2012-11-01

164

Vibration Control of Bus Suspension System using PI and PID Controller  

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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.

Swati Gaur

2013-07-01

165

Setting Up PID DC Motor Speed Control Alteration Parameters Using Particle Swarm Optimization Strategy  

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Full Text Available In this paper, an intelligent controller of DC Motor drive is designed using particle swarm optimization (PSO method for formative the optimal proportional-integral-derivative (PID controller Tuning parameters. The proposed approach has superior feature, including easy implementation, stable convergence characteristics and very good computational performances efficiency. The DC Motor Scheduling PID-PSO controller is modeled in MATLAB environment. Comparing with fuzzy logic controller using PSO intelligent algorithms, the planned method 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 motor with no overtaking.

Boumediène ALLAOUA

2009-07-01

166

Intelligent self-tuning of PID control for the robotic testing system for human musculoskeletal joints test.  

Science.gov (United States)

In this paper, an intelligent proportional-integral-derivative (PID) control method is introduced to the robotic testing system for the biomechanical study of human musculoskeletal joints. For the testing system, the robot is a highly nonlinear and heavily coupled complicated system, and the human spinal specimen also demonstrates nonlinear property when undergoing testing. Although the conventional PID control approach is extensively used in most industrial control systems, it will break down for nonlinear systems, particularly for complicated systems that have no precise mathematical models. To overcome those difficulties, an intelligent fuzzy PID controller is proposed replacing the widely used conventional PID controllers. The fuzzy PID algorithm is outlined using the fuzzy set theory. The design techniques are developed based on the linguistic phase plane approach. The heuristic rules of syntheses are summarized into a rule-based expert system. Experiments are carried out and the results demonstrate the good performance of the robotic testing system using the proposed control method. PMID:15255220

Tian, Lianfang

2004-06-01

167

Development of a GA-fuzzy-immune PID controller with incomplete derivation for robot dexterous hand.  

Science.gov (United States)

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

Liu, Xin-hua; Chen, Xiao-hu; Zheng, Xian-hua; Li, Sheng-peng; Wang, Zhong-bin

2014-01-01

168

PID Controller Settings Based on a Transient Response Experiment  

Science.gov (United States)

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

Silva, Carlos M.; Lito, Patricia F.; Neves, Patricia S.; Da Silva, Francisco A.

2008-01-01

169

Speed Control of Bldc Motor Drive By Using Pid Controllers  

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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.

Y.Narendra Kumar,

2014-04-01

170

Automatic Tuning of PID Controller for a 1-D Levitation System Using a Genetic Algorithm :  a Real Case Study  

DEFF Research Database (Denmark)

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.

Yang, Zhenyu; Pedersen, Gerulf K.m.

2006-01-01

171

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

172

The application of variable universe fuzzy PID controller in computer-aided alignment of lithography projector  

Science.gov (United States)

A variable universe fuzzy PID algorithm is designed to control the misalignment of the lithography projection optics to meet the requirement of high image quality. This paper first simulates the alignment of Schwarzschild objective designed by us. Secondly, the variable universe fuzzy PID control is introduced to feed back the misalignment of Schwarzschild objective to the control system to drive the stage which holds the objective. So the position can be adjusted automatically. This feedback scheme can adjust the variables' universe self-adaptively by using fuzzy rules so that the concrete function and parameters of the contraction-expansion factor are not necessary. Finally, the proposed approach is demonstrated by simulations. The results show that, variable universe fuzzy PID method exhibits better performance in both improving response speed and decreasing overshoot compared to conventional PID and fuzzy PID control methods. In addition, the interference signal can be effectively restrained. It is concluded that this method can improve the dynamic and static properties of system and meet the requirement of fast response.

Zhang, Mei; Zheng, Meng; Li, Yanqiu

2013-12-01

173

A PID Sliding Mode Control for Ropeless Elevator Maglev Guiding System  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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 appli...

Hadi Afsharirad; Mohammad Bagher Bana Sharifian; Hasan Alipour

2012-01-01

174

Application of a PID controller based on fuzzy logic to reduce variations in the control parameters in PWR reactors  

Energy Technology Data Exchange (ETDEWEB)

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)

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

175

Application of a PID controller based on fuzzy logic to reduce variations in the control parameters in PWR reactors  

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)

176

Control of a Quadrotor Using a Smart Self-Tuning Fuzzy PID Controller  

Directory of Open Access Journals (Sweden)

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.

Deepak Gautam

2013-11-01

177

Adaptive PID formation control of nonholonomic robots without leader's velocity information.  

Science.gov (United States)

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

Shen, Dongbin; Sun, Weijie; Sun, Zhendong

2014-03-01

178

Comparative evaluation of sliding mode fuzzy controller and PID controller for a boost converter  

Energy Technology Data Exchange (ETDEWEB)

Nonlinear controllers such as fuzzy controllers and sliding mode controllers have been applied to boost converters because of their nonlinear properties. Although both fuzzy and sliding mode controllers have desirable characteristics, they have disadvantages in practice when applied individually. A sliding mode fuzzy controller is proposed to control boost converters. The sliding mode fuzzy controller combines the advantages of both fuzzy controllers and sliding mode controllers. It also has advantages of its own that are well suited for digital control design and implementation. A sliding mode fuzzy controller is designed and verified with experimental results using a prototype boost converter with a DSP-based digital controller. Experimental results of the boost converter using sliding mode fuzzy control are evaluated in comparison with experimental results using a linear PID and PI controller. The comparison indicates that the sliding mode fuzzy controller is able to obtain the desired transient response under varying operating points without chattering. The startup response using sliding mode fuzzy control is superior to the response using PID and PI control, while the load transient response shows no obvious advantage. (author)

Guo, Liping [Department of Technology, SG 203, Northern Illinois University, DeKalb, IL 60115 (United States); Hung, John Y.; Nelms, R.M. [Department of Electrical and Computer Engineering, Auburn University, AL 36849-5201 (United States)

2011-01-15

179

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

180

Design and implementation of a 2-DOF PID compensation for magnetic levitation systems.  

Science.gov (United States)

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

Ghosh, Arun; Rakesh Krishnan, T; Tejaswy, Pailla; Mandal, Abhisek; Pradhan, Jatin K; Ranasingh, Subhakant

2014-07-01

 
 
 
 
181

Cascade control of superheated steam temperature with neuro-PID controller.  

Science.gov (United States)

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

Zhang, Jianhua; Zhang, Fenfang; Ren, Mifeng; Hou, Guolian; Fang, Fang

2012-11-01

182

A New Fuzzy Sliding Mode Controller with PID Sliding Surface for Underwater Manipulators  

Directory of Open Access Journals (Sweden)

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.

Hossein Nejatbakhsh Esfahani

2013-09-01

183

MINIMUM RULE BASED PID SLIDING MODE FUZZY CONTROL TECHNIQUES FOR BRUSHLESS DC MOTOR DRIVES  

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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.

M. Sudha

2012-09-01

184

Simulation Research of Brushless Direct Current Motor Speed System Based on Neuro-PID Position Controller  

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Full Text Available 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 of motor parameter variations, improvement of controller time response and improve­ment of drive robustness. The BLDCM drive system was simulated by using MATLAB 7.0/Simulink software package. The performance of the proposed method is compared with the conventional PID methods. At the result, the con­trol based on self-tuning Neuro-PID control has better performance than the conventional PID controller.

Xiang Li

2009-02-01

185

Energy Analysis of Pid Controlled Heat Pump Dryer  

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Full Text Available 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 water / g dry matter for avocado and 4.71 g water / g dry matter for banana. Then tropical fruits were dried separately in heat pump dryer. Drying air temperature was kept unchanged with the error of +0.2 oC. Drying air velocity changed between 0.3 and 0.4 m/s in a period of 310 min. COPws of the heat pump dryer was calculated as 2.49 for kiwi, 2.47 for banana and 2.41 for avocado during the experiments. EUR changed between 13 % and 28 % for kiwi, 18% and 33% for avocado and 13% and 42% for banana in heat pump dryer.

Ilhan CEYLAN

2009-11-01

186

Automatic Generation Control of Multi Area Power System Using PID Controller  

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Full Text Available 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 by fine tuning of the controller. Now a days various simulation software is widely used for this purpose of parameter settings. MATLAB Simulation software can also be used for fine tuning of the PID controller. So by using MATLAB Simulation tools a method is proposed for fine tuning of PID controller.

Reena Kumari 1 , Mr. Ram Avtar

2013-05-01

187

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

188

MINIMUM RULE BASED PID SLIDING MODE FUZZY CONTROL TECHNIQUES FOR BRUSHLESS DC MOTOR DRIVES  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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...

Sudha, M.; Navaneethakkannan, C.

2012-01-01

189

Particle Swarm Optimization Based Fuzzy-Neural Like PID Controller for TCP/AQM Router  

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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...

Sadeq, Shahad A.; Al-faiz, Mohammed Z.

2012-01-01

190

Speed Control of Separately Excited D.C. Motor using Self-Tuned Parameters of PID Controller  

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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.

A. K. Mansoor

2013-05-01

191

Tuning PID and FOPID Controllers using the Integral Time Absolute Error Criterion  

CERN Document Server

Particle swarm optimization (PSO) is extensively used for real parameter optimization in diverse fields of study. This paper describes an application of PSO to the problem of designing a fractional-order proportional-integral-derivative (FOPID) controller whose parameters comprise proportionality constant, integral constant, derivative constant, integral order (lambda) and derivative order (delta). The presence of five optimizable parameters makes the task of designing a FOPID controller more challenging than conventional PID controller design. Our design method focuses on minimizing the Integral Time Absolute Error (ITAE) criterion. The digital realization of the deigned system utilizes the Tustin operator-based continued fraction expansion scheme. We carry out a simulation that illustrates the effectiveness of the proposed approach especially for realizing fractional-order plants. This paper also attempts to study the behavior of fractional PID controller vis-a-vis that of its integer order counterpart and ...

Maiti, Deepyaman; Chakraborty, Mithun; Konar, Amit; Janarthanan, Ramadoss

2008-01-01

192

Genetic Algorithm Tuning of PID Controller in Smith Predictor for Glucose Concentration Control  

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Full Text Available This paper focuses on design of a glucose concentration control system based on nonlinear model plant of E. coli MC4110 fed-batch cultivation process. Due to significant time delay in real time glucose concentration measurement, a correction is proposed in glucose concentration measurement and a Smith predictor (SP control structure based on universal PID controller is designed. To reduce the influence of model error in SP structure the estimate of measured glucose concentration is used. For the aim an extended Kalman filter (EKF is designed. To achieve good closed-loop system performance genetic algorithm (GA based optimal controller tuning procedure is applied. A standard binary encoding GA is applied. The GA parameters and operators are specified for the considered here problem. As a result the optimal PID controller settings are obtained. The simulation experiments of the control systems based on SP with EKF and without EKF are performed. The results show that the control system based on SP with EKF has a better performance than the one without EKF. For a short time the controller sets the control variable and maintains it at the desired set point during the cultivation process. As a result, a high biomass concentration of 48.3 g·l-1 is obtained at the end of the process.

Tsonyo Slavov

2011-07-01

193

A Novel Fractional Order Fuzzy PID Controller and Its Optimal Time Domain Tuning Based on Integral Performance Indices  

CERN Document Server

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.

Das, Saptarshi; Das, Shantanu; Gupta, Amitava; 10.1016/j.engappai.2011.10.004

2012-01-01

194

Robust PID based power system stabiliser: Design and real-time implementation  

Energy Technology Data Exchange (ETDEWEB)

This paper addresses a new robust control strategy to synthesis of robust proportional-integral-derivative (PID) based power system stabilisers (PSS). The PID based PSS design problem is reduced to find an optimal gain vector via an H{infinity} static output feedback control (H{infinity}-SOF) technique, and the solution is easily carried out using a developed iterative linear matrix inequalities algorithm. To illustrate the developed approach, a real-time experiment has been performed for a longitudinal four-machine infinite-bus system using the Analog Power System Simulator at the Research Laboratory of the Kyushu Electric Power Company. The results of the proposed control strategy are compared with full-order H{infinity} and conventional PSS designs. The robust PSS is shown to maintain the robust performance and minimise the effect of disturbances properly. (author)

Bevrani, Hassan [Department of Electrical and Computer Eng., University of Kurdistan, Sanandaj (Iran, Islamic Republic of); Hiyama, Takashi [Department of Electrical and Computer Eng., Kumamoto University, Kumamoto (Japan); Bevrani, Hossein [Department of Statistics, University of Tabriz, Tabriz (Iran, Islamic Republic of)

2011-02-15

195

Application of self-adjustment PID fuzzy controller in inverter air-conditioning control system  

Science.gov (United States)

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.

Jiang, Jing; Zhang, Xuesong

2013-03-01

196

Temperature Control System of Screw Air Compressor Based on Fuzzy PID Control Theory  

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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.

Mingbo Lv

2011-11-01

197

Simulation Comparison of Auto-Tuning Methods for PID Control  

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Auto-tuning has become an important function in distributed control systems (DCS) and is especially appreciated in large industries that can have hundreds of controllers. In the DCS 800xA manufactured by ABB, there is an auto-tuning method implemented based on a relay experiment to determine the ultimate gain and the ultimate period, with which the PID parameters are obtained using the modified Ziegler-Nichols tuning rules. The tuning procedure can then proceed with a step identification expe...

Olsson, Markus

2008-01-01

198

A Proportional Integral Derivative (PID Feedback Control without a Subsidiary Speed Loop  

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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. 

M. Aboelhassan

2008-01-01

199

Avaliação de controles PID adaptativos para um sistema de aquecimento resistivo de água / Evaluation of adaptive PID controls for a resistive system of heating water  

Scientific Electronic Library Online (English)

Full Text Available SciELO Brazil | Language: Portuguese Abstract in portuguese 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.

Maria Isabel, Berto; Fabiana Rodrigues de, Sá; Vivaldo, Silveira Jr..

200

Decentralized PI/PID controllers based on gain and phase margin specifications for TITO processes.  

Science.gov (United States)

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

Maghade, D K; Patre, B M

2012-07-01

 
 
 
 
201

An optimal design of open-and-close-loop PID-type ILC algorithm  

Science.gov (United States)

Iterative learning control (ILC for short) is a simple and effective method for the control of systems that perform the same task repetitively. ILC algorithm uses the repetitiveness of the task to track the desired trajectory. In this paper, we assume that a measured finite impulse response series of the plant to be controlled are available. We propose an optimal design method of PID (proportional plus integral and derivative tracking error) type ILC update law, and a current cycle error assisted open ILC scheme is presented which is also called open and close loop PID type algorithm. By adding close loop scheme, the whole algorithm has better performance both in stability and convergence than the open loop one alone. The using of current iteration tracking error (CITE) also helps to get faster convergence rate. Furthermore, the effectiveness of the proposed method is illustrated by introducing some simulation experiments.

Xu, Jinxue; Sun, Lili; Cai, Tianyou

2003-09-01

202

Developing e-course Robust Constrained PID Control  

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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.

Peter ?apák

2011-04-01

203

Robust decentralized PID-based power system stabilizer design using an ILMI approach  

Energy Technology Data Exchange (ETDEWEB)

Thanks to its essential functionality and structure simplicity, proportional-integral-derivative (PID) controllers are commonly used by industrial utilities. A robust PID-based power system stabilizer (PSS) is proposed to properly function over a wide range of operating conditions. Uncertainties in plant parameters, due to variation in generation and load patterns, are expressed in the form of a polytopic model. The PID control problem is firstly reduced to a generalized static output feedback (SOF) synthesis. The derivative action is designed and implemented as a high-pass filter based on a low-pass block to reduce its sensitivity to sensor noise. The proposed design algorithm adopts a quadratic Lyapunov approach to guarantee {alpha}-decay rate for the entire polytope. A constrained structure of Lyapunov function and SOF gain matrix is considered to enforce a decentralized scheme. Setting of controller parameters is carried out via an iterative linear matrix inequality (ILMI). Simulation results, based on a benchmark model of a two-area four-machine test system, are presented to compare the proposed design to a well-tuned conventional PSS and to the standard IEEE-PSS4B stabilizer. (author)

Soliman, M.; Bendary, F.; Mansour, W. [Electrical Power and Machines Dept., Faculty of Engineering, Benha university, 108 Shoubra St., Cairo (Egypt); Elshafei, A.L. [Electrical Power and Machines Dept., Cairo University, Gamma St, Giza (Egypt)

2010-12-15

204

Application of a Pid+fuzzy controller on the motion control system in machine tools  

Scientific Electronic Library Online (English)

Full Text Available SciELO Brazil | Language: English Abstract in english 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.

H. B., Lacerda; E. M., Belo.

205

Application of a Pid+fuzzy controller on the motion control system in machine tools  

Directory of Open Access Journals (Sweden)

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.

Lacerda H. B.

1999-01-01

206

Application of a Pid+fuzzy controller on the motion control system in machine tools  

Scientific Electronic Library Online (English)

Full Text Available SciELO Brazil | Language: English Abstract in english 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.

H. B., Lacerda; E. M., Belo.

1999-09-01

207

Global Asymptotic Stability of the Classical PID Controller by Considering Saturation Effects in Industrial Robots  

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Full Text Available 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 practical robots, the classical PID becomes a type of saturated nonlinear PID controller. In this work such a nonlinear PID controller with bounded torques for robot manipulators is proposed. This controller, unlike other saturated nonlinear PID controllers previously proposed, uses a single saturation for the three terms of the controller. Global asymptotical stability is proved via Lyapunov stability theory. Experimental results are presented in order to observe the performance of the proposed controller.

Antonio Yarza

2011-09-01

208

Genetic Algorithm Based PID tuning for Controlling Paraplegic Humanoid Walking Movement  

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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.

Hashim Ali

2012-07-01

209

Comparative study of a learning fuzzy PID controller and a self-tuning controller.  

Science.gov (United States)

The self-organising fuzzy controller is an extension of the rule-based fuzzy controller with an additional learning capability. The self-organising fuzzy (SOF) is used as a master controller to readjust conventional PID gains at the actuator level during the system operation, copying the experience of a human operator. The application of the self-organising fuzzy PID (SOF-PID) controller to a 2-link non-linear revolute-joint robot-arm is studied using path tracking trajectories at the setpoint. For the purpose of comparison, the same experiments are repeated by using the self-tuning controller subject to the same data supplied at the setpoint. For the path tracking experiments, the output trajectories of the SOF-PID controller followed the specified path closer and smoother than the self-tuning controller. PMID:11515942

Kazemian, H B

2001-01-01

210

Hardware Implementation of Evolutionary Algorithm Assisted Digital PID Controllers for DC-DC Converters  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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...

Augustilindiya, S.; Palani, S.; Vijayarekha, K.; Breethiyeltsina, M.

2013-01-01

211

Optimization of PID Controllers Using Ant Colony and Genetic Algorithms  

CERN Document Server

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.

Ünal, Muhammet; Topuz, Vedat; Erdal, Hasan

2013-01-01

212

Adaptive PID-like Fuzzy Variable Structure Control for Uncertain MIMO Systems  

Directory of Open Access Journals (Sweden)

Full Text Available In this study, the stability analysis of the PID-like adaptive fuzzy Sliding Model Controller (SMC for a class of nonlinear uncertain MIMO systems is presented. The upper bounds of structured uncertainties and external disturbance are not needed to be known and approximated by a fuzzy inference system. To overcome the chattering problem in the conventional SMC scheme, an adaptive Proportional Integral Derivative (PID controller is designed to replace the switching part of the SMC scheme. The approximation and estimation errors are also assumed to be unknown and estimated online by using adaptive laws. The global stability and robustness of the closed-loop system is ensured by the derivation of the stability criterion based upon Lyapunovs direct method. Finally, numerical simulations for an two-link rigid robot under different controllers are provided and the results show that the proposed approach achieves satisfactory performance from the viewpoint of chattering removement and tracking accuracy.

Wang Yaonan

2011-01-01

213

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)

214

Experimental studies on active vibration control of a smart composite beam using a PID controller  

Science.gov (United States)

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).

Jovanovi?, Miroslav M.; Simonovi?, Aleksandar M.; Zori?, Nemanja D.; Luki?, Nebojša S.; Stupar, Slobodan N.; Ili?, Slobodan S.

2013-11-01

215

A Fuzzy PID Approach for the Vibration Control of the FSPM  

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Full Text Available This paper focuses on the vibration control issue of a Flexibly Supported Parallel Manipulator (FSPM, which consists of a flexible support and a rigid parallel manipulator. The distinct characteristic of an FSPM is the dynamic coupling between the rigid and flexible parts, which challenges the vibration control implemented by the rigid parallel manipulator. The research object is a 40m scale model of the Feed Support System (FSS for the Five?hundred?meter Aperture Spherical radio Telescope (FAST project, which is composed of a cable?driven parallel manipulator, an A?B rotator and a rigid Stewart manipulator, assembled in series. The cable?driven parallel manipulator is sensitive to disturbances and could lead to system vibration with a large terminal error. The rigid Stewart manipulator is designed to carry out the vibration control. Considering the time?variability, nonlinearity and dynamic coupling of an FSPM, a fuzzy proportional–integral–derivative (PID controller is introduced. The fuzzy inference rules established on the terminal error and the error change are used to adjust the PID parameters to achieve better performance. Physical experiments are carried out and the results indicate that the fuzzy PID method can effectively promote the terminal precision and maintain system stability. The control methodology proposed in this paper is quite promising for the vibration control of an FSPM.

Zhu-Feng Shao

2013-01-01

216

Optimal fuzzy logic-based PID controller for load-frequency control including superconducting magnetic energy storage units  

Energy Technology Data Exchange (ETDEWEB)

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)

Pothiya, Saravuth; Ngamroo, Issarachai [Department of Electrical Engineering, Faculty of Engineering, King Mongkut' s Institute of Technology Ladkrabang, Bangkok 10520 (Thailand)

2008-10-15

217

Optimal fuzzy logic-based PID controller for load-frequency control including superconducting magnetic energy storage units  

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

218

Online Self-Tuning Precompensation for a PID Heading Control of a Flying Robot  

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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.

Manukid Parnichkun

2008-11-01

219

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

220

Comparative Performance Analysis of PID Based NARMA-L2 and ANFIS Control for Continuous Stirred Tank Reactor  

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Full Text Available 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 control to achieve better response.

Bharti Panjwani

2013-11-01

 
 
 
 
221

Speed Control System on Marine Diesel Engine Based on a Self-Tuning Fuzzy PID Controller  

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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.

Naeim Farouk

2012-03-01

222

Implementation of motor speed control using PID control in programmable logic controller  

Science.gov (United States)

This paper presents the implementation of motor speed control using Proportional Integral Derrivative (PID) controller using Programmable Logic Controller (PLC). Proportional Integral Derrivative (PID) controller is the technique used to actively control the speed of the motor. An AC motor is used in the research together with the PLC, encoder and Proface touch screen. The model of the PLC that has been used in this project is OMRON CJIG-CPU42P where this PLC has a build in loop control that can be made the ladder diagram quite simple using function block in CX-process tools. A complete experimental analysis of the technique in terms of system response is presented. Comparative assessment of the impact of Proportional, Integral and Derivative in the controller on the system performance is presented and discussed.

Samin, R. E.; Azmi, N. A.; Ahmad, M. A.; Ghazali, M. R.; Zawawi, M. A.

2012-11-01

223

Intelligent Robust Feed-forward Fuzzy Feedback Linearization Estimation of PID Control with Application to Continuum Robot  

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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.

Afsaneh Salehi

2013-05-01

224

Multi-Drive Paper System Control Based on Multi-Input Multi-Output PID Controller  

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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.

Boumediène ALLAOUA

2010-12-01

225

Study on PID control system based on fuzzy self-adaptive parameter-adjusting technique of once-through steam generator  

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)

226

Active vibration control of a piezoelectric beam using PID controller: Experimental study  

Scientific Electronic Library Online (English)

Full Text Available SciELO Brazil | Language: English Abstract in english 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.

Najeeb ur, Rahman; M. Naushad, Alam.

227

Active vibration control of a piezoelectric beam using PID controller: Experimental study  

Scientific Electronic Library Online (English)

Full Text Available SciELO Brazil | Language: English Abstract in english 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.

Najeeb ur, Rahman; M. Naushad, Alam.

2012-12-01

228

An analytical method for PID controller tuning with specified gain and phase margins for integral plus time delay processes.  

Science.gov (United States)

In this paper, an analytical method is proposed for proportional-integral/proportional-derivative/proportional-integral-derivative (PI/PD/PID) controller tuning with specified gain and phase margins (GPMs) for integral plus time delay (IPTD) processes. Explicit formulas are also obtained for estimating the GPMs resulting from given PI/PD/PID controllers. The proposed method indicates a general form of the PID parameters and unifies a large number of existing rules as PI/PD/PID controller tuning with various GPM specifications. The GPMs realized by existing PID tuning rules are computed and documented as a reference for control engineers to tune the PID controllers. PMID:21281933

Hu, Wuhua; Xiao, Gaoxi; Li, Xiumin

2011-04-01

229

A Proportional-Integral-Derivative (PID Controller Realization by Using Current Feedback Amplifiers (CFAs and Calculating Optimum Parameter Tolerances  

Directory of Open Access Journals (Sweden)

Full Text Available In this work the synthesis procedure of a proportional-integral-derivative (PID controller implemented with a commercially active component, AD 844, which is equivalent to the combination of a second generation current conveyor having a gain of +1 (CCII+ and a unity gain voltage buffer discussed. These current-mode (CM circuits are not used in analog controller design so far. 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.

Cevat Erdal

2001-01-01

230

FPGA Synthesis of Fuzzy (PD and PID Controller for Insulin Pumps in Diabetes Using Cadence  

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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.

R. HariKumar

2012-01-01

231

Optimized linear motor and digital PID controller setup used in Mössbauer spectrometer  

Science.gov (United States)

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.

Kohout, Pavel; Kou?il, Lukáš; Nava?ík, Jakub; Novák, Petr; Pechoušek, Ji?í

2014-10-01

232

Effect of Time Delay on Robust PID Controllers for a Transfer Function  

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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.

Mukul Gaur,

2013-05-01

233

Security Enhancement of Dynamic System Using PID Controller and Optimization Algorithm  

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Full Text Available 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 system with variable plant transfer function [10]. The procedure has been successfully tested and some results are obtained.

Parul Dewangan

2012-08-01

234

Research on Adaptive Fuzzy PID Synchronous Control Strategy of Double-Motor  

Digital Repository Infrastructure Vision for European Research (DRIVER)

The double-motor synchronous control system is widely used in industrial field. Its performance plays an important role in production. Traditional PID controller parameters are difficult to tune when used in control system, as well as the control effect can not satisfy the requirement of producing process when the controller plant is complex non-linear system. In this paper, adaptive fuzzy PID which can tune the parameters on-line is introduced to apply in the double-motor synchronous control...

Yu, Biao; Zhu, Hui; Xue, Chi

2011-01-01

235

Tuning PID Controller by Neural Network for Robot Manipulator Trajectory Tracking  

Directory of Open Access Journals (Sweden)

Full Text Available 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 capabilities. The proportional, integral and derivative (KP, KI, KD gains are self tuned on-line by the NN output which is obtained due to the error value on the desired output of the system under control. The conventional PID controller in the robot manipulator is replaced by NN self tuning PID controller so as to achieve trajectory tracking with minimum steady-state error and improving the dynamic behavior (overshoot. The simulation results showed that the proposed controller has strong self-adaptability over the conventional PID controller.

Saad Zaghlul Saeed Al-Khayyt

2013-01-01

236

System-wide hybrid MPC-PID control of a continuous pharmaceutical tablet manufacturing process via direct compaction.  

Science.gov (United States)

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

Singh, Ravendra; Ierapetritou, Marianthi; Ramachandran, Rohit

2013-11-01

237

Active sway control of a gantry crane using hybrid input shaping and PID control schemes  

Science.gov (United States)

This project presents investigations into the development of hybrid input-shaping and PID control schemes for active sway control of a gantry crane system. The application of positive input shaping involves a technique that can reduce the sway by creating a common signal that cancels its own vibration and used as a feed-forward control which is for controlling the sway angle of the pendulum, while the proportional integral derivative (PID) controller is used as a feedback control which is for controlling the crane position. The PID controller was tuned using Ziegler-Nichols method to get the best performance of the system. The hybrid input-shaping and PID control schemes guarantee a fast input tracking capability, precise payload positioning and very minimal sway motion. The modeling of gantry crane is used to simulate the system using MATLAB/SIMULINK software. The results of the response with the controllers are presented in time domains and frequency domains. The performances of control schemes are examined in terms of level of input tracking capability, sway angle reduction and time response specification.

Mohd Tumari, M. Z.; Shabudin, L.; Zawawi, M. A.; Shah, L. H. Ahmad

2013-12-01

238

Performance comparison of optimal fractional order hybrid fuzzy PID controllers for handling oscillatory fractional order processes with dead time.  

Science.gov (United States)

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

Das, Saptarshi; Pan, Indranil; Das, Shantanu

2013-07-01

239

PI, PID and Fuzzy logic controller for Reactive Power and Harmonic Compensation  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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...

Karuppanan, P.; Kanta Mahapatra, Kamala

2010-01-01

240

Design of Fuzzy Controllers  

DEFF Research Database (Denmark)

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.

Jantzen, Jan

1998-01-01

 
 
 
 
241

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

242

Multi-Objective PID-Controller Tuning for a Magnetic Levitation System using NSGA-II  

DEFF Research Database (Denmark)

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.

Pedersen, Gerulf K. M.; Yang, Zhenyu

2006-01-01

243

A High Order Sliding Mode Control with PID Sliding Surface: Simulation on a Torpedo  

CERN Document Server

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...

Rhif, Ahmed

2012-01-01

244

Comparative Performance Analysis between Fuzzy Logic Controller (FLC and PID Controller for an Inverted Pendulum System  

Directory of Open Access Journals (Sweden)

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.

Aleem Ahmed Khan

2012-10-01

245

Improvement of Step-Down Converter Performance with Optimum Lqr and Pid Controller with Applied Genetic Algorithm  

Science.gov (United States)

The DC converter can be employed alone for the stabilization or the control of DC voltage of a battery or it can be a component of a complex converter to control the intermediate or output voltages. Due to the switching property included in their structure, DC-DC converters have a non-linear behavior and their controlling design is accompanied with complexities. But by employing the average method it is possible to approximate the system by a linear system and then linear control methods can be used. Dynamic performance of buck converters output voltage can be controlled by methods of Linear Quadratic Regulator (LQR) and PID. The former controller designing needs to positive definite matrix selection and the later is relative to desired pole places in complex coordinate. In this article, matrixes coefficients and the best constant values for PID controllers are selected based on Genetic algorithm method. The simulation results show an improvement in voltage control response.

Nejati, R.; Eshtehardiha, S.; Poudeh, M. Bayati

2008-10-01

246

The Design of Constant Pressure Water Supply PID System Based on PLC  

Directory of Open Access Journals (Sweden)

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.

Yilei Wang

2012-02-01

247

A PID Sliding Mode Control for Ropeless Elevator Maglev Guiding System  

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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.

Hadi Afsharirad

2012-05-01

248

Speed Control System on Marine Diesel Engine Based on a Self-Tuning Fuzzy PID Controller  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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 contro...

Naeim Farouk; Liu Sheng; Leghmizi Said

2012-01-01

249

Control of Molecular Weight Distribution in Batch Emulsion Polymerization using PID Controller: Case Studies  

Digital Repository Infrastructure Vision for European Research (DRIVER)

Two Control strategies are developed to control the molecular weight in emulsion polymerization by manipulating flow-rates of water stream of jacket in first case study and the power of heater in another study. The control strategies were validated with experimental data of emulsion polymerization using Methyl methacrylate as monomer. PID controller is used to control the temperature of the reactor in both the case studies.

Parul Arora, Alok Gupta

2013-01-01

250

Control of Molecular Weight Distribution in Batch Emulsion Polymerization using PID Controller: Case Studies  

Directory of Open Access Journals (Sweden)

Full Text Available Two Control strategies are developed to control the molecular weight in emulsion polymerization by manipulating flow-rates of water stream of jacket in first case study and the power of heater in another study. The control strategies were validated with experimental data of emulsion polymerization using Methyl methacrylate as monomer. PID controller is used to control the temperature of the reactor in both the case studies.

Parul Arora, Alok Gupta

2013-10-01

251

Approach of PID Controller Tuning for Geothermal Systems  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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.

Silaghi, Alexandru Marius; Costea, Claudiu Raul

2010-01-01

252

Simulation Research on Fuzzy PID Mixed Controller Based on AC Servo-motor System  

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Full Text Available AC servo motor is a complex controlled object. In this paper, the fuzzy PID mixed control strategy is adopted to conduct an analytical research by using the MATLAB/SIMULINK simulation software for simulation. Results show that, application of the fuzzy PID mixed control system to the AC servo motor produces good dynamics and steady-state performance as well as robustness, etc.

Zhiqi Xu

2012-04-01

253

PLC Based Adaptive PID Control of Non Linear Liquid Tank System using Online Estimation of Linear Parameters by Difference Equations  

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Full Text Available 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 process. PLC with its ability to have both continues control for PID Control and digital control for fault diagnosis which ascertains faults in the system and provides alerts about the status of the entire process.

Kesavan.E

2013-04-01

254

The Self-Adaptive Fuzzy PID Controller in Actuator Simulated Loading System  

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Full Text Available This paper analyzes the structure principle of the actuator simulated loading system with variable stiffness, and establishes the simplified model. What’s more, it also does a research on the application of the self-adaptive tuning of fuzzy PID(Proportion Integration Differentiation in actuator simulated loading system with variable stiffness. Because the loading system is connected with the steering system by a spring rod, there must be strong coupling. Besides, there are also the parametric variations accompanying with the variations of the stiffness. Based on compensation from the feed-forward control on the disturbance brought by the motion of steering engine, the system performance can be improved by using fuzzy adaptive adjusting PID control to make up the changes of system parameter caused by the changes of the stiffness. By combining the fuzzy control with traditional PID control, fuzzy adaptive PID control is able to choose the parameters more properly.

Chuanhui Zhang

2013-05-01

255

Hardware Implementation of Evolutionary Algorithm Assisted Digital PID Controllers for DC-DC Converters  

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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.

S.Augustilindiya

2013-08-01

256

Multi-Objective Optimization of PID Controller for Temperature Control in Centrifugal Machines Using Genetic Algorithm  

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Full Text Available The main aim of the study focuses on the optimizing the response of the PID controllers used typically for temperature control loop in centrifugal machines in sugar industry using soft-computing. The centrifugal machines are used for the filtering sugar and molasses and the whole process is carried out at a certain fixed temperature. Any alterations from the set-point will cause instability in the system resulting in unsafe process conditions, poor product quality, unnecessary plant shutdowns, higher maintenance and operating costs, etc. This study employs the optimization of PID controllers using multi-objective genetic algorithm for better plant operations. For the initial tuning of the PID controllers, classical methods like Ziegler-Nichols, Chien-Hrones-Reswick (CHR and robust time response have been used, but all have shown the transient response; so MATLAB’s PID Tuner has been used for the initial estimation of the parameters followed by optimization using genetic algorithm and multi-objective genetic algorithm. On comparing the results, better results have been obtained in case of multi-objective genetic algorithm optimization offering better plant operation and process safety which classical methods have failed to provide.

Sanjay Kr. Singh

2014-03-01

257

Genetic algorithm-based fuzzy-PID control methodologies for enhancement of energy efficiency of a dynamic energy system  

International Nuclear Information System (INIS)

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.

258

Multi-Drive Paper System Control Based on Multi-Input Multi-Output PID Controller  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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 featu...

Allaoua, Boumedie?ne; Laoufi, Abdellah; Gasbaoui, Brahim

2010-01-01

259

FUZZY LIKE PID CONTROLLER TUNING BY MULTI-OBJECTIVE GENETIC ALGORITHM FOR LOAD FREQUENCY CONTROL IN NONLINEAR ELECTRIC POWER SYSTEMS  

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Full Text Available This paper studies control of load frequency in single and two area power systems with fuzzy like PID controller. In this study, multi-objective genetic algorithm is used to determine the parameters of the fuzzy like PID controller according to the system dynamics. The proposed controller has been compared with the conventional PID controllers tuned by Ziegler-Nicholasmethod and Particle Swarm Optimization technique. The overshoots and settling times with the proposed Genetic-PID controller are superior to the outputs of the same characteristics of the conventional PID controllers. The effectiveness of the proposed schemes is confirmed via extensive study using single area and two areas load frequency control examples through the application of MATLAB-Simulink software.

A. E. A. Seif

2012-11-01

260

PID feedback controller used as a tactical asset allocation technique: The G.A.M. model  

Science.gov (United States)

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.

Gandolfi, G.; Sabatini, A.; Rossolini, M.

2007-09-01

 
 
 
 
261

Evaluating knee replacement mechanics during ADL with PID-controlled dynamic finite element analysis.  

Science.gov (United States)

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

Fitzpatrick, Clare K; Baldwin, Mark A; Clary, Chadd W; Maletsky, Lorin P; Rullkoetter, Paul J

2014-03-01

262

A PID based MIMO control system of the CMS Tracker thermal screen  

CERN Document Server

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...

Carrone, Enzo

2004-01-01

263

Comparison between PI and PID controllers used in UPFC control for power flow  

Energy Technology Data Exchange (ETDEWEB)

This paper compares features of PI and PID Controllers, the two most frequently used unified power flow controllers (UPFC) in transmission lines. These are Flexible AC Transmission Systems devices (FACTS) which are used in general to control the power flow and damp oscillations of power systems. These features enhance the capacity of existing transmission systems to carry energy, obviating the need to build new transmission lines while at the same time respecting safety, environmental, and economic constraints. The growing demand for energy has put pressure on the industry to develop appropriate methods for augmenting the efficacity and reliability of systems while operating within their various limitations. In conclusion, it was demonstrated that the PI controller response is better for power system stability but that in reactive power control the PI and PID controllers have similar performance. The efficiency of the UPFCs was also demonstrated using MATLAB/SIMULINK software.

Aghdam, Hossein Nasir [Department of Electrical Engineering, Ahar Branch, Islamic Azad University, Ahar (Iran, Islamic Republic of); email: h_nasir@iau-ahar.ac.ir; Kaheh, Meghdad [Department of Electrical Engineering, Majlesi Branch, Islamic Azad University, Majlesi (Iran, Islamic Republic of); email: kaheh.meghdad@gmail.com; Najafi, Babak [Department of Electrical Engineering, Germi Branch, Islamic Azad University, Germi (Iran, Islamic Republic of); email: ba.najafi@gmail.com4; Farhadi, Payam; Karimi, Mohammad [Department of Electrical Engineering, Parsabad Moghan Branch, Islamic Azad University, Young Researchers Club, Parsabad Moghan (Iran, Islamic Republic of); email: pfarhadi@iaupmogan.ac.ir; Karimi, Mohammad, email: mohammadkarimi62@gmail.com

2011-07-01

264

An Investigation of ANN based PID Controllers using Three- Area Load Frequency Control in Interconnected Power System  

Directory of Open Access Journals (Sweden)

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.

V.Shanmuga Sundaram ,

2011-05-01

265

Power Regulation of a Wind Turbine Using Adaptive Fuzzy- PID Pitch Angle Controller  

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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.

Sachin Goyal,

2013-05-01

266

Comparison of Two Different Strategies to Control Particle Size Distribution in Batch Emulsion Polymerization Using PID Controller  

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Full Text Available This paper describes the PID control of a batch polymerization reactor concluding after comparison of two different mode of control. The main objective of any control system is to attain target value within minimum time. To achieve this goal we compared split range control with controller using heat load as manipulative variable. Both provide good control but after study of performance index we found PID controller with heat load as manipulative variable performs better than split range controller.

Parul Arora*, Alok Gupta

2013-11-01

267

The Smith-PID Control of Three-Tank-System Based on Fuzzy Theory  

Directory of Open Access Journals (Sweden)

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.

Jianqiu Deng

2011-03-01

268

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

269

Comparison of Two Different Strategies to Control Particle Size Distribution in Batch Emulsion Polymerization Using PID Controller  

Digital Repository Infrastructure Vision for European Research (DRIVER)

This paper describes the PID control of a batch polymerization reactor concluding after comparison of two different mode of control. The main objective of any control system is to attain target value within minimum time. To achieve this goal we compared split range control with controller using heat load as manipulative variable. Both provide good control but after study of performance index we found PID controller with heat load as manipulative variable perfor...

Parul Arora, Alok Gupta

2013-01-01

270

Effect of Bottom Slope on Determining Optimum Coefficients and Performance of PID Controller in Irrigation Canals  

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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

Sh. Zamani

2014-02-01

271

Nonlinear Dynamics Study Of Voltage Mode Controlled DC Drive With PID Controller  

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Full Text Available This paper presents a non-linear dynamic model of a voltage controlled PMDC motor drive, based on the state vector analysis of the system is conducted. Proportional-Integral-derivative (PID is the techniques proposed in this investigation to control the speed of a dc motor, revealing the periodic and chaotic phenomenon under different system parameter. Mathematical analysis and computer simulation are attached to verify the proposed non-linear model of the PMDC motor.

Sukumar Das

2014-02-01

272

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

273

Pid Plus Fuzzy Logic Controller Based Electronic Load Controller For Self Exited Induction Generator.  

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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.

S.Swathi,

2014-01-01

274

A New Adaptive PID and CMAC Controller Based on Multi-parameter Optimization  

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Full Text Available PID and CMAC compound controller was developed about thirty years ago but yet it lacks effective multi-parameter self-tuning method, including parameters of CMAC learning rate and inertia weight. Without proper control parameters, the control system based on PID and CMAC controller will converge very slowly, even becoming unstable after the simulation for a period of time. A new kind of multi-parameter self-adaptive optimization scheme based on adaptive genetic algorithm (AGA was proposed for PID and CMAC controller. The central idea of self-adaptive multi-parameter optimization based on AGA is that PID parameters Kp, Ki, Kd and CMAC parameters ?, ? are regarded as a group of gene in GA. The PID and CMAC parameters are adjusted adaptively by AGA according to a certain objective function. Finally, the simulations show that the proposed control method can improve the performance effectively. It is a simple convenient and effective control scheme for the nonlinear and uncertain control system.

Ruo-Fa Cheng

2013-01-01

275

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

276

The PID Controller Based on the Artificial Neural Network and the Differential Evolution Algorithm  

Directory of Open Access Journals (Sweden)

Full Text Available The conventional PID (proportional-integral-derivative controller is widely applied to industrial automation and process control field because its structure is sample and its robust is well, but it do not work well for nonlinear system, time-delayed linear system and time-varying system. This paper provides a new style of PID controller that is based on artificial neural network and evolutionary algorithm according to the conventional one’s mathematical formula. The artificial neural network (ANN is used to approach PID formula and the differential evolution algorithm (DEA is used to search weight of the artificial neural network. This new controller is proven better control effect in the simulation test. This new controller has more advantages than the conventional one, such as less calculated load, faster global convergence speed, better robust, more independence and adaptability on the plant and independent of human intervention and expert experiences etc.

Wei Lu

2012-10-01

277

Application of low pass filtering PID control algorithm for plasma density control system in HT-7 tokamak  

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)

278

Single Neuron PID Control of Aircraft Deicing Fluids Rapid Heating System  

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Full Text Available Aircraft deicing fluids rapid heating system is widely used in aircraft ground deicing to ensure that the operation of flights can be safe and efficient. Aiming at the temperature turbulence problem of aircraft deicing system, this paper presents the single neuron PID control strategy which combine the advantage of conventional PID control with artificial neuron control. The aircraft deicing fluids rapid heating system and the scheme and working principle of the system is introduced. Simulation is executed on the basis of the mathematical model of aircraft deicing fluids rapid heating system, which is built in this paper, according to a number of data collected by experiments which are operated on the experimental platform of deicing fluids rapid heating system. The simulation results show that the single neuron PID control strategy perform effectively on the temperature turbulence problem of aircraft deicing fluids rapid heating system. Experiments are conducted to vertify the single neuron PID control strategy, the results of which show that the single neuron PID control strategy can achieve the request in practical application of the aircraft deicing fluids rapid heating system.

Bin Chen

2013-02-01

279

Application of combined controller based on CMAC and nonlinear PID in dual redundant telescope tracking system  

Science.gov (United States)

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.

Li, Heng; Ren, Changzhi; Song, Libin; Wu, Jun

2014-07-01

280

Development of a GPC-based PID controller for unstable systems with deadtime  

Science.gov (United States)

Till now, traditional low-order control schemes have never been applicable to unstable systems with deadtime. In this paper, we present the first application of a PID controller with time-scheduled gains to unstable systems with deadtime, consisting of a single unstable pole. The control gains are designed based on a generalised predictive control (GPC) approach. The only user specifications required are simple and classical desired properties as in the natural frequency and the damping ratio of the closed-loop system. An approach is further developed to subsequent on-line self-tuning of control weights so that the overall control system remains applicable and effective in the face of disturbances and slowly varying dynamics. A detailed analysis of the closed-loop stability of the thus designed control system is further provided in the paper. Based on stability conditions developed, the prediction horizon for the GPC-based controller may be effectively computed. Finally, simulation examples illustrate the performance of the control system. PMID:10826286

Tan; Huang; Lee

2000-01-01

 
 
 
 
281

A new control scheme for PID load frequency controller of single-area and multi-area power systems.  

Science.gov (United States)

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

Padhan, Dola Gobinda; Majhi, Somanath

2013-03-01

282

Multi-variable PID neural network decoupling algorithm in scrap copper smelting process control  

Science.gov (United States)

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.

Li, Yingdao; Guan, Hongwei; Zhong, Weihong; Song, Zhihuan; Ma, Xiushui

2010-12-01

283

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

284

Numerical simulation and analysis of fuzzy PID and PSD control methodologies as dynamic energy efficiency measures  

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, respectively. It is also shown that the F-PSD performance is better than that of the F-PID controller

285

PID controller auto-tuning based on process step response and damping optimum criterion.  

Science.gov (United States)

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

Pavkovi?, Danijel; Polak, Siniša; Zorc, Davor

2014-01-01

286

PID-Controller Tuning Optimization with Genetic Algorithms in Servo Systems  

Directory of Open Access Journals (Sweden)

Full Text Available Performance improvement is the main goal of the study of PID control and much research has been conducted for this purpose. The PID filter is implemented in almost all industrial processes because of its well? known beneficial features. In general, the whole system’s performance strongly depends on the controller’s efficiency and hence the tuning process plays a key role in the system’s behaviour. In this work, the servo systems will be analysed, specifically the positioning control systems. Among the existent tuning methods, the Gain? Phase Margin method based on Frequency Response analysis is the most adequate for controller tuning in positioning control systems. Nevertheless, this method can be improved by integrating an optimization technique. The novelty of this work is the development of a new methodology for PID control tuning by coupling the Gain?Phase Margin method with the Genetic Algorithms in which the micro?population concept and adaptive mutation probability are applied. Simulations using a positioning system model in MATLAB and experimental tests in two CNC machines and an industrial robot are carried out in order to show the effectiveness of the proposal. The obtained results are compared with both the classical Gain?Phase Margin tuning and with a recent PID controller optimization using Genetic Algorithms based on real codification. The three methodologies are implemented using software.

Arturo Y. Jaen-Cuellar

2013-09-01

287

Comparison of Energy Consumption in the Classical (PID) and Fuzzy Control of Foundry Resistance Furnace  

Digital Repository Infrastructure Vision for European Research (DRIVER)

Foundry resistance furnaces are thermal devices with a relatively large time delay in their response to a change in power parameters.Commonly used in automation classical PID controllers do not meet the requirements of high-quality control. Developed in recent years,fuzzy control theory is increasingly being used in various branches of economy and industry. Fuzzy controllers allow to introduce newdevelopments in control systems of foundry furnaces as well. Correctly selected fuzzy controller ...

Zio??kowski, E.; S?mierciak, P.

2012-01-01

288

Study on the Integral Separation PID Control in Piezoelectric Crystal Positioning Process  

Directory of Open Access Journals (Sweden)

Full Text Available The Preisach control model is one of the effective methods for piezoelectric crystal control. However, unstable data sampling brought considerable influence and errors to the control process. For the purpose of improving the precision and stability of positioning control in implementation procedure, this paper applied the integral separation PID control technology to piezoelectric crystal positioning process. Desirable results of precision control have been acquired.

Yucheng Liu

2013-01-01

289

Study of PID Controller Based Pitch Actuator System for Variable Speed HAWT using MATLAB  

Directory of Open Access Journals (Sweden)

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.

VISHAL T. MAKVANA, RINAL K. AHIR, DHAVAL K. PATEL, JITENDRA A. JADHAV

2013-05-01

290

Comparison of Energy Consumption in the Classical (PID and Fuzzy Control of Foundry Resistance Furnace  

Directory of Open Access Journals (Sweden)

Full Text Available Foundry resistance furnaces are thermal devices with a relatively large time delay in their response to a change in power parameters.Commonly used in automation classical PID controllers do not meet the requirements of high-quality control. Developed in recent years,fuzzy control theory is increasingly being used in various branches of economy and industry. Fuzzy controllers allow to introduce newdevelopments in control systems of foundry furnaces as well. Correctly selected fuzzy controller can significantly reduce energyconsumption in a controlled thermal process of heating equipment. The article presents a comparison of energy consumption by controlsystem of foundry resistance furnace, equipped with either a PID controller or fuzzy controller optimally chosen.

E. Zió?kowski

2012-09-01

291

A Conformal Mapping Based Fractional Order Approach for Sub-optimal Tuning of PID Controllers with Guaranteed Dominant Pole Placement  

CERN Document Server

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...

Saha, Suman; Das, Shantanu; Gupta, Amitava

2012-01-01

292

Control of baker’s yeast fermentation : PID and fuzzy algorithms  

Digital Repository Infrastructure Vision for European Research (DRIVER)

A MATLAB/SIMULINK-based simulator was employed for studies concerning the control of baker’s yeast fed-batch fermentation. Four control algorithms were implemented and compared: the classical PID control, two discrete versions- modified velocity and position algorithms, and a fuzzy law. The simulation package was seen to be an efficient tool for the simulation and tests of control strategies of the non-linear process.

Machado, Carlos; Gomes, Pedro; Soares, Rui; Pereira, Silvia; Oliveira, Filomena

2001-01-01

293

Optimization of PID Controller for Brushless DC Motor by using Bio-inspired Algorithms  

Directory of Open Access Journals (Sweden)

Full Text Available This study presents the use and comparison of various bio-inspired algorithms for optimizing the response of a PID controller for a Brushless DC Motor in contrast to the conventional methods of tuning. For the optimization of the PID controllers Genetic Algorithm, Multi-objective Genetic Algorithm and Simulated Annealing have been used. PID controller tuning with soft-computing algorithms comprises of obtaining the best possible outcome for the three PID parameters for improving the steady state characteristics and performance indices like overshoot percentage, rise time and settling time. For the calculation and simulation of the results the Brushless DC Motor model, Maxon EC 45 flat ? 45 mm with Hall Sensors Motor has been used. The results obtained the optimization using Genetic Algorithms, Multi-objective Genetic Algorithm and Simulated Annealing is compared with the ones derived from the Ziegler-Nichols method and the MATLAB SISO Tool. And it is observed that comparatively better results are obtained by optimization using Simulated Annealing offering better steady state response.

Sanjay Kr. Singh

2014-02-01

294

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

295

Model based control design for refrigeration systems  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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.

Kawai, Fukiko; Rasmussen, Henrik; Stoustrup, Jakob

2013-01-01

296

????????????????????????? : (Model based control design for refrigeration systems)  

DEFF Research Database (Denmark)

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.

Kawai, Fukiko; Rasmussen, Henrik

2013-01-01

297

Simulation of Networked Control System based on Smith Compensator and Single Neuron Incomplete Differential Forward PID  

Directory of Open Access Journals (Sweden)

Full Text Available In the networked control system with random time delay in forward and feedback channels, a kind of controller based on Smith compensator and signal neuron incomplete differential forward PID is presented. First, using root locus method and simulink simulation software, the influences of network’s time delay on the system stability and dynamic performance are analyzed. Then, combined with incomplete differential forward PID control algorithm, Smith compensation model is established. Compared with existing Smith compensator, the proposed control model is easy to be implemented, and can also get better control performance in the case of miss-matching compensator model. Finally, the simulation research on a DC motor is done, and the simulation results show the effectiveness of the proposed method.

Haitao Zhang

2011-12-01

298

Novel Resistorless Mixed-Mode PID Controller with Improved Low-Frequency Performance  

Directory of Open Access Journals (Sweden)

Full Text Available This paper introduces a new resistorless mixed-mode proportional-integral-derivative (PID controller. It employs six simple transconductors and only two grounded capacitors. The proposed PID controller offers several advantageous features of resistorless configuration, use of grounded capacitors, independent electronic-tuning characteristic of its parameters, and mixed-mode operation such as current, transimpedance, transadmittance, and voltage modes. The parasitic element effects of the transconductors on the proposed controller are investigated and the improved low-frequency performance of the proposed controller is then discussed. As applications, the proposed controller is demonstrated on two closed-loop systems. The PSPICE simulations with TSMC 0.18µm CMOS process and ±0.9V supply voltage verify the theoretical analysis.

V. Silaruam

2013-09-01

299

ANN Based PID Controlled Brushless DC drive System  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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...

Ganesh, C.; Prabhu, M.; Rajalakshmi, M.; Sumathi, G.; Bhola, Virender; Patnaik, S. K.

2012-01-01

300

Method’s and Test Stand for Electronic PID Controller  

Directory of Open Access Journals (Sweden)

Full Text Available The paper presents method’s and a testing stand for electronic controller using for this a signal generator and a digital oscilloscope respectively the virtual instrumentation and the signal acquisitions from the controllers input and output through an data acquisition board and an PC on that Lab View program runs.

Cristian Paul Chioncel

2009-01-01

 
 
 
 
301

Method’s and Test Stand for Electronic PID Controller  

Digital Repository Infrastructure Vision for European Research (DRIVER)

The paper presents method’s and a testing stand for electronic controller using for this a signal generator and a digital oscilloscope respectively the virtual instrumentation and the signal acquisitions from the controllers input and output through an data acquisition board and an PC on that Lab View program runs.

Cristian Paul Chioncel; Petru Chioncel; Nicoleta Gillich; Ovidiu Tirian

2009-01-01

302

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

303

Topology Control Research of Monitor Network Based on PID of Self-adaptive Hierarchical Genetic Algorithm  

Directory of Open Access Journals (Sweden)

Full Text Available Due to the environment of coal mine underground is poor, need to establish a stable and reliable network topology quickly during building the monitoring network and the topology must has reconfigurability, connectivity and reliability. For the above request, the topology control algorithm for wireless sensor network based on the PID of self-adapt hierarchical genetic (SAHGA-PID in the coal mine underground was proposed. Based on the adaptive genetic algorithm, introduced hierarchical search strategy, divided the solution space into two-layers and improved the optimization efficiency. This algorithm combined biological intelligence algorithm to closed-loop control theory, overcame the shortcoming of slow convergence and instability of the existing topology control algorithm and improved the energy efficiency and convergence rate. The simulations and results show that, this algorithm can achieve the goal of optimizing the topology control quickly and effectively.

Xiao-Guang Zhang

2013-01-01

304

Research and Simulation Analysis of Car Following System Based Fuzzy PID Control  

Directory of Open Access Journals (Sweden)

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.

Xiaoju Lu

2013-01-01

305

HYBRID SYSTEM BASED FUZZY-PID CONTROL SCHEMES FOR UNPREDICTABLE PROCESS  

Directory of Open Access Journals (Sweden)

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.

M.K. Tan

2011-07-01

306

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

307

Tuning of PID Controller for Time Delayed Process Using Particle Swarm Optimization  

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Full Text Available 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 techniques of PID controller tuning came in existence in recent years which gives better results compare to classical tuning rule that is Ziegler Nichols Tuning method. This paper presents a new scheme for tuning of PID controller with time delay process. Particle swarm optimization is the topic of recent research and many researchers are working on it. It is a population based technique which is inspired by the social behavior of biological organism. It is an efficient and fast tuning scheme compare to other conventional techniques. This paper presents simulation results of time delayed process using PSO and a comparison with Ziegler Nichols tuning method. Index Terms— Particle Swarm Optimization, social behavior, swarm intelligence, Time delayed process.

Neha Kundariya, Jyoti Ohri

2013-07-01

308

Research on PID control system based on genetic algorithm  

Science.gov (United States)

Genetic algorithms, there are many difficult issues, such as premature convergence, choice of control parameters. This combination of all improvements, the optimal preservation strategy, adaptive set the crossover probability and mutation probability, the idea of fitness scaling into the simple genetic algorithm, the algorithm is improved and used Matlab program to achieve the improved algorithm, prove the correctness and practicability of this method.

Zhang, Dingqun; Yang, Xinfeng

2011-12-01

309

Controlling Chaos and Voltage Collapse using Layered Recurrent Network-based PID-SVC in Power Systems  

Directory of Open Access Journals (Sweden)

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.

I Made Ginarsa

2013-09-01

310

Simultaneous gains tuning in boiler/turbine PID-based controller clusters using iterative feedback tuning methodology.  

Science.gov (United States)

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

Zhang, Shu; Taft, Cyrus W; Bentsman, Joseph; Hussey, Aaron; Petrus, Bryan

2012-09-01

311

Adjustment of PID Coefficients in Order to Control of Load Power of Micro-Turbine in Island Mode Using PSO  

Directory of Open Access Journals (Sweden)

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.

Noradin Ghadimi

2012-03-01

312

Tuning of PID controller for an automatic regulator voltage system using chaotic optimization approach  

Energy Technology Data Exchange (ETDEWEB)

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.

Santos Coelho, Leandro dos [Pontifical Catholic University of Parana, PUCPR Industrial and Systems Engineering Graduate Program, LAS/PPGEPS Imaculada Conceicao, 1155, Zip code 80215-901, Curitiba, Parana (Brazil)], E-mail: leandro.coelho@pucpr.br

2009-02-28

313

Power-Stabilization of High Frequency Gyrotrons Using a Double PID Feedback Control for Applications to High Power THz Spectroscopy  

Science.gov (United States)

High stabilization of the output power of high frequency gyrotrons for high power THz spectroscopy is an important issue in order to extend the applications of gyrotrons to wider subjects. For this objective, we tried a PID feedback control on a heater current of a triode magnetron injection gun (MIG) for stabilization of an electron beam current and an additional PID control of an anode voltage of the gun for direct stabilization of output power. This double PID control achieved effective responses for the stabilization of output power in both slow (from several tens seconds to several minutes) and fast (from milliseconds to seconds) time scales.

Idehara, Toshitaka; Kuleshov, Alexei; Ueda, Keisuke; Khutoryan, Eduard

2013-11-01

314

Temperature control of a steam generator by means of an hybrid system PID-RLC; Control de las temperaturas de un generador de vapor mediante un sistema hibrido PID-RLC  

Energy Technology Data Exchange (ETDEWEB)

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.

Palomares Gonzalez, Daniel; Garcia Mendoza, Raul [Instituto de Investigaciones Electricas, Cuernavaca (Mexico)

1990-12-31

315

Control of a production-inventory system using a pid and demand prediction based controller  

Scientific Electronic Library Online (English)

Full Text Available SciELO Argentina | Language: English Abstract in english 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.

S., Tosetti; D., Patiño; F., Capraro; A., Gambier.

316

Control of a production-inventory system using a pid and demand prediction based controller  

Scientific Electronic Library Online (English)

Full Text Available SciELO Argentina | Language: English Abstract in english 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.

S., Tosetti; D., Patiño; F., Capraro; A., Gambier.

2009-10-01

317

Implementation of an advanced hybrid MPC-PID control system using PAT tools into a direct compaction continuous pharmaceutical tablet manufacturing pilot plant.  

Science.gov (United States)

It is desirable for a pharmaceutical final dosage form to be manufactured through a quality by design (QbD)-based approach rather than a quality by testing (QbT) approach. An automatic feedback control system coupled with PAT tools that is part of the QbD paradigm shift, has the potential to ensure that the pre-defined end product quality attributes are met in a time and cost efficient manner. In this work, an advanced hybrid MPC-PID control architecture coupled with real time inline/online monitoring tools and principal components analysis (PCA) based additional supervisory control layer has been proposed for a continuous direct compaction tablet manufacturing process. The advantages of both MPC and PID have been utilized in a hybrid scheme. The control hardware and software integration and implementation of the control system has been demonstrated using feeders and blending unit operation of a continuous tablet manufacturing pilot plant and an NIR based PAT tool. The advanced hybrid MPC-PID control scheme leads to enhanced control loop performance of the critical quality attributes in comparison to a regulatory (e.g. PID) control scheme indicating its potential to improve pharmaceutical product quality. PMID:24974987

Singh, Ravendra; Sahay, Abhishek; Karry, Krizia M; Muzzio, Fernando; Ierapetritou, Marianthi; Ramachandran, Rohit

2014-10-01

318

AC/DC Converter AC Side Harmonic Wave Detection Based on Self-adaption Fuzzy PID Controlling  

Directory of Open Access Journals (Sweden)

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.

Li Jia-Sheng

2014-01-01

319

Application of genetic algorithm to control design  

International Nuclear Information System (INIS)

A classical PID controller is designed by applying the GA (Genetic Algorithm) which searches the optimal parameters through three major operators of reproduction, crossover and mutation under the given constraints. The GA could minimize the designer's interference and the whole design process could easily be automated. In contrast with other traditional PID design methods which allows for the system output responses only, the design with the GA can take account of the magnitude or the rate of change of control input together with the output responses, which reflects the more realistic situations. Compared with other PIDs designed by the traditional methods such as Ziegler and analytic, the PID by the GA shows the superior response characteristics to those of others with the least control input energy

320

UAV Controller Based on Adaptive Neuro-Fuzzy Inference System and PID  

Directory of Open Access Journals (Sweden)

Full Text Available 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 controllers have similar results. ANFIS controller is capable to adaptation in nonlinear conditions, while PID has to be tuned to preserves proper control in some conditions. The simulation results generated by Matlab using Aerosim Aeronautical Simulation Block Set, which provides a complete set of tools for development of six degree-of-freedom. Nonlinear Aerosonde unmanned aerial vehicle model with ANFIS controller is simulated to verify the capability of the system. Moreover, the results are validated by FlightGear flight simulator.

Ali Moltajaei Farid

2013-01-01

 
 
 
 
321

Dynamic Analysis Method for Electromagnetic Artificial Muscle Actuator under PID Control  

Science.gov (United States)

We have been studying an interior permanent magnet linear actuator for an artificial muscle. This actuator mainly consists of a mover and stator. The mover is composed of permanent magnets, magnetic cores and a non-magnetic shaft. The stator is composed of 3-phase coils and a back yoke. In this paper, the dynamic analysis method under PID control is proposed employing the 3-D finite element method (3-D FEM) to compute the dynamic response and current response when the positioning control is active. As a conclusion, computed results show good agreement with measured ones of a prototype.

Nakata, Yoshihiro; Ishiguro, Hiroshi; Hirata, Katsuhiro

322

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)

323

Velocity relaxed and craziness-based swarm optimized intelligent PID and PSS controlled AVR system  

Energy Technology Data Exchange (ETDEWEB)

This paper explores a comparative performance study of two new classes of particle swarm optimization techniques, one with velocity update relaxation (VURPSO) and the other based on novel position, velocity updating strategy and craziness (CRPSO). Both VURPSO and CRPSO highly enhance searching ability. Genetic algorithm (GA) is considered for the sake of comparison. Finally, it is revealed that while applying in two power systems applications (PID controlled AVR system, PSS controlled AVR system), VURPSO exhibits better transient performance than CRPSO/GA. For on-line, off-nominal conditions, Takagi Sugeno fuzzy logic is applied to obtain on-line responses for both the system models. (author)

Chatterjee, A.; Mukherjee, V. [Department of Electrical Engineering, Asansol Engineering College, Asansol, Vivekananda Sarani, Kanyapur, West Bengal 713305 (India); Ghoshal, S.P. [Department of Electrical Engineering, National Institute of Technology, Durgapur, West Bengal 713209 (India)

2009-09-15

324

Speed Control of an Autonomous Mobile Robot: Comparison between a PID Control and a Control Using Fuzzy Logic  

Directory of Open Access Journals (Sweden)

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.

P. E. Silveira

2002-05-01

325

Speed Control of an Autonomous Mobile Robot: Comparison between a PID Control and a Control Using Fuzzy Logic  

Scientific Electronic Library Online (English)

Full Text Available SciELO Brazil | Language: English Abstract in english 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.

P. E., Silveira; R. de, Souza Jr.; V. M., Biazotto.

326

Genetics algorithms as a tuning tool for PID and sliding mode controllers  

Scientific Electronic Library Online (English)

Full Text Available SciELO Venezuela | Language: Spanish Abstract in spanish 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.

Juan C, Terán-Picón; José, Anderez; Oscar, Camacho.

327

Photovoltaic System Regulation Based on a PID Fuzzy Controller to Ensure a Fixed Settling Time  

Directory of Open Access Journals (Sweden)

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®.

Paula A. Ortiz-Valencia

2013-11-01

328

Response to a Setpoint Change in PID Controlled Time-Delay Feedback Systems  

CERN Document Server

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.

Martelli, G

2007-01-01

329

Non-parametric Tuning of PID Controllers A Modified Relay-Feedback-Test Approach  

CERN Document Server

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...

Boiko, Igor

2013-01-01

330

A novel multi-drive electric vehicle system control based on multi-input multi-output PID controller  

Directory of Open Access Journals (Sweden)

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.

Gasbaoui Brahim

2012-01-01

331

Classical controller design techniques for fractional order case.  

Science.gov (United States)

This paper presents some classical controller design techniques for the fractional order case. New robust lag, lag-lead, PI controller design methods for control systems with a fractional order interval transfer function (FOITF) are proposed using classical design methods with the Bode envelopes of the FOITF. These controllers satisfy the robust performance specifications of the fractional order interval plant. In order to design a classical PID controller, an optimization technique based on fractional order reference model is used. PID controller parameters are obtained using the least squares optimization method. Different PID controller parameters that satisfy stability have been obtained for the same plant. PMID:21497807

Yeroglu, Celaleddin; Tan, Nusret

2011-07-01

332

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.

333

Stabilization loop of a two axes gimbal system using self-tuning PID type fuzzy controller.  

Science.gov (United States)

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

Abdo, Maher Mahmoud; Vali, Ahmad Reza; Toloei, Ali Reza; Arvan, Mohammad Reza

2014-03-01

334

A PID Positioning Controller with a Curve Fitting Model Based on RFID Technology  

Scientific Electronic Library Online (English)

Full Text Available SciELO Mexico | Language: English Abstract in english 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.

Young-Long, Chen; Zhi-Rong, Chen.

2013-04-01

335

Practical Realization Digital PID Controller f or Speed Control o f DC Motor Using Back - EMF Feedback Method  

Directory of Open Access Journals (Sweden)

Full Text Available his paper describes the speed control of dc motor using back emf method. Among the various techniques for controlling the speed control of dc motor, this method offers relatively simple and cost effective solution. In this method no feedback sensor or extra feedback signal processing circuitry is required. The speed control of dc motor has been achieved using pid controller which is implemented on PIC micro controller and one method is also proposed to achieve better speed control of dc motor.

Prof Vishal Vaidya

2013-11-01

336

Fuzzy PID Controllers Using Matlab GUI Based for Real Time DC Motor Speed Control  

Directory of Open Access Journals (Sweden)

Full Text Available In this paper, an integrated electronic system has been designed, constructed and tested. Controlling DC (Direct current Motor drive is design and development of real time MATLAB –GUI based using fuzzy logic controller. First, a controller is designed according to fuzzy rules such that the systems are fundamentally robust. To obtain the globally optimal values, parameters of the fuzzy controller are improved by MATLAB-GUI based FLC and IFLC algorithms optimization model. Computer MATLAB work space demonstrate that the fuzzy controller associated to integrated algorithms approach became very strong, gives a very good results and possess good robustness.

Suhas Yadav*1

2014-04-01

337

Comparative performance of decoupled input-output linearizing controller and linear interpolation PID controller: enhancing biomass and ethanol production in Saccharomyces cerevisiae.  

Science.gov (United States)

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

Persad, A; Chopda, V R; Rathore, A S; Gomes, J

2013-02-01

338

Improved model reduction and tuning of fractional-order PI(?)D(?) controllers for analytical rule extraction with genetic programming.  

Science.gov (United States)

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

Das, Saptarshi; Pan, Indranil; Das, Shantanu; Gupta, Amitava

2012-03-01

339

Non-Contact Linear Actuator Position Sensor Having a PID-Compensating Controller  

Science.gov (United States)

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.

Alhorn, Dean C. (Inventor); Howard, David E. (Inventor)

2001-01-01

340

Stability of PID-Controlled Linear Time-Delay Feedback Systems  

CERN Document Server

The stability of feedback systems consisting of linear time-delay plants and PID controllers has been investigated for many years by means of several methods, of which the Nyquist criterion, a generalization of the Hermite-Biehler Theorem, and the root location method are well known. The main purpose of these researches is to determine the range of controller parameters that allow stability. Explicit and complete expressions of the boundaries of these regions and computation procedures with a finite number of steps are now available only for first-order plants, provided with one time delay. In this note, the same results, based on Pontryagin's studies, are presented for arbitrary-order plants.

Martelli, Gianpasquale

2008-01-01

 
 
 
 
341

Thermal response simulation for tuning PID controllers in a 1016 mm guarded hot plate apparatus.  

Science.gov (United States)

A mathematical model has been developed and used to simulate the controlled thermal performance of a large guarded hot-plate apparatus. This highly specialized apparatus comprises three interdependent components whose temperatures are closely controlled in order to measure the thermal conductivity of insulation materials. The simulation model was used to investigate control strategies and derive controller gain parameters that are directly transferable to the actual instrument. The simulations take orders-of-magnitude less time to carry out when compared to traditional tuning methods based on operating the actual apparatus. The control system consists primarily of a PC-based PID control algorithm that regulates the output voltage of programmable power amplifiers. Feedback parameters in the form of controller gains are required for the three heating circuits. An objective is to determine an improved set of gains that meet temperature control criteria for testing insulation materials of interest. The analytical model is based on aggregated thermal capacity representations of the primary components and includes the same control algorithm as used in the actual hot-plate apparatus. The model, accounting for both thermal characteristics and temperature control, was validated by comparisons with test data. The tuning methodology used with the simulation model is described and results are presented. The resulting control algorithm and gain parameters have been used in the actual apparatus without modification during several years of testing materials over wide ranges of thermal conductivity, thickness, and insulation resistance values. PMID:21377157

Thomas, William C; Zarr, Robert R

2011-07-01

342

Implementación de un Laboratorio Virtual para la enseñanza de Controladores PID / Implementation of a Virtual Laboratory for teaching PID Controller  

Scientific Electronic Library Online (English)

Full Text Available SciELO Chile | Language: Spanish Abstract in spanish 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.

David A, Márquez; Oscar O, Cárdenas.

343

Determination of all feasible robust PID controllers for open-loop unstable plus time delay processes with gain margin and phase margin specifications.  

Science.gov (United States)

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

Wang, Yuan-Jay

2014-03-01

344

Root Locus Based Autopilot PID’s Parameters Tuning for a Flying Wing Unmanned Aerial Vehicle  

Directory of Open Access Journals (Sweden)

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.

Fendy Santoso

2008-05-01

345

Design Baseline Computed Torque Controller  

Directory of Open Access Journals (Sweden)

Full Text Available The application of design nonlinear controller such as computed torque controller in control of 6degrees of freedom (DOF robot arm will be investigated in this research. One of the significantchallenges in control algorithms is a linear behavior controller design for nonlinear systems (e.g.,robot manipulator. Some of robot manipulators which work in industrial processes are controlledby linear PID controllers, but the design of linear controller for robot manipulators is extremelydifficult because they are hardly nonlinear and uncertain. To reduce the above challenges, thenonlinear robust controller is used to control of robot manipulator. Computed torque controller is apowerful nonlinear controller under condition of partly uncertain dynamic parameters of system.This controller is used to control of highly nonlinear systems especially for robot manipulators. Toadjust this controller’s coefficient baseline methodology is used and applied to CTC.

Farzin Piltan

2012-06-01

346

A Discrete PID Control System Using Predictors and an Observer for the Influence of a Time Delay  

Directory of Open Access Journals (Sweden)

Full Text Available In this paper, a control system for the influence of a time delay compensation using predictors and a disturbance observer is proposed. The time delay in the controlled plant is one of the serious problems decreasing the control stability. Therefore, many control methods for controlled plants with a time delay have been proposed until now. We proposed an effective control system for influence of time delay by connecting predictors and a disturbance observer to a PID control system. It alleviates the influence of the time delay on the target response and disturbance response.

Y. Hikichi

2013-02-01

347

Modelling and Controller Design of Inverted Pendulum  

Directory of Open Access Journals (Sweden)

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.

Mr.Pankaj Kumar,Mr. KunalChakraborty,Mr. RabiRanjan Mukherjee,Mr.SuvobratraMukherjee

2013-01-01

348

A robust PID controller based on imperialist competitive algorithm for load-frequency control of power systems.  

Science.gov (United States)

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

Shabani, Hamed; Vahidi, Behrooz; Ebrahimpour, Majid

2013-01-01

349

Design Controller for a Class of Nonlinear Pendulum Dynamical System  

Directory of Open Access Journals (Sweden)

Full Text Available 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.

Mohamad Reza Rahimi Khoygani

2013-11-01

350

Comparison between Conventional PID and Fuzzy Logic Controller for Liquid Flow Control: Performance Evaluation of Fuzzy Logic and PID Controller by Using MATLAB/Simulink  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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...

Gaurav; Amrit Kaur,

2012-01-01

351

Nonlinear PID-based analog neural network control for a two link rigid robot manipulator and determining the maximum load carrying capacity  

Directory of Open Access Journals (Sweden)

Full Text Available 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 controller and a neural network, which has powerful capability of continuously online learning, adaptation and tackling nonlinearity, brings us the novel nonlinear PID-based analog neural network controller. Computer simulations were carried out in two axes manipulator and the effectiveness of the proposed control algorithm was demonstrated through the experiments, which suggests its superior performance and increasing the maximum load carrying capacity of this manipulator.

Hadi Razmi

2012-03-01

352

An Implementation and Comparative Analysis of PID Controller and their Auto tuning method Considering uncertainty for the Robust Control of Concentration in CSTR  

Directory of Open Access Journals (Sweden)

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.

Dr. Dipak Ranjan Jana

2011-11-01

353

Qualitative vs. quantitative data: Controls on the accuracy of PID field screening in petroleum contamination assessment applications  

International Nuclear Information System (INIS)

The use of photoionization detectors (PIDs) for field screening of soils for volatile organic contaminants has become a standard industry practice. PID screening data is generally utilized as a qualitative basis for selection of samples for laboratory analysis to quantify concentrations of specific contaminants of concern. Both qualitative field screening data and quantitative laboratory analytical data were reviewed for more than 100 hydrogeologic assessment sites in Ohio to evaluate controls on the effectiveness of field screening data. Assessment data evaluated was limited to sites at which the suspected contaminant source was a gasoline underground storage tanks system. In each case, a 10.0 eV (or greater) PID calibrated for benzene was used to screen soils which were analyzed for benzene, toluene, ethylbenzene and xylene (BTEX) by SW 846 method 8020. Controls on field screening which were evaluated for each site included (1) soil classification, (2) soil moisture, (3) weather conditions, (4) background levels, (5) equipment quality, (6) screening methodology, and (7) laboratory QA/QC. Statistical data analysis predictably indicated a general overestimate of total BTEX levels based on field screening (gasoline is approximately 25 weight percent BTEX). However, data locally indicated cases of both significant (i.e., more than an order of magnitude difference) over- and under-estimation of actual BTEX concentrations (i.e., quantitative laboratory data) by field screuantitative laboratory data) by field screening data

354

Real Time Implementation of PID and Fuzzy PD Controllers for DC-Servo Motor Based on Lab View Environment  

Directory of Open Access Journals (Sweden)

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.

Safaa M. Z. Al-Ubaidi

2012-06-01

355

Comparative Performance Analysis between Fuzzy Logic Controller (FLC) and PID Controller for an Inverted Pendulum System  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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 strategie...

Aleem Ahmed Khan; Kashan Hussain

2012-01-01

356

New Algorithm for the Smoothing Speed Control of Induction Motor in Electric Car based on Self-Tuning Parameter PID-Fuzzy Logic  

Directory of Open Access Journals (Sweden)

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.

Dedid Cahya Happyanto

2012-05-01

357

The Self-Adaptive Fuzzy PID Controller in Actuator Simulated Loading System  

Digital Repository Infrastructure Vision for European Research (DRIVER)

This paper analyzes the structure principle of the actuator simulated loading system with variable stiffness, and establishes the simplified model. What’s more, it also does a research on the application of the self-adaptive tuning of fuzzy PID(Proportion Integration Differentiation) in actuator simulated loading system with variable stiffness. Because the loading system is connected with the steering system by a spring rod, there must be strong co...

Chuanhui Zhang; Xiaodong Song

2013-01-01

358

OPTIMAL CONTROL OF INVERTED PENDULUM BASED ON TWO PID AND LQR ARRANGEMENT AND IMPROVED BP NEURAL NETWORK  

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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.

RASHMITA KHARE, M. J. NIGAM

2013-08-01

359

Optimal PID Controller Tuning for Multivariable Aircraft Longitudinal Autopilot Based on Particle Swarm Optimization Algorithm  

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Full Text Available This paper presents an optimized controller around the longitudinal axis of multivariable system in one of the aircraft flight conditions. The controller is introduced in order to control the angle of attack from the pitch attitude angle independently (that is required for designing a set of direct force-modes for the longitudinal axis based on particle swarm optimization (PSO algorithm. The autopilot system for military or civil aircraft is an essential component and in this paper, the autopilot system via 6 degree of freedom model for the control and guidance of aircraft in which the autopilot design will perform based on defining the longitudinal and the lateral-directional axes are supposed. The effectiveness of the proposed controller is illustrated by considering HIMAT aircraft. The simulation results verify merits of the proposed controller.

Mostafa Lotfi Forushani

2012-04-01

360

Development of ANN model for geothermal district heating system and a novel PID-based control strategy  

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%

 
 
 
 
361

Chaos suppression on a class of uncertain nonlinear chaotic systems using an optimal H? adaptive PID controller  

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.

362

OPTIMAL CONTROL OF INVERTED PENDULUM BASED ON TWO PID AND LQR ARRANGEMENT AND IMPROVED BP NEURAL NETWORK  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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...

Rashmita Khare, M. J. Nigam

2013-01-01

363

Predator and Prey Modified Biogeography Based Optimization Approach (PMBBO in Tuning a PID Controller for Nonlinear Systems  

Directory of Open Access Journals (Sweden)

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.

Mohammed Salem

2014-10-01

364

Implementación de un controlador PID mediante RNA para el control de motores D.C de robots moviles diferenciales  

Directory of Open Access Journals (Sweden)

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.

Germ\\u00E1n A. Hern\\u00E1ndez Mill\\u00E1n

2012-01-01

365

Neural Network Pid Control of a Distributed Power Generation System Based on Renewable Energy  

Directory of Open Access Journals (Sweden)

Full Text Available This study proposed a new energy control strategy for a distributed power generation system based on renewable. A mathematical model of the system was built based on a vector-controlled induction machine driving a flywheel. The BP Neural network control method was designed in the system in order to regulate DC Bus voltage, which is the object of the system. The experimental results on a wind simulator and flywheel based system verified that proposed energy complementary control can satisfactorily regulate the power of the storage unit to store and release energy and thus to maintain a steady DC voltage from the distributed power generation system.

Jian Wang

2005-01-01

366

Two-Degrees-of-Freedom Robust PID Controllers Tuning Via a Multiobjective Genetic Algorithm  

Directory of Open Access Journals (Sweden)

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.

Jos\\u00E9 Rub\\u00E9n Lagunas-Jim\\u00E9nez

2014-01-01

367

An Implementation and Comparative Analysis of PID Controller and their Auto tuning method Considering uncertainty for the Robust Control of Concentration in CSTR  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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...

Dr. Dipak Ranjan Jana; Er. Farhad Aslam; Er. Lava Kumar Sinha

2011-01-01

368

Pelvic Inflammatory Disease (PID)  

Science.gov (United States)

... result in chronic pelvic pain, infertility, or an ectopic pregnancy. What Are the Symptoms of PID? PID can ... has more of a chance of being infertile. Ectopic pregnancy. If someone who has had PID does get ...

369

New design deforming controlling system of the active stressed lap  

Science.gov (United States)

A 450mm diameter active stressed lap has been developed in NIAOT by 2003. We design a new lap in 2007. This paper puts on emphases on introducing the new deforming control system of the lap. Aiming at the control characteristic of the lap, a new kind of digital deforming controller is designed. The controller consists of 3 parts: computer signal disposing, motor driving and force sensor signal disposing. Intelligent numeral PID method is applied in the controller instead of traditional PID. In the end, the result of new deformation are given.

Ying, Li; Wang, Daxing

2008-07-01

370

The design of the MISO Model Predictive Controller for Bioreactor  

Directory of Open Access Journals (Sweden)

Full Text Available 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 results prove that the model predictive control has several advantages over the other controls for bioreactors.

HUANG Dong

2012-10-01

371

The Design for the Boiler Drum Level System Based on Immune Control  

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Full Text Available Aiming at multi-disturbance characteristic of drum water level system, control system uses three impulse cascade control strategy. This paper designs three impulse cascade control combined of incomplete differential PID and immune P control, fully using the advantages of artificial immune feedback control and incomplete differential PID. Boiler drum level simulation result shows the cascade control based on immune feedback mechanism, can improve the system dynamic performance. The simulation results also prove the validity of the control strategy.

GuiLi Yuan

2012-03-01

372

Controller Design using Pade approximation and mixed methods  

Directory of Open Access Journals (Sweden)

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.

Parvendra Kumar

2012-07-01

373

PID Tuning Using Extremum Seeking  

Energy Technology Data Exchange (ETDEWEB)

Although proportional-integral-derivative (PID) controllers are widely used in the process industry, their effectiveness is often limited due to poor tuning. Manual tuning of PID controllers, which requires optimization of three parameters, is a time-consuming task. To remedy this difficulty, much effort has been invested in developing systematic tuning methods. Many of these methods rely on knowledge of the plant model or require special experiments to identify a suitable plant model. Reviews of these methods are given in [1] and the survey paper [2]. However, in many situations a plant model is not known, and it is not desirable to open the process loop for system identification. Thus a method for tuning PID parameters within a closed-loop setting is advantageous. In relay feedback tuning [3]-[5], the feedback controller is temporarily replaced by a relay. Relay feedback causes most systems to oscillate, thus determining one point on the Nyquist diagram. Based on the location of this point, PID parameters can be chosen to give the closed-loop system a desired phase and gain margin. An alternative tuning method, which does not require either a modification of the system or a system model, is unfalsified control [6], [7]. This method uses input-output data to determine whether a set of PID parameters meets performance specifications. An adaptive algorithm is used to update the PID controller based on whether or not the controller falsifies a given criterion. The method requires a finite set of candidate PID controllers that must be initially specified [6]. Unfalsified control for an infinite set of PID controllers has been developed in [7]; this approach requires a carefully chosen input signal [8]. Yet another model-free PID tuning method that does not require opening of the loop is iterative feedback tuning (IFT). IFT iteratively optimizes the controller parameters with respect to a cost function derived from the output signal of the closed-loop system, see [9]. This method is based on the performance of the closed-loop system during a step response experiment [10], [11]. In this article we present a method for optimizing the step response of a closed-loop system consisting of a PID controller and an unknown plant with a discrete version of extremum seeking (ES). Specifically, ES is used to minimize a cost function similar to that used in [10], [11], which quantifies the performance of the PID controller. ES, a non-model-based method, iteratively modifies the arguments (in this application the PID parameters) of a cost function so that the output of the cost function reaches a local minimum or local maximum. In the next section we apply ES to PID controller tuning. We illustrate this technique through simulations comparing the effectiveness of ES to other PID tuning methods. Next, we address the importance of the choice of cost function and consider the effect of controller saturation. Furthermore, we discuss the choice of ES tuning parameters. Finally, we offer some conclusions.

Killingsworth, N; Krstic, M

2005-11-15

374

High Step up DC-DC Converter with PID Controller for Photovoltaic Applications  

Directory of Open Access Journals (Sweden)

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.

Rakesh Kumar Goudanaikar

2014-06-01

375

Computer-aided control system design  

International Nuclear Information System (INIS)

Control systems are typically implemented using conventional PID controllers, which are then tuned manually during plant commissioning to compensate for interactions between feedback loops. As plants increase in size and complexity, such controllers can fail to provide adequate process regulations. Multivariable methods can be utilized to overcome these limitations. At the Chalk River Nuclear Laboratories, modern control systems are designed and analyzed with the aid of MVPACK, a system of computer programs that appears to the user like a high-level calculator. The software package solves complicated control problems, and provides useful insight into the dynamic response and stability of multivariable systems

376

GDO Artificial Intelligence-Based Switching PID Baseline Feedback Linearization Method: Controlled PUMA Workspace  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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...

Farzin Piltan; Reza Bayat; Saleh Mehara; Javad Meigolinedjad

2012-01-01

377

PID parameters setting on level control system of steam generator in Qinshan phase II NPP  

International Nuclear Information System (INIS)

Based on SimPort simulation platform of nuclear power plant, a simulation model on the level control system of steam generator in the unit one of Qinshan Phase II NPP was established. Using this model, transient simulation experiments and researches with different conditions were conducted and the setpoints of the level control system were obtained. To level controller, KP, TI and TD are 4.25, 425 s and 10 s respectively. To flow controller, KP is 1.0 and TI is 13 s. These setpoints are in agreement with the actual values and can be referred by engineering technicians. (authors)

378

GDO Artificial Intelligence-Based Switching PID Baseline Feedback Linearization Method: Controlled PUMA Workspace  

Directory of Open Access Journals (Sweden)

Full Text Available 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 in certain systems. Practically a large amount of systems have uncertainties accordingly this method has a challenge. Switching feedback linearization controller is a significant combination nonlinear stable-robust controller under condition of partly uncertain dynamic parameters of system. This technique is used to control of highly nonlinear systems especially in nonlinear time varient nonlinear dynamic system. To increase the stability and robustness with regards to improve the robustness switching methodology is applied to feedback linearization controller. Lyapunov stability is proved in proposed controller based on switching function. To compensate for the dependence on switching parameters baseline methodology is used.The nonlinear model dynamic formulation problem in uncertain system can be solved by using artificial intelligence theorem. Fuzzy logic theory is used to estimate the system dynamic. Forward kinematics implemented the manipulator's movements. Results validated the robot's range of possible postures and trajectories.

Farzin Piltan

2012-10-01

379

Parameter Turning of PID Controller Based on Molecular Beacon DNA Computing  

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Full Text Available Molecular beacon deoxyribonucleic acid computing is new research focus of intelligent control theory in recent years, it is also new bionic algorithm. It is well known that a very important problem how to determine or tune the proportional integral derivative controller parameters, because these parameters have a great influence on the stability and the performance of the control system. Parameter turning of proportional integral derivative controller by using molecular beacon deoxyribonucleic acid computing can avoid system early-ripe and find global optimal solution rapidly. Molecular beacon is a single strand of deoxyribonucleic acid base pairs formed their own part of the hairpin-like fluorescent probes, the use of molecular beacon can readily detect the concentration of deoxyribonucleic acid molecule which matching with it in test tube, the result of detection can decide which need to be copied and which need to be discarded. The molecular beacon deoxyribonucleic acid computing has high reliability and easy operation for proportional integral derivative controller parameter tuning. The result of simulation proves that molecular beacon deoxyribonucleic acid computing algorithm has distinct advantages than traditional algorithm. molecular beacon deoxyribonucleic acid computing is bound to has very great impact on intelligent control in the future.

Yourui Huang

2012-10-01

380

Regulación de la temperatura del vapor sobrecalentado en un generador de vapor BKZ-340-140-29M de 100 MW mediante un control PID 2-GdL y filtraje de la medida / Temperature regulation of the steam overheated in a boiler BKZ-340-140-29M of 100 MW using 2-DoF PID control and measure filtering  

Scientific Electronic Library Online (English)

Full Text Available SciELO Cuba | Language: Spanish Abstract in spanish 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.

Tania, García Martínez; Rafael F., Tanda Martínez; Alberto, Aguado Behar.

2012-12-01

 
 
 
 
381

Regulación de la temperatura del vapor sobrecalentado en un generador de vapor BKZ-340-140-29M de 100 MW mediante un control PID 2-GdL y filtraje de la medida / Temperature regulation of the steam overheated in a boiler BKZ-340-140-29M of 100 MW using 2-DoF PID control and measure filtering  

Scientific Electronic Library Online (English)

Full Text Available SciELO Cuba | Language: Spanish Abstract in spanish 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.

Tania, García Martínez; Rafael F., Tanda Martínez; Alberto, Aguado Behar.

382

A tuning method for robust PID controller during fast transient; Une methode de reglage de correcteur PID robuste pour transitique rapide  

Energy Technology Data Exchange (ETDEWEB)

In this paper is presented a method for tuning a robust controller well adapted for positioning a load of variable inertia fed by an electric actuator. This method relies on a multi-model pole assignment and minimizes effect of measurement noise. It has been implemented on the benchmark 'fast transitic' located at the LGEP. Thus compared to a classical pole assignment method, the gain of robustness has been shown. The actuator used is an induction machine with flux-oriented control, which is known for its sensitivity to rotor parameter estimation errors. In order to check robustness, a model accounting to this phenomenon is developed and stability margins are computed. (authors)

Laroche, E. [Lab. des Sciences de l' Image, de l' Informatique et de la Teledetection, UMR 7005, Pole API, 67 - Illkirch (France); Mendes, E. [Laboratoire de Genie Electrique de Paris, UMR 8507, 91 - Gilf sur Yvette (France); Louis, J.P.; Bonnassieux, Y.; Abou-Kandil, H. [Laboratoire d' Electricite, Signaux et Robotique, UPRESA 8029, 94 - Cachan (France)

2002-07-01

383

Design of multivariable controllers for robot manipulators  

Science.gov (United States)

The paper presents a simple method for the design of linear multivariable controllers for multi-link robot manipulators. The control scheme consists of multivariable feedforward and feedback controllers. The feedforward controller is the minimal inverse of the linearized model of robot dynamics and contains only proportional-double-derivative (PD2) terms. This controller ensures that the manipulator joint angles track any reference trajectories. The feedback controller is of proportional-integral-derivative (PID) type and achieves pole placement. This controller reduces any initial tracking error to zero as desired and also ensures that robust steady-state tracking of step-plus-exponential trajectories is achieved by the joint angles. The two controllers are independent of each other and are designed separately based on the linearized robot model and then integrated in the overall control scheme. The proposed scheme is simple and can be implemented for real-time control of robot manipulators.

Seraji, H.

1986-01-01

384

DC-DC Converters Using PID Controller and Pulse Width Modulation Technique  

Directory of Open Access Journals (Sweden)

Full Text Available This paper presents a boost converter along with a flyback converter. The Zero Voltage Switching (ZVS technique is used to achieve soft switching. A bidirectional boost converter is connected with an output module as a Parallel Input Serial Output configuration. The flyback converter with Voltage Doubler Rectifier (VDR acts as an output module. This connection makes a bidirectional boost converter an active clamp circuit which is connected to the output side in order to extend the step up ratio. A converter with active clamp technique is used to recycle the leakage energy, to eliminate voltage spike due to coupled inductors and also to provide a mechanism to achieve ZVS. To overcome the efficiency degradation during light load due to load dependent soft switching of the ZVS, a control method using Pulse Width Modulation (PWM proportional to the load current is used.

R.Sudha

2014-01-01

385

Design and Analysis of a Sliding Table Controller for Diabetes  

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Full Text Available A discrete insulin infusion based on long-time interval measurement is the classic technique for diabetes treatment. Nevertheless, in this research, a closed-loop control system was proposed for continuous drug infusion to overcome the drawbacks of these typical discrete methods and develop more practical diabetes therapy systems. A blood glucose-insulin system was implemented relying on continuous insulin injection model. Based on this model, two controllers were designed to deal with the control dilemma of the resulting highly nonlinear plant. The controllers designed in this paper are: proportional integral derivative (PID, and sliding table controllers. Simulation results have shown that the sliding table controller can outperform the PID controller even with severe circumstances of disturbance in glucose, such as exercise, delay or noise in glucose sensor and nutrition mixed meal absorption at meal times.

Ahmed Y. Ben Sasi

2013-08-01

386

Design and Simulation of Conventional and Intelligent Controllers for Temperature Control Of Shell and Tube Heat Exchanger System  

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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.

E.saranya

2013-07-01

387

PID controller parameters optimization of hydro-turbine governing systems using deterministic-chaotic-mutation evolutionary programming (DCMEP)  

International Nuclear Information System (INIS)

This paper proposes an improved evolutionary programming (EP) method with deterministic mutation factor for on line PID parameters optimization of hydro-turbine governing systems. The mutation factors are usually generated with Gaussian or Cauchy random series in conventional evolutionary programming algorithms. Considering the difficulties of on line optimal parameters settings resulting from nonlinear time-variant hydro-turbine governing systems, this paper introduces deterministic chaos dynamics into the mutation operation of EP and provides a deterministic chaotic mutation evolutionary programming (DCMEP) method. The improved method develops the traditional concept that implements mutation operation with a fixed random distribution using a quasi-random deterministic way to generate the mutation factor. The test result of the two real hydro-turbine governing systems shows that the improved method can optimize the PID parameters efficiently, and the system has the characteristics of stability; low overshoot level and fast response

388

Research and Application of Fuzzy Control in Boiler Combustion System Based on ACA  

Directory of Open Access Journals (Sweden)

Full Text Available In the complex control processes of the industrial boiler combustion system with non-linear, time-varying and multivariable, aim at the original control parameters fixed, slow response, delay regulation and other problems, this paper introduces a control method that combines ant colony algorithm with fuzzy PID control, improves the design of fuzzy control rules table and optimizes the PID control parameters. Simulation results show that this control scheme is superior to conventional PID control and fuzzy PID control.

Chen Wu

2011-12-01

389

Steady-state, self-oscillating and chaotic behavior of a PID controlled nonlinear servomechanism by using Bogdanov-Takens and Andronov-Poincaré-Hopf bifurcations  

Science.gov (United States)

This paper analyzes a controlled servomechanism with feedback and a cubic nonlinearity by means of the Bogdanov-Takens and Andronov-Poincaré-Hopf bifurcations, from which steady-state, self-oscillating and chaotic behaviors will be investigated using the center manifold theorem. The system controller is formed by a Proportional plus Integral plus Derivative action (PID) that allows to stabilize and drive to a prescribed set point a body connected to the shaft of a DC motor. The Bogdanov-Takens bifurcation is analyzed through the second Lyapunov stability method and the harmonic-balance method, whereas the first Lyapunov value is used for the Andronov-Poincaré-Hopf bifurcation. On the basis of the results deduced from the bifurcation analysis, we show a procedure to select the parameters of the PID controller so that an arbitrary steady-state position of the servomechanism can be reached even in presence of noise. We also show how chaotic behavior can be obtained by applying a harmonical external torque to the device in self-oscillating regime. The advantage of achieving chaotic behavior is that it can be used so that the system reaches a set point inside a strange attractor with a small control effort. The analytical calculations have been verified through detailed numerical simulations.

Pérez-Molina, Manuel; Pérez-Polo, Manuel F.

2014-10-01

390

Experimental comparison of classical pid and model-free control: position control of a shape memory alloy active spring  

Digital Repository Infrastructure Vision for European Research (DRIVER)

Shape memory alloys (sma) are more and more integrated in engineering applications. These materials with their shape memory effect permit to simplify mechanisms and to reduce the size of actuators. sma parts can easily be activated by Joule effect but their modelling and consequently their control remains difficult, it is principally due to their hysteretic thermomechanical behaviour. Most of successful control strategy applied to sma actuator are not often suitable for industrial application...

Ge?douin, Pierre-antoine; Delaleau, Emmanuel; Bourgeot, Jean-matthieu; Join, Ce?dric; Arbab-chirani, Shabnam; Calloch, Sylvain

2011-01-01

391

A neuro-inspired spike-based PID motor controller for multi-motor robots with low cost FPGAs.  

Science.gov (United States)

In this paper we present a neuro-inspired spike-based close-loop controller written in VHDL and implemented for FPGAs. This controller has been focused on controlling a DC motor speed, but only using spikes for information representation, processing and DC motor driving. It could be applied to other motors with proper driver adaptation. This controller architecture represents one of the latest layers in a Spiking Neural Network (SNN), which implements a bridge between robotics actuators and spike-based processing layers and sensors. The presented control system fuses actuation and sensors information as spikes streams, processing these spikes in hard real-time, implementing a massively parallel information processing system, through specialized spike-based circuits. This spike-based close-loop controller has been implemented into an AER platform, designed in our labs, that allows direct control of DC motors: the AER-Robot. Experimental results evidence the viability of the implementation of spike-based controllers, and hardware synthesis denotes low hardware requirements that allow replicating this controller in a high number of parallel controllers working together to allow a real-time robot control. PMID:22666004

Jimenez-Fernandez, Angel; Jimenez-Moreno, Gabriel; Linares-Barranco, Alejandro; Dominguez-Morales, Manuel J; Paz-Vicente, Rafael; Civit-Balcells, Anton

2012-01-01