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1

Design of Fuzzy Adaptive PID Temperature Controller Based on FPGA  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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...

Gang Qin; Yanni Ma; Xiangzhou Zhang; Ming Zhang

2013-01-01

2

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

3

On PID Controller Design Using Knowledge Based Fuzzy System  

Digital Repository Infrastructure Vision for European Research (DRIVER)

The designing of PID controllers is a frequently discussed problem. Many of design methods have been developed, classic (analytical tuning methods, optimization methods etc.) or not so common fuzzy knowledge based methods which are designed to achieve good setpoint following, corresponding time response etc. In this case, the new way of designing PID controller parameters is created where the above mentioned knowledge system based on relations of Ziegler-Nichols design methods is used, more p...

2012-01-01

4

Design of PID control system based on LabVIEW  

Science.gov (United States)

In this paper, the temperature control system of furnace was studied based on the developing platform of the virtual instrument--LabVIEW. The system consist the design of hardware and software parts. The hardware system mainly includes two parts: temperature test and control circuit, PCI-6024 data acquisition card. The software system mainly includes: main control module, data acquisition module, PID control module, data writing module, data reading module, data printing module, data transmission module, error event processing module. It also introduces the way how to adjust PID parameter. At last, practice proved that the design of PID control system has a good practical value and application prospect.

Jiang, Wei; Yuan, Fang

2009-07-01

5

Design of decoupled PID controllers for MIMO systems  

Digital Repository Infrastructure Vision for European Research (DRIVER)

The design of PID controllers for systems with interacting loops is discussed. It is important to deal with the interaction at the lower-level loops, since supervisory control based on for instance MPC seldom has sufficient bandwidth. A new scheme based on modified scalar PID design and static decoupling is developed, where the frequency characteristics of the coupling between the lower-level loops is taken into account. This leads to a design method emphasizing the trade-off between the indi...

2001-01-01

6

PID and PID-like controller design by pole assignment within D-stable regions  

Digital Repository Infrastructure Vision for European Research (DRIVER)

This paper presents a new PID and PID-like controller design method that permits the designer to control the desired dynamic performance of a closed-loop system by first specifying a set of desired D-stable regions in the complex plane and then running a numerical optimisation algorithm to find the controller parameters such that all the roots of the closed-loop system are within the specified regions. This method can be used for stable and unstable plants with high order degree, for plants w...

Wang, Y.; Schinkel, M.; Schmitt-hartmann, T.; Hunt, K. J.

2002-01-01

7

On PID Controller Design Using Knowledge Based Fuzzy System  

Directory of Open Access Journals (Sweden)

Full Text Available The designing of PID controllers is a frequently discussed problem. Many of design methods have been developed, classic (analytical tuning methods, optimization methods etc. or not so common fuzzy knowledge based methods which are designed to achieve good setpoint following, corresponding time response etc. In this case, the new way of designing PID controller parameters is created where the above mentioned knowledge system based on relations of Ziegler-Nichols design methods is used, more precisely the combination of the both Ziegler-Nichols methods. The proof of efficiency of a proposed method and a numerical experiment is presented.

Jana Nowakova

2012-01-01

8

Direct Design of PID Controllers Based on Transient Response Data  

Science.gov (United States)

Data-driven design methods are reviewed briefly, and a new PID control design method for stable plants is presented. A linear constraint on the loop transfer function is introduced and the optimal solution can be obtained by solving a linear programming problem once. Adequacy of the constraint is explained from desirable closed-loop transfer functions.

Saeki, Masami

9

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

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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

11

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.

2009-11-01

12

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...

2012-01-01

13

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

Digital Repository Infrastructure Vision for European Research (DRIVER)

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 stab...

2009-01-01

14

Adaptive Neuro-PID Controller Design with Application to Nonlinear Water Level in NEKA Power Plant  

Digital Repository Infrastructure Vision for European Research (DRIVER)

In this study, two novel adaptive PID-like controllers capable of controlling multi-variable, non-linear Multi-Input Multiple-Output (MIMO) systems are proposed. The proposed controllers are designed based on neural networks techniques. The learning algorithms are derived according to minimization of the error between the output of the system and the desired output. At first, two kinds of PID-like neural network controller named neural network PID and Neural network PID with internal dynamic ...

2009-01-01

15

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

16

A General Method for Designing Fractional Order PID Controller  

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Full Text Available The idea of using fractional order calculus in control became apparent when this kind of calculus was accepted as a powerful tool in many applications. This resulted in a new generation of PID controller called fractional order PID Controller, named as Controller. controller is more flexible and provides a better response with larger stability region as compared with standard PID controller. This paper presents a simple and reliable method for finding the family of controllers. The required calculations are done in frequency domain based on frequency response of the system and the stability region is specified in the parameters space. This method can be used for time-delay systems and, more generally, for any system with no transfer function.

Marzieh Safaei

2013-01-01

17

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

18

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

2005-10-01

19

Design & Implementation of PID Controller Based On FPGA with PWM Modulator  

Digital Repository Infrastructure Vision for European Research (DRIVER)

Proportional-Integral-Derivative (PID) controllers are universal control structure and have widely used in Automation systems, they are usually implemented either in hardware using analog components or in software using Computer-based systems. In this paper, we focused our works designing on building a multi-channel PID controller by Field Programmable Gate Arrays (FPGAs). To overcome the hardware complexity by the use of more processors for multi channel, we are using single PID controller f...

2013-01-01

20

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

 
 
 
 
21

Fuzzy Auto-adjust PID Controller Design of Brushless DC Motor  

Science.gov (United States)

Using conventional PID control method, to guarantee the rapidity and small overshoot dynamic and static performance of the BLDCM (brushless DC motor) system is out of the question. The control method to combine fuzzy control with PID control was fit the multivariable strong coupling nonlinear characteristic of BLDCM system. Matlab/Simulink simulation model had been built. The result of computer simulation shows that, compared with the conventional PID controller, the dynamic and static performance of fuzzy auto-adjust PID controller are put forward to optimize. The research work of this paper has profound significance for high precision controller design.

Yuanxi, Wang; Yali, Yu; Guosheng, Zhang; Xiaoliang, Sheng

22

A Methodology to Design FPGA-based PID Controllers  

Digital Repository Infrastructure Vision for European Research (DRIVER)

This paper presents a methodology to implement PID (Proportional, Integral, Derivative) controllers in FPGAs (Field-Programmable Gate Arrays) using fixed-point numerical representation. The Matlab/Simulink environment is used for modeling, simulation and evaluation the performance provided by different fixed-point representations using a given control process. A static bit-width analyzer is used to give a specialized fixed-point representation for each operand/operator in the controller syste...

Lima, Joa?o M. G.; Menotti, Ricardo; Cardoso, Joa?o M. P.; Marques, Eduardo

2006-01-01

23

Diseño, Implementación y Validación de un Controlador PID Autosintonizado / Design, Implementation and Validation of a Self-Tuning PID Controller  

Scientific Electronic Library Online (English)

Full Text Available SciELO Colombia | Language: Spanish Abstract in spanish En este artículo se presenta el diseño y la implementación de un controlador PID autosintonizado. La metodología propuesta utiliza el método de mínimos cuadrados con reinicio de covarianza y el diseño por reubicación de polos para el cálculo de los parámetros del controlador. El diseño propuesto se [...] implementa en sistemas estables e inestables simulados en un computador análogo COMDYNA GP-6, y se presenta una comparación del desempeño del controlador autosintonizado y un controlador PID clásico en términos del error medio cuadrático. Los resultados obtenidos muestran que los controladores de parámetros adaptativos tienen una mejor respuesta que los controladores de parámetros fijos frente a variaciones de parámetros que puedan afectar las condiciones del sistema. Abstract in english In this paper the design and the implementation of a self-tuning PID controller is presented. The proposed methodology uses a least squares method with covariance resetting and a pole placement design for the calculation of controller parameters. The proposed design is implemented on stable and unst [...] able systems simulated in a COMDYNA GP-6 analog computer, and a comparison of the performance of the self-tuning controller and a classic PID controller is presented in terms of root mean square error. The obtained results show that controllers of adaptive parameters have a better response than controllers of fixed parameters with respect to parameter variations that may affect the conditions of the system.

Leonardo F., Lozano-Valencia; Luis F., Rodríguez-García; Dídier, Giraldo-Buitrago.

24

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.

2009-10-30

25

Design of an Implicit GMV-PID Controller Using Closed Loop Data  

Science.gov (United States)

In industrial processes, PID control has been applied to a lot of real systems. The control performance strongly depends on PID parameters. Although, some schemes for tuning PID parameters have been proposed, however, these schemes need system parameters which are estimated by system identification in order to calculate PID parameters. On the other hand, model-free controller design schemes represented by VRFT or FRIT which have received much attention in last few years. These methods can calculate control parameters using closed-loop data and are expected to reduce computational costs. In this paper, a type of implicit PID controllers using closed-loop data is proposed. According to the proposed method, PID parameters are calculated based on the implicit GMVC. Moreover, the control performance can be suitably adjusted by only user-specified parameter. The effectiveness of the proposed method is numerically and experimentally evaluated.

Wakitani, Shin; Hosokawa, Kei; Yamamoto, Toru

26

Robust PID Parameter Design for Embedded Temperature Control System Using Taguchi Method  

Science.gov (United States)

This paper proposes a robust PID parameter design scheme using Taguchi's robust design method. This scheme is applied to an embedded PID temperature control system which is affected by outside (room) temperature. The effectiveness of this scheme is verified experimentally with a cooking household appliance.

Suzuki, Arata; Sugimoto, Kenji

27

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

28

Design Control And Modeling Of Three Phase Bldc Motor Applications Using Pid  

Directory of Open Access Journals (Sweden)

Full Text Available Abstract:The research paper is to develop a complete model of the BLDC motor and to design controller for its position control. PID controllers used for many control problems because of its simple structure, implementation. In practical, we often do not get the optimum performance with the conventionally tuned PID controllers. The efficiency of this method is compared with that of traditional method. I predict results showed that PID control tuned by GA somewhat efficient closed loop response for position control of BLDC motor. The modeling, control and simulation of the BLDC motor have been done using the software.

S.SATHISH KUMAR, DR.R.MEENAKUMARI, P.RAVIKUMAR.AP, V.KRISHNAVENI, K.KIRUTHIKA

2013-08-01

29

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

30

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

2012-10-01

31

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

32

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

33

Research Trends for PID Controllers  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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.

2012-01-01

34

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

Digital Repository Infrastructure Vision for European Research (DRIVER)

In this paper, an intelligent tracking control system of both single- and double-axis Piezoelectric Micropositioner stage is designed using Genetic Algorithms (GAs) method for the optimal Proportional-Integral-Derivative (PID) controller tuning parameters. The (GA)-based PID control design approach is a methodology to tune a (PID) controller in an optimal control sense with respect to specified objective function. By using the (GA)-based PID control approach, the high-performance trajectory t...

2012-01-01

35

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

36

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

37

Design of sewage treatment system by applying fuzzy adaptive PID controller  

Science.gov (United States)

In the sewage treatment system, the dissolved oxygen concentration control, due to its nonlinear, time-varying, large time delay and uncertainty, is difficult to establish the exact mathematical model. While the conventional PID controller only works with good linear not far from its operating point, it is difficult to realize the system control when the operating point far off. In order to solve the above problems, the paper proposed a method which combine fuzzy control with PID methods and designed a fuzzy adaptive PID controller based on S7-300 PLC .It employs fuzzy inference method to achieve the online tuning for PID parameters. The control algorithm by simulation and practical application show that the system has stronger robustness and better adaptability.

Jin, Liang-Ping; Li, Hong-Chan

2013-03-01

38

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

39

PI/PID controller design based on IMC and percentage overshoot specification to controller setpoint change.  

Science.gov (United States)

In this work, the normalized Internal Model Control (IMC) filter time constant is designed to achieve a specified value of the maximum sensitivity for stable first and second order plus time delay process models, respectively. Since a particular value of the maximum sensitivity results in an almost constant percentage overshoot to controller setpoint change, an empirical relationship between the normalized IMC filter time constant and percentage overshoot is presented. The main advantage of the proposed method is that only a user-defined overshoot is required to design a PI/PID controller. Simulation examples are given to demonstrate the value of the proposed method. PMID:18848321

Ali, Ahmad; Majhi, Somanath

2009-01-01

40

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

 
 
 
 
41

Design and Robustness Analysis of a PID Based Sliding Mode Controller for a dc-dc Converter  

Digital Repository Infrastructure Vision for European Research (DRIVER)

This study deals with the design and analysis of a dc-dc converter operating in continuous conduction mode with Proportional-Integral-Derivative control and PID based Sliding Mode Control (SMC). A small signal model is developed using Switching Flow Graph (SFG) from which the control coefficients for the PID controller is selected. PID based SMC uses a control law which constrains the weighted sum of the voltage error, its derivatives and the integral of the voltage error to zero. The equival...

2012-01-01

42

Adaptive Neuro-PID Controller Design with Application to Nonlinear Water Level in NEKA Power Plant  

Directory of Open Access Journals (Sweden)

Full Text Available In this study, two novel adaptive PID-like controllers capable of controlling multi-variable, non-linear Multi-Input Multiple-Output (MIMO systems are proposed. The proposed controllers are designed based on neural networks techniques. The learning algorithms are derived according to minimization of the error between the output of the system and the desired output. At first, two kinds of PID-like neural network controller named neural network PID and Neural network PID with internal dynamic feedbacks are introduced. Both of the proposed controllers may be used for controlling multivariable systems. The difference between these two controllers is mainly in the structure of their hidden layers that leads to their different performance. These controllers are applied to different kinds of black box, linear or nonlinear and time variant or time invariant systems. The stability of the proposed algorithm is also proven mathematically. Compared to conventional methods, very good results are achieved using the proposed methods. The simulation results show the quality performance of the proposed adaptive controllers and algorithms. Finally to show the performance of the proposed method, it is applied to the water level of tanks in water refinement process in NEKA Power Plant which is generally a very nonlinear system. Simulation results in this study show good performance of the proposed adaptive controllers.

A. Yazdizadeh

2009-01-01

43

Design of Performance-Driven PID Control Systems based on Control Performance Assessment  

Science.gov (United States)

In the challenge to manufacture high quality products for less, it is necessary to regularly monitor performance of control loops that regulate the quality variables of interests. This paper introduces two methods of performance-driven PID control systems whose PID parameters are re-tuned based on the controller performance assessment. The re-tuning is based on the self-tuning control mechanism. The effectiveness of these schemes are demonstrated by the experimental studies.

Ohnishi, Yoshihiro; Sato, Takao; Yamamoto, Toru

44

Covariance Matrix Adapted Evolution Strategy Based Design of Mixed H2/H ? PID Controller  

Science.gov (United States)

This paper discusses the application of the covariance matrix adapted evolution strategy (CMAES) technique to the design of the mixed H2/H ? PID controller. The optimal robust PID controller is designed by minimizing the weighted sum of integral squared error (ISE) and balanced robust performance criterion involving robust stability and disturbance attenuation performance subjected to robust stability and disturbance attenuation constraints. In CMAES algorithm, these constraints are effectively handled by penalty parameter-less scheme. In order to test the performance of CMAES algorithm, MIMO distillation column model is considered. For the purpose of comparison, reported intelligent genetic algorithm (IGA) method is used. The statistical performances of combined ISE and balanced robust performance criterion in ten independent simulation runs show that a performance of CMAES is better than IGA method. Robustness test conducted on the system also shows that the robust performance of CMAES designed controller is better than IGA based controller under model uncertainty and external disturbances.

Willjuice Iruthayarajan, M.; Baskar, S.

45

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

46

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)

2004-01-01

47

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

Digital Repository Infrastructure Vision for European Research (DRIVER)

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...

2013-01-01

48

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

49

A design of LED adaptive dimming lighting system based on incremental PID controller  

Science.gov (United States)

As a new generation energy-saving lighting source, LED is applied widely in various technology and industry fields. The requirement of its adaptive lighting technology is more and more rigorous, especially in the automatic on-line detecting system. In this paper, a closed loop feedback LED adaptive dimming lighting system based on incremental PID controller is designed, which consists of MEGA16 chip as a Micro-controller Unit (MCU), the ambient light sensor BH1750 chip with Inter-Integrated Circuit (I2C), and constant-current driving circuit. A given value of light intensity required for the on-line detecting environment need to be saved to the register of MCU. The optical intensity, detected by BH1750 chip in real time, is converted to digital signal by AD converter of the BH1750 chip, and then transmitted to MEGA16 chip through I2C serial bus. Since the variation law of light intensity in the on-line detecting environment is usually not easy to be established, incremental Proportional-Integral-Differential (PID) algorithm is applied in this system. Control variable obtained by the incremental PID determines duty cycle of Pulse-Width Modulation (PWM). Consequently, LED's forward current is adjusted by PWM, and the luminous intensity of the detection environment is stabilized by self-adaptation. The coefficients of incremental PID are obtained respectively after experiments. Compared with the traditional LED dimming system, it has advantages of anti-interference, simple construction, fast response, and high stability by the use of incremental PID algorithm and BH1750 chip with I2C serial bus. Therefore, it is suitable for the adaptive on-line detecting applications.

He, Xiangyan; Xiao, Zexin; He, Shaojia

2010-11-01

50

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

51

Dynamic PID loop control  

CERN Multimedia

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

52

CONSTRUCTION OF TEST PLATFORM FOR EXPERIMENTAL DESIGN OF PID CONTROLLERS WITH MATLAB  

Digital Repository Infrastructure Vision for European Research (DRIVER)

Diploma work is based on the implementation of process simulator realized by Matlab software package, which would replace the real process up to 3rd order dynamics, implemented in PLC controller and connected with PC by AD/DA card. Theoretical part of the diploma involves experimental procedures of PID parameter design by Ziegler-Nichols recommendations on the real object, which can be replaced by adequate simulation model. Also all the hardware and software used for the successful realizatio...

2009-01-01

53

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)

2010-05-01

54

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

Digital Repository Infrastructure Vision for European Research (DRIVER)

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 param...

2013-01-01

55

Design and Implementation of a Neural Control System and Performance Characterization with PID Controller for Water Level Control  

Directory of Open Access Journals (Sweden)

Full Text Available The objective of this thesis is to investigate and find a solution by designing the intelligentcontroller for controlling water level system, such as neural network. The controller also can bespecifically run under the circumstance of system disturbances. To achieve these objectives, a prototypeof water level control system has been built and implementations of both PID and neural network controlalgorithms are performed. In PID control, Ziegler Nichols tuning method is used to control the system.In neural network control, the approach of Model Reference Adaptive Neural Network (ANN Controlbased on the back propagation algorithm is applied on training the system. Both control algorithms aredeveloped to embed into a standalone DSP-based micro-controller and their performances arecompared.

Md. Selim Hasan

2011-05-01

56

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

2002-02-20

57

Multiobjective Optimization Design of a Fractional Order PID Controller for a Gun Control System  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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...

2013-01-01

58

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

Directory of Open Access Journals (Sweden)

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

59

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

60

Application of Adaptive Fuzzy PID Leveling Controller  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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 hav...

Ke Zhang; Jingxian Qin; Jia Sun; Shizhong Chen; Yuhou Wu

2013-01-01

 
 
 
 
61

PID controller design for output PDFs of stochastic systems using linear matrix inequalities.  

Science.gov (United States)

This paper presents a pseudo proportional-integral-derivative (PID) tracking control strategy for general non-Gaussian stochastic systems based on a linear B-spline model for the output probability density functions (PDFs). The objective is to control the conditional PDFs of the system output to follow a given target function. Different from existing methods, the control structure (i.e., the PID) is imposed before the output PDF controller design. Following the linear B-spline approximation on the measured output PDFs, the concerned problem is transferred into the tracking of given weights which correspond to the desired PDF. For systems with or without model uncertainties, it is shown that the solvability can be casted into a group of matrix inequalities. Furthermore, an improved controller design procedure based on the convex optimization is proposed which can guarantee the required tracking convergence with an enhanced robustness. Simulations are given to demonstrate the efficiency of the proposed approach and encouraging results have been obtained. PMID:15719934

Guo, Lei; Wang, Hong

2005-02-01

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

Systematic approach for PID controller design for pitch-regulated, variable-speed wind turbines  

Energy Technology Data Exchange (ETDEWEB)

Variable-speed, horizontal axis wind turbines use blade-pitch control to meet specified objectives for three regions of operation. This paper focuses on controller design for the constant power production regime. A simple, rigid, non-linear turbine model was used to systematically perform trade-off studies between two performance metrics. Minimization of both the deviation of the rotor speed from the desired speed and the motion of the actuator is desired. The robust nature of the proportional-integral-derivative (PID) controller is illustrated, and optimal operating conditions are determined. Because numerous simulation runs may be completed in a short time, the relationship of the two opposing metrics is easily visualized. 2 refs., 9 figs.

Hand, M.M. [National Renewable Energy Lab., Golden, CO (United States); Balas, M.J. [Univ. of Colorado, Boulder, CO (United States). Dept. of Aerospace Engineering Sciences

1997-11-01

64

Design and Robustness Analysis of a PID Based Sliding Mode Controller for a dc-dc Converter  

Directory of Open Access Journals (Sweden)

Full Text Available This study deals with the design and analysis of a dc-dc converter operating in continuous conduction mode with Proportional-Integral-Derivative control and PID based Sliding Mode Control (SMC. A small signal model is developed using Switching Flow Graph (SFG from which the control coefficients for the PID controller is selected. PID based SMC uses a control law which constrains the weighted sum of the voltage error, its derivatives and the integral of the voltage error to zero. The equivalent control technique is used in its design which makes the converter more suitable for fixed frequency operation. Sensitivity of these controllers to supply voltage disturbances and load disturbances is studied and results are presented.

D.M. Mary Synthia Regis Prabha

2012-02-01

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 FPGA-based All Digital PID Controller for Dynamic Systems  

Directory of Open Access Journals (Sweden)

Full Text Available In this paper implementation of All digital PID controller using Field Programmable Gate array (FPGA ispresented. Nowadays embedded control applications requires low power and fast acting PID controllers with a closed loop performance using less resources, resulting in cost reduction. In digital PID controller error signal is generated by using comparator which is analog in nature. By using ADC it is converted in to digital. Digital output of FPGA is converted in to analog signal to drive any system using DAC, but potential output ripple in the baseline system due to quantization and other related errors. There is no need to use ADC or DAC in ADPID. The controller algorithm is synthesized, simulated using Xilinx Spartan3e XC3S100E board with XilinxISE 10.1i as a tool.

VIPUL B. PATEL

2013-02-01

67

Designing an Energy Storage System Fuzzy PID Controller for Microgrid Islanded Operation  

Directory of Open Access Journals (Sweden)

Full Text Available Recently, interest in microgrids, which are composed of distributed generation (DG, distributed storage (DS, and loads, has been growing as a potentially effective clean energy system to mitigate against climate change. The microgrid is operated in the grid-connected mode and the islanded mode according to the conditions of the upstream power grid. The role of the energy storage system (ESS is especially important to maintain constant the frequency and voltage of an islanded microgrid. For this reason, various approaches for ESS control have been put forth. In this paper, a fuzzy PID controller is proposed to improve the frequency control performance of the ESS. This fuzzy PID controller consists of a fuzzy logic controller and a conventional PI controller, connected in series. The fuzzy logic controller has two input signals, and then the output signal of the fuzzy logic controller is the input signal of the conventional PI controller. For comparison of control performance, gains of each PI controller and fuzzy PID controller are tuned by the particle swam optimization (PSO algorithm. In the simulation study, the control performance of the fuzzy PID was also tested under various operating conditions using the PSCAD/EMTDC simulation platform.

Jin-Hong Jeon

2011-09-01

68

Optimal PID Controller Design Based on PSO-RBFNN for Wind Turbine Systems  

Directory of Open Access Journals (Sweden)

Full Text Available A strategy was proposed to determine the optimal operating point for the proportional-integral-derivative (PID controller of a wind turbine, and identify the stability regions in the parameter space. The proposed approach combined particle swarm optimization (PSO and radial basis function neural network (RBFNN algorithms. These intelligent algorithms are artificial learning mechanisms that can determine the optimal operating points, and were used to generate the function representing the most favorable operating  parameters from each parameter of  for the stability region of the PID controller. A graphical method was used to determine the 2D or 3D vision boundaries of the PID-type controller space in closed-loop wind turbine systems. The proposed techniques were demonstrated using simulations of a drive train model without time delay and a pitch control model with time delay. Finally, the 3D stability boundaries were determined the proposed graphical approach with and without time delay systems.

Jau-Woei Perng

2014-01-01

69

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

70

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

International Nuclear Information System (INIS)

Since the first application of fuzzy logic in the field of control engineering, it has been extensively employed in controlling a wide range of applications. The human knowledge on controlling complex and non-linear processes can be incorporated into a controller in the form of linguistic terms. However, with the lack of analytical design study it is becoming more difficult to auto-tune controller parameters. Fuzzy logic controller has several parameters that can be adjusted, such as: membership functions, rule-base and scaling gains. Furthermore, it is not always easy to find the relation between the type of membership functions or rule-base and the controller performance. This study proposes a new systematic auto-tuning algorithm to fine tune fuzzy logic controller gains. A fuzzy PID controller is proposed and applied to several second order systems. The relationship between the closed-loop response and the controller parameters is analysed to devise an auto-tuning method. The results show that the proposed method is highly effective and produces zero overshoot with enhanced transient response. In addition, the robustness of the controller is investigated in the case of parameter changes and the results show a satisfactory performance.

2012-05-28

71

Fuzzy, pole-placement and PID controller design for high performance drives  

Energy Technology Data Exchange (ETDEWEB)

The application of various methods for the tuning of controllers employed in high-dynamic performance drives is examined. These include conventional PID, Ziegler-Nichols tuned PID, pole-placement-based self-tuned, performance index tuned, fuzzified, fuzzy logic-based and fuzzy-neural controllers. Experimental results are shown for a fully digital DSP-based VSI-fed induction motor drive utilizing space vector modulation. It is shown that for real-time implementation in an ac drive conventional fuzzy controllers offer great potential. 11 refs, 5 figs, 1 tab

Vas, P.; Stronach, A.F.; Neuroth, M. [Aberdeen Univ. (United Kingdom). Dept. of Engineering

1995-12-31

72

Design and Implementation of Fuzzy Position Control System for Tracking Applications and Performance Comparison with Conventional PID  

Digital Repository Infrastructure Vision for European Research (DRIVER)

This paper was written to demonstrate importance of a fuzzy logic controller in act over conventional methods with the help of an experimental model. Also, an efficient simulation model for fuzzy logic controlled DC motor drives using Matlab/Simulink is presented. The design and real-time implementation on a microcontroller presented. The scope of this paper is to apply direct digital control technique in position control system. Two types of controller namely PID and fuzzy logic controller w...

Nader Jamali Soufi Amlashi

2012-01-01

73

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

74

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

Digital Repository Infrastructure Vision for European Research (DRIVER)

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-parameter...

2011-01-01

75

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

Digital Repository Infrastructure Vision for European Research (DRIVER)

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 ...

Mohammed Obaid Ali; Koh, S. P.; Chong, K. H.; Asmaa Salih Hamoodi

2011-01-01

76

Back stepping-Based-PID-Controller Designed for an Artificial Pancreas model  

Digital Repository Infrastructure Vision for European Research (DRIVER)

Artificial pancreas is simulated to handle Type I diabetic patients under intensive care by automatically controlling the insulin infusion rate. A Backstepping technique is used to apply the effect of PID controller to blood glucose level since there is no direct relation between insulin infusion (the manipulated variable) and glucose level in Bergman?s system model subjected to an oral glucose tolerance test by applying a meal translated into a disturbance. Backstepping technique is usu...

ShaimaMahmou Mahdi; Mina Qais Kadhum; Mohammad Ridha, Taghreed M.

2011-01-01

77

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

Digital Repository Infrastructure Vision for European Research (DRIVER)

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 ...

Yuan-Jay Wang

2013-01-01

78

Robust controller design based on the set of all stabilising PID-controllers  

Digital Repository Infrastructure Vision for European Research (DRIVER)

Die vorliegende Arbeit stellt ein neuartiges Entwurfsverfahren für PID-Regler in Theorie und Praxis vor, das die Einschränkungen bestehender Einstellverfahren zum großen Teil vermeidet. Die Arbeit wendet sich sowohl an Experten der Regelungs- und Systemtheorie als auch an Anwender von PID-Regelungen in allen Ingenieurdisziplinen, die das frei verfügbare Software-Werkzeuges PIDrobust (auf Basis von MATLAB) für den Reglerentwurf in der Praxis verwenden können. In Bezug auf wichtige Einste...

2009-01-01

79

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

2008-02-01

80

Experimental results on the design for the APS PID global orbit control system  

International Nuclear Information System (INIS)

The Advanced Photon Source third generation synchrotrons light source needs a stabilized particle beam position to produce high brightness and low emittance radiation. Global orbit correction control is introduced and is utilized to satisfy the demanding needs of the accelerator. This paper presents the experimental results for determining an effective and optimal controller to meet the global orbit correction requirements. These requirements include frequency/time domain demands consisting of vibrational noise attenuation, limiting of controller gains for stability and improving the system time response. Experiments were conducted with a digital signal processor implementing various PID sets to make comparisons between simulations and experiments. Measurements at these PID sets supported the results of software simulation

1995-11-03

 
 
 
 
81

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

Digital Repository Infrastructure Vision for European Research (DRIVER)

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 condi...

2012-01-01

82

Application of Proposed Improved Relay Tuning for Design of Optimum PID Control of SOPTD Model  

Directory of Open Access Journals (Sweden)

Full Text Available The coupled tank liquid level control system approximated by the second order plus time delay (SOPTD model was considered and the proposed improved relay tuning method was applied to calculate the corrected ultimate gain (Ku. It was found that the error in calculation of ultimate gain by proposed methods has been reduced considerably than that of conventional method. The corrected Ku was used to estimate optimum PID parameters by Ziegler Nichols method. The closed loop response was obtained using optimum values of PID parameters and compared with that of conventional method. It was found that the Integral Time Absolute Error (ITAE has been decreased and robustness has been increased by proposed method I & II as compared to that of conventional method. Hence the proposed improved relay tuning method gives better performance

S.A. Misal

2012-10-01

83

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

84

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

85

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

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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

86

Back stepping-Based-PID-Controller Designed for an Artificial Pancreas model  

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Full Text Available Artificial pancreas is simulated to handle Type I diabetic patients under intensive care by automatically controlling the insulin infusion rate. A Backstepping technique is used to apply the effect of PID controller to blood glucose level since there is no direct relation between insulin infusion (the manipulated variable and glucose level in Bergman?s system model subjected to an oral glucose tolerance test by applying a meal translated into a disturbance. Backstepping technique is usually recommended to stabilize and control the states of Bergman's class of nonlinear systems. The results showed a very satisfactory behavior of glucose deviation to a sudden rise represented by the meal that increase the blood glucose

ShaimaMahmou Mahdi

2011-01-01

87

PID Controller Tuning Using Bode's Integrals  

Digital Repository Infrastructure Vision for European Research (DRIVER)

A new method for PID controller tuning based on Bode's integrals is proposed. It is shown that the derivatives of amplitude and phase of a plant model with respect to frequency can be approximated by Bode's integrals without any model of the plant. This information can be used to design a PID controller for slope adjustment of the Nyquist diagram and improve the closed-loop performance. Besides, the derivatives can be also employed to estimate the gradient and the Hessian of a frequency cri...

2003-01-01

88

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.

2009-10-15

89

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

90

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...

2013-01-01

91

Poultry House Temperature Control Using Fuzzy-PID Controller  

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Full Text Available Temperature control of poultry house within thermal neutral zone of poultry birds is essential in order to reduce their mortality and increase production. The most advanced method to control the highly complex and nonlinear behaviour of the poultry house temperature, is fuzzy logic. On the other hand, PID controllers are used in most of poultry house due to its functional and structural simplicity. This paper presents a method of controlling the poultry house temperature by the combined action of both Fuzzy and PID controllers. In the design, fuzzy controller uses the structure of two inputs and three outputs. Deviation e and deviation rate ? are the inputs of the system. These are translated into a fuzzy form, fuzzy processed according to IF…THEN rules to arrive at a single outcome value and then defuzzified to get accurate values of which are used to auto-tune PID controller to control the poultry house temperature. The performances of the Fuzzy-PID based poultry house temperature control scheme during hot weather are compared with the classical PID controller. The results show that the Fuzzy-PID scheme is able to control the poultry house temperature more effectively in terms of both the steady-state error and the settling time than that of PID controller.

Aborisade David O

2014-05-01

92

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

1995-11-01

93

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

2007-01-30

94

PID Control Effectiveness for Surface Reactor Concepts  

Science.gov (United States)

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.

Dixon, David D.; Marsh, Christopher L.; Poston, David I.

2007-01-01

95

Robust and Gain-Scheduled PID Controller Design for Condensing Boilers by Linear Programming  

Digital Repository Infrastructure Vision for European Research (DRIVER)

This paper addresses the water temperature control in condensing domestic boilers. The main challenge of this process under the controller design perspective is the fact that the dynamics of condensing boilers are strongly affected by the demanded water flow rate. Two approaches are presented in this paper. First, a robust PI controller is designed that stabilizes and achieves good performance for closed-loop system for a wide range of the water flow rate. Then, it is shown that if the water ...

2012-01-01

96

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

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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

97

PID Fuzzy Logic Controller System for DC Motor Speed Control  

Directory of Open Access Journals (Sweden)

Full Text Available A good controller system must have resilience to disturbance and must be able to response quickly and accurately. Problem usually appears when PID controller system was built sensitively hence the system’s respon to the disturbance will yield big overshot/undershot then the possibility of oscillation to be happened is excelsior. When the controller system was built insensitively, the overshot/undershot will be small but the recovery time will be longer. Hybrid controller system could overcome those problems by combining PID control system with fuzzy logic. The main control of this system is PID controller while the fuzzy logic acts to reduce an overshot/undershot and a recovery time. The fuzzy logic controller is designed with two input error and delta error and one output of the motor speed. The output of fuzzy logic controller should be only half of the PID controller for limiting entirely fuzzy output. This hybrid system design has a better respon time controller system than PID controller without fuzzy logic.

H. Samsul Bachri M.

2004-04-01

98

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

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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

99

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

100

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

 
 
 
 
101

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)

2012-01-01

102

Design and tuning of standard additive model based fuzzy PID controllers for multivariable process systems.  

Science.gov (United States)

This paper describes a design and two-level tuning method for fuzzy proportional-integral derivative (FPID) controllers for a multivariable process where the fuzzy inference uses the inference of standard additive model. The proposed method can be used for any n x n multi-input-multi-output process and guarantees closed-loop stability. In the two-level tuning scheme, the tuning follows two steps: low-level tuning followed by high-level tuning. The low-level tuning adjusts apparent linear gains, whereas the high-level tuning changes the nonlinearity in the normalized fuzzy output. In this paper, two types of FPID configurations are considered, and their performances are evaluated by using a real-time multizone temperature control problem having a 3 x 3 process system. PMID:18558531

Harinath, Eranda; Mann, George K I

2008-06-01

103

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

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Full Text Available This paper emphasizes on a method for designing digital PID controller based on Field Programmable Gate Array (FPGA device for regulating blood glucose level of type-I diabetic patients. The controller is tuned using Bergman Minimal model as a diabetic patient model in MATLAB and Simulink environment. The PID parameters are tuned using a genetic algorithm (GA. Because the speed of control systems has influence on their performance and stability, Field Programmable Gate Array (FPGA device is considered. A Simulink to FPGA flow is applied to the structure of PID controller with Xilinx blocks in Simulink. The results of blood glucose of two diabetic patient models using different quantization in bits are simulated. The results show that unsuitable number of bits cause hypoglycemia and increasing the peak of blood glucose in diabetic patients. System Generator and Integrated Software Environment (ISE are used for creating Bitstream file that can be downloaded into FPGA device. The results show that implementation of PID controller on FPGA using System Generator is compact and high speed and causes the designer can evaluate and implement different designs simply.

Arezou Geramipour

2013-04-01

104

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.

2009-06-01

105

Research on fuzzy PID control to electronic speed regulator  

Science.gov (United States)

As an important part of diesel engine, the speed regulator plays an important role in stabilizing speed and improving engine's performance. Because there are so many model parameters of diesel-engine considered in traditional PID control and these parameters present non-linear characteristic.The method to adjust engine speed using traditional PID is not considered as a best way. Especially for the diesel-engine generator set. In this paper, the Fuzzy PID control strategy is proposed. Some problems about its utilization in electronic speed regulator are discussed. A mathematical model of electric control system for diesel-engine generator set is established and the way of the PID parameters in the model to affect the function of system is analyzed. And then it is proposed the differential coefficient must be applied in control design for reducing dynamic deviation of system and adjusting time. Based on the control theory, a study combined control with PID calculation together for turning fuzzy PID parameter is implemented. And also a simulation experiment about electronic speed regulator system was conducted using Matlab/Simulink and the Fuzzy-Toolbox. Compared with the traditional PID Algorithm, the simulated results presented obvious improvements in the instantaneous speed governing rate and steady state speed governing rate of diesel-engine generator set when the fuzzy logic control strategy used.

Xu, Xiao-gang; Chen, Xue-hui; Zheng, Sheng-guo

2007-12-01

106

A Practical Application of IMC-PID Controller in Unmanned Vehicle  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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...

2013-01-01

107

Multiple Model Adaptive PID Temperature Control  

Science.gov (United States)

Multiple model adaptive PID strategies are considered for a diversified small-quantity production issue of a temperature control system. The dynamics of the plant are different for each system change and also time varying. The system must also satisfy the mechanical conditions. This paper especially focuses on system changes for an extruder control system to verify the proposed method. For a wide range operation, the partition of plant parameters, design of the controller bank and model bank, and the control algorithm itself for the extruder control system were developed. The computer simulation and experiment have shown that MMAC can be successfully applied to the extruder despite uncertainty in the time delays, time constant, and gains.

Hamane, Hiroto; Yokoyama, Shuich; Onogaki, Hitoshi

108

?????PID????????????? The High Precision Temperature Control System Based on the Incremental PID Algorithm  

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Full Text Available ????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????PID???????????????±0.1??????????????????????????10??Temperature sensors are widely used in industrial and agricultural production, scientific research and other areas of life, and play an important role in the temperature control system. The high precision temperature control sys-tem has a very important place in measurement and control instrument development and deep processing industry. So, it has very strong application value and practical significance to design and develop a high precision temperature control system. In this paper, based on the hardware design of temperature control system, through incremental PID algorithm, a design of a temperature control in the range of ±0.1°C high precision temperature control system is completed, when compared with the existing similar temperature control systems, precision increases nearly 10 times.

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2013-04-01

109

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...

2013-01-01

110

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

Digital Repository Infrastructure Vision for European Research (DRIVER)

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...

Pan Zhao; Jiajia Chen; Yan Song; Xiang Tao; Tiejuan Xu; Tao Mei

2012-01-01

111

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.

Xu, Chang; Tian, Qiangqiang

2013-01-01

112

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

113

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...

2012-01-01

114

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

Digital Repository Infrastructure Vision for European Research (DRIVER)

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 ...

2012-01-01

115

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.

116

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...

2013-01-01

117

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

118

A Novel Evolutionary Tuning Method for Fractional Order PID Controller  

Digital Repository Infrastructure Vision for European Research (DRIVER)

PID controller is a well known controller which is used in most control applications. Around 90% control applications use PID controller as the controlling element. The tuning of PID controller is mostly done using Zeigler-Nichols tuning method. But there are some inherent drawbacks of Ziegler-Nichols based tuning. For the optimal tuning of controller, the tuned values have to be changed using computer simulation to meet the process needs. In PID controller the derivative and the integral or...

2011-01-01

119

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

120

A toolbox for robust PID controller tuning using convex optimization  

Digital Repository Infrastructure Vision for European Research (DRIVER)

A robust PID controller design toolbox for Matlab is presented in this paper. The design is based on linearizing or convexifying the conventional non-convex constraints on the classical robustness margins or H? constraints. Then the existing optimization solvers can be used to compute the controller parameters. The software can be used in a wide range of controller design problems, including multi-model systems and gain-scheduled controllers. The models can be parametric or non-parametric w...

2012-01-01

 
 
 
 
121

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

122

Application of Improved Genetic Algorithm in PID Controller Parameters Optimization  

Directory of Open Access Journals (Sweden)

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

123

The Research on Fuzzy PID Control of the Permanent Magnet Linear Synchronous Motor  

Science.gov (United States)

Based on analyzing mathematical mode of the permanent magnet linear synchronous motor (PMLSM), three-closed-loop control system is presented in this paper. Combined the advantages of traditional PID control algorithm and fuzzy control algorithm, according to the characteristics of linear motor and the possible factors of uncertainty, a set of adaptive fuzzy PID control system is designed for the speed loop of the proposed control system, moreover, fuzzy inference rules is established to realize the Fuzzy PID controlling of the speed loop. In the end, the simulation models of the motor and the whole control system are built on Matlab/Simulink platform to compare and analyze the fuzzy PID control and conventional PID control. Simulation results show that the designed fuzzy PID speed loop controller can significantly improve the response performance of linear motor.

Wu, Ying; Jiang, Hang; Zou, Min

124

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

Digital Repository Infrastructure Vision for European Research (DRIVER)

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 a...

2011-01-01

125

A Novel Three-phase Rectifier Based on Improved PID Control Algorithm  

Digital Repository Infrastructure Vision for European Research (DRIVER)

The three-phase rectifier based on traditional PID control algorithm can improve its harmonic effect, and increase its power factor, but it can’t overcome the problems of selection difficulty of the PID parameters and can realize the online self-turning function of the PID parameters. In order to deal with the questions, the three phase rectifier based on neural network PID control algorithm is designed in this paper. In this paper, the PID parameters of the novel rectifier can realize t...

2013-01-01

126

A frequency domain based self-tuning PID controller  

Digital Repository Infrastructure Vision for European Research (DRIVER)

Traditionally, both explicit and implicit self-tuning controllers have employed time domain techniques for the identification and tracking of plant and controller parameters. The use of the frequency domain provides concise information on the dynamics of the process which has led to its wide acceptance as a domain for controller design. This paper demonstrates a method employing recursive, on-line measurement of the process frequency response, with a straightforward calculation of PID control...

1994-01-01

127

ROBUST INTERNAL MODEL CONTROL STRATEGY BASED PID CONTROLLER FOR BLDCM  

Directory of Open Access Journals (Sweden)

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

128

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...

2010-01-01

129

Tuning of PID Controllers based on simplified single parameter optimization  

Digital Repository Infrastructure Vision for European Research (DRIVER)

A simple method to design PID controllers in the frequency domain based on a simplified constrained optimiza- tion is proposed. The method is based on the use of a single tuning parameter, defined as the quotient between the final crossover frequency and the zero of the controller. The tuning procedure is based on the maximization of the controller gain subject to an equality constraint in the phase margin and an inequality constraint in the gain margin. The main advantage of the proposed met...

2010-01-01

130

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

1997-04-14

131

Design of a Hierarchical System Using PID Control with an Intelligent Sequence Controller and Its Application to Ethylene Plants in Unsteady State  

Science.gov (United States)

A hierarchical system is developed that consists of an intelligent sequence controller and a PID controller, where the intelligent sequence controller supervises the PID controller. In other words, the intelligent sequence controller plays the role of a well-experienced operator and mimics the operator's procedures. In an ethylene plant, the decoking operation of the cracking furnace makes the ethylene plant highly unstable. We apply this hierarchical system to the decoking process in an ethylene plant in order to demonstrate its effectiveness. As a result, the number of operational interventions in the decoking process is reduced by 95%, and the levels of the towers and the overhead temperatures of the towers can be satisfactorily stabilized during the decoking process.

Tani, Tetsuji; Takeuchi, Takeshi

132

Load Frequency Control in Interconnected Power System Using Multi-Objective PID Controller  

Digital Repository Infrastructure Vision for European Research (DRIVER)

In this study, designing of multi-objective (MO) proportional, integral and derivative (PID) controller for load frequency control (LFC) based on adaptive weighted particle swarm optimization (AWPSO) has been proposed. Unlike single objective optimizations methods, MO optimization can find different solutions in a single run and we can select appropriate and desirable solution based on valuation to the objects. In this study for PID controller design, overshoot/undershoot and settling t...

2008-01-01

133

Tuning Of PID Controller Of Inverted Pendulum Using Genetic Algorithm  

Directory of Open Access Journals (Sweden)

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

134

A Novel Three-phase Rectifier Based on Improved PID Control Algorithm  

Directory of Open Access Journals (Sweden)

Full Text Available The three-phase rectifier based on traditional PID control algorithm can improve its harmonic effect, and increase its power factor, but it can’t overcome the problems of selection difficulty of the PID parameters and can realize the online self-turning function of the PID parameters. In order to deal with the questions, the three phase rectifier based on neural network PID control algorithm is designed in this paper. In this paper, the PID parameters of the novel rectifier can realize the function of the online self-turning, which increases the design efficiency and the control accuracy. The simulation results show that the three phase rectifier based on improved PID control algorithm can decrease the harmonic pollution and increase its power factor.

Zhang Kai

2013-01-01

135

MIMO PID Controller Design Based on Integral-Type Optimal Servomechanism and Its Extension to Model-Following-Type  

Science.gov (United States)

This paper presents a design method of an MIMO integral preceded by proportional-derivative (I-PD) controller based on an integral-type optimal servomechanism. The proposed method consists of two steps. First, a given plant is represented in a specific state-space form, and then an integral-type optimal servo controller is designed. Although the resultant controller does not always become a typical I-PD one, when the order of a given MIMO plant is equal to or less than twice the number of the outputs, the resultant control law is equivalent to an I-PD one. Moreover, the proposed I-PD controller design can be extended to a model-following type by adding a reference model and a feedforward compensator for a desirable output response. Controller design examples and numerical simulation studies are carried out in order to demonstrate that the proposed design method has sufficient effectiveness.

Kondo, Hiroyuki; Ochi, Yoshimasa

136

MULTI-OBJECTIVE PID CONTROLLER BASED ON ADAPTIVE WEIGHTED PSO WITH APPLICATION TO STEAM TEMPERATURE CONTROL IN BOILERS  

Digital Repository Infrastructure Vision for European Research (DRIVER)

PID controller is widely used for main steam temperature control of boiler unit in thermal power plant. To avoid the drawback of current PID design methods, this paper presents a new design method for multi-objective PID controller to synthetically consider system requirement in reliability and robustness. Adaptive weighted PSO (AWPSO) technique is applied to the parameter optimization design. The optimization problem considered is highly nonlinear, complex, with multiple objectives and const...

2010-01-01

137

Load Frequency Control in Interconnected Power System Using Multi-Objective PID Controller  

Directory of Open Access Journals (Sweden)

Full Text Available In this study, designing of multi-objective (MO proportional, integral and derivative (PID controller for load frequency control (LFC based on adaptive weighted particle swarm optimization (AWPSO has been proposed. Unlike single objective optimizations methods, MO optimization can find different solutions in a single run and we can select appropriate and desirable solution based on valuation to the objects. In this study for PID controller design, overshoot/undershoot and settling time are used as objective functions for MO optimization in LFC problem. So that various solutions with different overshoot/undershoot and settling time obtained. From these different PID parameters, one can select a single solution based on valuation to objects and as well as system constraints, reliability etc. The proposed method is used for designing of PID parameters for two area interconnected power system. From the simulation results, efficiency of proposed controller design can be seen.

K. Sabahi

2008-01-01

138

Closed-Loop Anesthesia in Children using a PID Controller: A Pilot Study  

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The first study with a PID controller based automatic drug delivery system for propofol anesthesia in children is presented. It is shown that a robustly tuned PID controller is capable of delivering safe and adequate anesthesia. The design process of the control system is reviewed. Results are discussed and compared to those of two previous studies in adults.

2012-01-01

139

Research on CNC Machine Tool Fuzzy Immune PID Position Controller  

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Full Text Available CNC machine tool position controller connects control system with actuating mechanism and often adopts traditional PID control technology. But the traditional PID technology is hard to achieve rapid adjustment and lesser overshoot at the same time. Consequently, the CNC machine tool fuzzy immune PID position controller based on immunity feedback control theory is developed in the study. The experiment results show that the developed controller can achieve shorter adjust time, better rapidity and higher steady-state precision in contrast to traditional PID position controller.

Guoyong Zhao

2013-01-01

140

Modeling Of Pid Controller Based Smps Using Fpga  

Digital Repository Infrastructure Vision for European Research (DRIVER)

This paper presents a proportional integral derivative (PID) controller model for buck converter topology of switch mode power supply (SMPS). PID controller in terms of the settling time while exhibiting a greater degree of robustness regarding disturbance rejection represented by severe changes in static and dynamic loads. The controller is used to change the duty cycle of the converter and thereby, the voltage is regulated. The buck converter, P, PI and PID controller are modeled and are ev...

2013-01-01

 
 
 
 
141

PID Control in the Third Millennium Lessons Learned and New Approaches  

CERN Document Server

The early 21st century has seen a renewed interest in research in the widely-adopted proportional-integral-derivative (PID) controllers. PID Control in the Third Millennium provides an overview of the advances made as a result. Featuring: ·        new approaches for controller tuning; ·        control structures and configurations for more efficient control; ·        practical issues in PID implementation; and ·        non-standard approaches to PID including fractional-order, event-based, nonlinear, data-driven and predictive control; the nearly twenty chapters provide a state-of-the-art resumé of PID controller theory, design and realization. Each chapter has specialist authorship and ideas clearly characterized from both academic and industrial viewpoints. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series o...

Visioli, Antonio

2012-01-01

142

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.

143

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 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.

2012-02-01

144

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

145

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

Directory of Open Access Journals (Sweden)

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

146

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

Digital Repository Infrastructure Vision for European Research (DRIVER)

PID controller is the most widely used controller in industry for control applications due to its simple structure and easy parameter adjusting.But increase in complexity of control systems has introduced many modified PID controllers.The recent advancement in fractional order calculus has introduced fractional order PID controller and it has recieved a great attention for researchers.Fractional order PID (FOPID) controller is an advancement of conventional PID controller in which the derivat...

2013-01-01

147

Piecewise-linear artificial neural networks for PID controller tuning  

Directory of Open Access Journals (Sweden)

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

148

The Advantages of PID Fuzzy Controllers Over The Conventional Types  

Directory of Open Access Journals (Sweden)

Full Text Available Fuzzy logic controllers (FLC's have the following advantages over the conventional controllers: they are cheaper to develop, they cover a wider range of operating conditions, and they are more readily customizable in natural language terms. A self-organizing fuzzy controller can automatically refine an initial approximate set of fuzzy rules. Application of PI-type fuzzy controller increases the quality factor. In this paper, the voltage raising type-pulse controller is considered. Two types of fuzzy controllers used for the control of boost converter are investigated; the simulation results confirm the above mentioned advantages. In order to prove the dynamic characteristics of the PID fuzzy controller being fast and robust, simulation studies using PSIM program are carried out and compared to the results of the conventional loop gain design method for which MATLAB program is used.

Abdullah I. Al-Odienat

2008-01-01

149

The application of immune genetic algorithm in main steam temperature of PID control of BP network  

Science.gov (United States)

In order to overcome the uncertainties, large delay, large inertia and nonlinear property of the main steam temperature controlled object in the power plant, a neural network intelligent PID control system based on immune genetic algorithm and BP neural network is designed. Using the immune genetic algorithm global search optimization ability and good convergence, optimize the weights of the neural network, meanwhile adjusting PID parameters using BP network. The simulation result shows that the system is superior to conventional PID control system in the control of quality and robustness.

Li, Han; Zhen-yu, Zhang

150

Genetic Algorithm based PID controller for Frequency Regulation Ancillary services  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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...

2010-01-01

151

PID control for chaotic synchronization using particle swarm optimization  

Energy Technology Data Exchange (ETDEWEB)

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.

Chang, W.-D. [Department of Computer and Communication, Shu-Te University, Kaohsiung 824, Taiwan (China)], E-mail: wdchang@mail.stu.edu.tw

2009-01-30

152

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

153

An Adaptive PID Speed Controller for an 8/6 Switched Reluctance Machine  

Digital Repository Infrastructure Vision for European Research (DRIVER)

This paper presents a classical controller with parameters adaptation capability, in an automatic way. This controller is based on a PID where a parameters adaptation algorithm is used and applied to the switched reluctance motor (SRM) speed control. This PID design do not require any kind of adjustment or calibration from the operator. The parameters adaptation algorithm implemented is based on one fuzzy system with a Takagi-Sugeno inference mechanism with some simplifications. These simplif...

2013-01-01

154

FPGA Realization of PID Controller Based on BP Neural Network  

Directory of Open Access Journals (Sweden)

Full Text Available Through coordinately work of input layer module, hidden layer module, output layer module and back propagation calculation module to complete the whole system of the closed-loop calculation, this is a process of FPGA realization of PID controller based on BP neural network. Operation of the entire system with FPGA internal clock coordination is unified coordination, just provide clock and reset signals can automatically tune parameters of PID controller.    

Shanyong Xu

2013-10-01

155

Speed Control of DC Motor Using Extended Kalman FilterBased Fuzzy PID  

Directory of Open Access Journals (Sweden)

Full Text Available In this paper, extended Kalman filter (EKF isused for online optimization of input and output membershipfunctions (MFs of Mamdani fuzzy PID controller. Theproposed controller is employed for controlling the separatelyexcited DC motor. The simulation results show that the fuzzyPID controller with online optimization has better efficiencythan classic PID controller and fuzzy PID controller with fixedmembership functions.

Meysam Shadkam

2013-01-01

156

Main Stream Temperature Control System Based on Smith-PID Scheduling Network Control  

Digital Repository Infrastructure Vision for European Research (DRIVER)

This paper is concerned with the controller design problem for a class of networked main stream temperature control system with long random time delay and packet losses. To compensate the effect of time delay and packet losses, a gain-scheduling based Smith-PID controller is proposed for the considered networked control systems (NCSs). Moreover, to further improve the control performance of NCSs, genetic algorithm is employed to obtain the optimal control parameters for gain-scheduling Smith-...

2011-01-01

157

MULTI-OBJECTIVE PID CONTROLLER BASED ON ADAPTIVE WEIGHTED PSO WITH APPLICATION TO STEAM TEMPERATURE CONTROL IN BOILERS  

Directory of Open Access Journals (Sweden)

Full Text Available PID controller is widely used for main steam temperature control of boiler unit in thermal power plant. To avoid the drawback of current PID design methods, this paper presents a new design method for multi-objective PID controller to synthetically consider system requirement in reliability and robustness. Adaptive weighted PSO (AWPSO technique is applied to the parameter optimization design. The optimization problem considered is highly nonlinear, complex, with multiple objectives and constraints. The simulation results on an actual main steam temperature control system indicate that, the multi-objective PID controller designed by presented method, can improve the dynamic performance of main steam temperature control system, with good robustness ability.

C.Agees Kumar

2010-07-01

158

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

159

Radial Basis Function Neural Network-based PID model for functional electrical stimulation system control.  

Science.gov (United States)

Functional electrical stimulation (FES) has been widely used in the area of neural engineering. It utilizes electrical current to activate nerves innervating extremities affected by paralysis. An effective combination of a traditional PID controller and a neural network, being capable of nonlinear expression and adaptive learning property, supply a more reliable approach to construct FES controller that help the paraplegia complete the action they want. A FES system tuned by Radial Basis Function (RBF) Neural Network-based Proportional-Integral-Derivative (PID) model was designed to control the knee joint according to the desired trajectory through stimulation of lower limbs muscles in this paper. Experiment result shows that the FES system with RBF Neural Network-based PID model get a better performance when tracking the preset trajectory of knee angle comparing with the system adjusted by Ziegler- Nichols tuning PID model. PMID:19964991

Cheng, Longlong; Zhang, Guangju; Wan, Baikun; Hao, Linlin; Qi, Hongzhi; Ming, Dong

2009-01-01

160

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

 
 
 
 
161

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

162

Comparison of PID Controller Tuning Methods with Genetic Algorithm for FOPTD System  

Directory of Open Access Journals (Sweden)

Full Text Available Measurement of Level, Temperature, Pressure and Flow parameters are very vital in all process industries. A combination of a few transducers with a controller, that forms a closed loop system leads to a stable and effective process. This article deals with control of in the process tank and comparative analysis of various PID control techniques and Genetic Algorithm (GA technique. The model for such a Real-time process is identified as First Order Plus Dead Time (FOPTD process and validated. The need for improved performance of the process has led to the development of model based controllers. Well-designed conventional Proportional, Integral and Derivative (PID controllers are the most widely used controller in the chemical process industries because of their simplicity, robustness and successful practical applications. Many tuning methods have been proposed for PID controllers. Many tuning methods have been proposed for obtaining better PID controller parameter settings. The comparison of various tuning methods for First Order Plus Dead Time (FOPTD process are analysed using simulation software. Our purpose in this study is comparison of these tuning methods for single input single output (SISO systems using computer simulation.Also efficiency of various PID controller are investigated for different performance metrics such as Integral Square Error (ISE, Integral Absolute Error (IAE, Integral Time absolute Error (ITAE, and Mean square Error (MSE is presented and simulation is carried out. Work in this paper explores basic concepts, mathematics, and design aspect of PID controller. Comparison between the PID controller and Genetic Algorithm (GA will have been carried out to determine the best controller for the temperature system.

K. Mohamed Hussain

2014-02-01

163

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

164

Evolutionary Computation Techniques Based Optimal PID Controller Tuning  

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Full Text Available The main aim of this paper is to analyse the implementation of two Evolutionary Computation (ECtechniques viz. Genetic Algorithm (GA and Particle Swarm Optimization (PSO for optimal tuning of PID controllers parameters and enumerate their advantages over the conventional tuning methodologies. The two techniques were implemented and analysed on a third order plant model of a DC servomotor with the aim of developing a position controller. The results obtained from GA and PSO algorithms were compared with that obtained from Ziegler Nichols method. It was found that the evolutionary computation techniques outperformed traditional tuning practices of Zeigler-Nichols at tuning of PID controllers.

Sulochana Wadhwani#1 , Veena Verma

2013-06-01

165

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

166

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

167

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

168

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

Digital Repository Infrastructure Vision for European Research (DRIVER)

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...

2013-01-01

169

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

170

Research on the Robustness of an Adaptive PID Control of a Kind of Supersonic Missile  

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Based on the multi-loop design method, the dynamic characteristic of missile system is viewed as a two-loops system, such as inner loop and outer loop. An adaptive PID control strategy is designed for the pitch channel linear model of supersonic missile. The robustness of a double PID controller is analyzed by changing the aerodynamic coefficients. The control law is testified to be stable even the aerodynamic coefficients are changed between 0.7 and 1.7 times of its standard value and the co...

2012-01-01

171

Fuzzy Pid Research on the Temperature Control System of Central Air Conditioning Based on Genetic Algorithms  

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Full Text Available The study designs PID mathematical model and algorithm of the central air conditioning temperature control based on genetic algorithm. In order to test availability of the procedure and algorithm, we use the MATLAB software to do numerical simulation on different algorithms. Through calculation we found that delay time of the PID controller based on genetic algorithm designed in this paper is 92 seconds, less than the other two algorithms. The time which needs to adjust is 302 seconds, less than the other two algorithms. The overshoot is 25% which meets the needs of central air conditioning temperature control system. Finally, through the graphics computing functions of MATLAB we get two-dimensional section images of central air conditioning refrigeration effect. From the image we can see the central air conditioning refrigeration effect of PID algorithm based on genetic algorithm is good. It provides the theoretical reference for the study of air conditioning control system.

Gaojian Li

2013-01-01

172

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

173

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

174

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

175

Adaptive fuzzy PID temperature control system based on single-chip computer for the autoclave  

Science.gov (United States)

The autoclave is one of main preparation equipments of crystal preparation by hydrothermal method. The preparation temperature will seriously influence crystals quality and crystals size at high temperature, how to measure and control precisely the autoclave temperature can be of real significance. The characteristic of hysteresis, nonlinearity and difficulty to acquire the precise mathematical model existing in the temperature control of the autoclave was researched. The general PID controller adopted usually in the autoclave temperature control system is hard to improve temperature control performance. Based on the advantages of fuzzy controller that does not depend on the precise mathematical model and the stabilization of PID controller, single-chip computer integrated fuzzy PID control algorithm is adopted, and the temperature system is designed, the foundational working principle was discussed. The control system includes SCM (AT89C52), temperature sensor, A/D converter circuit and corresponding circuit and interface, can make the autoclave temperature measure and control accurately. The system hardware includes main circuit, thyristor drive circuit, audible and visual alarm circuit, watchdog circuit, clock circuit, keyboard and display circuit so on, which can achieve gathering, analyzing, comparing and controlling the autoclave temperature parameter. The program of control system includes the treatment and collection of temperature data, the dynamic display program, the fuzzy PID control system, the audible and visual alarm program, et al, and the system's main software, which includes initialization, key-press processing, input processing, display, and the fuzzy PID control program was analyzed. The results showed that the fuzzy PID control system makes the adjustment time of temperature decreased and the precision of temperature control improved, the quality and the crystals size of the preparation crystals can achieve the expect experiment results.

Zhang, F.; Wang, J.; Fu, S. L.; He, Z. T.; Li, X. P.

2008-12-01

176

An Event-Based PID Controller With Low Computational Cost  

Digital Repository Infrastructure Vision for European Research (DRIVER)

In this paper, some improvements of event-based PID controllers are proposed. These controllers, contrary to a time-triggered one which calculates the control signal at each sampling time, calculate the new control signal only when the measurement signal \\textit{sufficiently} changes. The contribution of this paper is a low computational cost scheme thanks to a minimum sampling interval condition. Moreover, we propose to reduce much more the error margin during the steady state intervals by a...

Durand, Sylvain; Marchand, Nicolas

2009-01-01

177

Neural Network Based PID Gain Tuning of Chemical Plant Controller  

Science.gov (United States)

In these years, plant control systems are highly automated and applied to many industries. The control performances change with the passage of time, because of the deterioration of plant facilities. This is why human experts tune the control system to improve the total plant performances. In this study, PID control system for the oil refining chemical plant process is treated. In oil refining, there are thousands of the control loops in the plant to keep the product quality at the desired value and to secure the safety of the plant operation. According to the ambiguity of the interference between control loops, it is difficult to estimate the plant dynamical model accurately. Using neuro emulator and recurrent neural networks model (RNN model) for emulation and tuning parameters, PID gain tuning system of chemical plant controller is constructed. Through numerical experiments using actual plant data, effect of the proposed method was ascertained.

Abe, Yoshihiro; Konishi, Masami; Imai, Jun; Hasegawa, Ryusaku; Watanabe, Masamori; Kamijo, Hiroaki

178

An improved PID switching control strategy for type 1 diabetes.  

Science.gov (United States)

In order for an "artificial pancreas" to become a reality for ambulatory use, a practical closed-loop control strategy must be developed and validated. In this paper, an improved PID control strategy for blood glucose control is proposed and critically evaluated in silico using a physiologic model of Hovorka et al. [1]. The key features of the proposed control strategy are: 1) a switching strategy for initiating PID control after a meal and insulin bolus; 2) a novel time-varying setpoint trajectory; 3) noise and derivative filters to reduce sensitivity to sensor noise; and 4) a practical controller tuning strategy. Simulation results demonstrate that proposed control strategy compares favorably to alternatives for realistic conditions that include meal challenges, incorrect carbohydrate meal estimates, changes in insulin sensitivity, and measurement noise. PMID:18334377

Marchetti, Gianni; Barolo, Massimiliano; Jovanovic, Lois; Zisser, Howard; Seborg, Dale E

2008-03-01

179

PID Neural Network Based Speed Control of Asynchronous Motor Using Programmable Logic Controller  

Digital Repository Infrastructure Vision for European Research (DRIVER)

This paper deals with the structure and characteristics of PID Neural Network controller for single input and single output systems. PID Neural Network is a new kind of controller that includes the advantages of artificial neural networks and classic PID controller. Functioning of this controller is based on the update of controller parameters according to the value extracted from system output pursuant to the rules of back propagation algorithm used in artificial neural networks. Paramet...

Maraba, V. A.; Kuzucuoglu, A. E.

2011-01-01

180

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

2007-10-01

 
 
 
 
181

Heat control in HVDC resistive divider by PID and NN controllers  

Energy Technology Data Exchange (ETDEWEB)

In this study, a control system is presented that is devised to increase measurement precision 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. (author)

Yilmaz, S.; Dincer, H. [Kocaeli University, Engineering Faculty, Department of Electronics and Communications Engineering, Veziroglu Campus, 41040 Kocaeli (Turkey); Eksin, I. [Control Engineering Program, Department of Electrical Engineering, Electrical and Electronics Engineering Faculty, Istanbul Technical University, 34469 Istanbul (Turkey); Kalenderli, O. [Electrical Engineering Program, Department of Electrical Engineering, Electrical and Electronics Engineering Faculty, Istanbul Technical University, 34469 Istanbul (Turkey)

2007-10-15

182

TORQUE RIPPLE MINIMIZATION IN SWITCHED RELUCTANCE MOTORS USING PID FUZZY LOGIC CONTROLLER  

Directory of Open Access Journals (Sweden)

Full Text Available The main objective of this paper is to design a system which will have small speed ripple and also produces fast response of switch reluctance motor (SRM for various speeds , magnetic flux and current by means of PID fuzzy logic controller. The speed of motor is get increased by means of reducing the torque value and also by means of ripple content. The SRM will haves a PI fuzzy logic controller and a derivative part. The developed novel PID-like fuzzy logic controller (FLC maintains a constant electromagnetic torque. This study will increase performance of the motor and produce fast response

K. Deepak

2014-04-01

183

A method for closed loop automatic tuning of PID controllers  

Digital Repository Infrastructure Vision for European Research (DRIVER)

A simple method for the automatic tuning of PID controllers in closed loop is proposed. A limit cycle is generated through a nonlinear feedback path from the process output to the controller reference signal. The frequency of this oscillation is above the crossover frequency and below the critical frequency of the loop transfer function. The amplitude and frequency of the oscillation are estimated and the control parameters are adjusted iteratively such that the closed loop transfer function ...

Schei, Tor S.

1992-01-01

184

A PID Sliding Mode Control for Ropeless Elevator Maglev Guiding System  

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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...

Hasan Alipour; Mohammad Bagher Bana Sharifian; Hadi Afsharirad

2012-01-01

185

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)

2013-11-24

186

A modified Adaptive Wavelet PID Control Based on Reinforcement Learning for Wind Energy Conversion System Control  

Directory of Open Access Journals (Sweden)

Full Text Available Nonlinear characteristics of wind turbines and electric generators necessitate complicated and nonlinear control of grid connected Wind Energy Conversion Systems (WECS. This paper proposes a modified self-tuning PID control strategy, using reinforcement learning for WECS control. The controller employs Actor-Critic learning in order to tune PID parameters adaptively. These Actor-Critic learning is a special kind of reinforcement learning that uses a single wavelet neural network to approximate the policy function of the Actor and the value function of the Critic simultaneously. These controllers are used to control a typical WECS in noiseless and noisy condition and results are compared with an adaptive Radial Basis Function (RBF PID control based on reinforcement learning and conventional PID control. Practical emulated results prove the capability and the robustness of the suggested controller versus the other PID controllers to control of the WECS. The ability of presented controller is tested by experimental setup.

REZAZADEH, A.

2010-05-01

187

Further Results on Event-Based PID Controller  

Digital Repository Infrastructure Vision for European Research (DRIVER)

In this paper, some improvements of the simple event-based PID controller presented by K-E Arzen in the 14th World Congress of IFAC (Beijing, P.R. China, 1999) are proposed. This controller, contrary to a time-triggered controller which calculates the control signal at each sampling time, calculates the new control signal only when the measurement signal sufficiently changes. In the original work of Arzen, a safety maximum period is added forcing the control to be recomputed even if the measu...

Durand, Sylvain; Marchand, Nicolas

2009-01-01

188

Sinusoidal rotatory chair system by an auto-tuning fuzzy PID controller  

Energy Technology Data Exchange (ETDEWEB)

This paper presents DC servo motor speed control characteristics by fuzzy logic controller and considers position following control response with controller. A sinusoidal rotatory chair system using an auto tuning fuzzy PID control was designed to evaluate the vestibular function. Then the system is investigated for the effects of change by the fuzziness of fuzzy variable. If this system is supported by a channel, it is considered for application in industry of multi joint robot and precision parallel driving.

Park, H.A. [Kwangju Health Inst. of Science (Korea, Republic of). Dept. of Computer and Information Processing; Cha, I.S. [Dong Shin Univ., Chonnam (Korea, Republic of). Dept. of Electrical and Electronic Engineering; Baek, H.L. [Cho Sun Univ., Kwangju (Korea, Republic of). Dept. of Electrical Engineering

1995-12-31

189

A conformal mapping based fractional order approach for sub-optimal tuning of PID controllers with guaranteed dominant pole placement  

Science.gov (United States)

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?D?) controller have been approximated in this paper vis-à-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?D? controller pushes the open loop zeros of the equivalent PID controller towards greater damping regions which gives a trajectory of the controller zeros and dominant closed loop poles. This trajectory is termed as "M-curve". This phenomena is used to design a two-stage tuning algorithm which reduces the existing PID controller's effort in a significant manner compared to that with a single stage LQR based pole placement method at a desired closed loop damping and frequency.

Saha, Suman; Das, Saptarshi; Das, Shantanu; Gupta, Amitava

2012-09-01

190

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

2008-10-01

191

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

Directory of Open Access Journals (Sweden)

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

192

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

Digital Repository Infrastructure Vision for European Research (DRIVER)

This paper attempts to design the controllers like Adaptive PI, Fuzzy Logic Control (FLC) for the conical tank (Non-linear Process) to maintain the liquid level in tank. The level control becomes quite typical due to the nonlinear shape of tank i.e. the rate of rise of water in the narrow part is high and gets reduced as height increases thus causing non-linearity in the level. The time constant and gain vary as a function of level. Proportional-integral-derivative (PID) controllers are widel...

2013-01-01

193

A method for closed loop automatic tuning of PID controllers  

Directory of Open Access Journals (Sweden)

Full Text Available A simple method for the automatic tuning of PID controllers in closed loop is proposed. A limit cycle is generated through a nonlinear feedback path from the process output to the controller reference signal. The frequency of this oscillation is above the crossover frequency and below the critical frequency of the loop transfer function. The amplitude and frequency of the oscillation are estimated and the control parameters are adjusted iteratively such that the closed loop transfer function from the controller reference to the process output attains a specified amplitude at the oscillation frequency.

Tor S. Schei

1992-07-01

194

Tuning PID controllers for higher-order oscillatory systems with improved performance.  

Science.gov (United States)

In this paper, model based design of PID controllers is proposed for higher-order oscillatory systems. The proposed method has no limitations regarding systems order, time delays and oscillatory behavior. The reduced model is achieved based on third-order modeling and selection of coefficients through the use of frequency responses. The tuning of the PID parameters are obtained from a reduced third-order model; the procedure seems to be simple and effective, and improved performance of the overall system can be achieved. Three simulation examples and one real-time experiment are included to demonstrate the effectiveness and applicability of the proposed method to systems with oscillatory behavior. PMID:19439296

Malwatkar, G M; Sonawane, S H; Waghmare, L M

2009-07-01

195

Implementation of FPGA based PID Controller for DC Motor Speed Control System  

Directory of Open Access Journals (Sweden)

Full Text Available In this paper, the implementation of software module using 'VHDL' for Xilinx FPGA (XC2S30 based PID controller for DC motor speed control system is presented. The tools used for building and testing the software modules are Xilinx ISE 9.1i and ModelSim XE III 6.3c. Before verifying the design on FPGA the complete design is simulated using Modelsim Simulation tool. A test bench is written where, the set speed can be changed for the motor. It is observed that the motor speed gradually changes to the set speed and locks to the set speed

Prashant Kumar# 1 , Ravi Mishra

2013-03-01

196

Multi-objective PID Optimization for Speed Control of an Isolated Steam Turbine using Gentic Algorithm  

Directory of Open Access Journals (Sweden)

Full Text Available This study focuses on multi-objective optimization of the PID controllers for optimal speed control for an isolated steam turbine. In complex operations, optimal tuning plays an imperative role in maintaining the product quality and process safety. This study focuses on the comparison of the optimal PID tuning using Multi-objective Genetic Algorithm (NSGA-II against normal genetic algorithm and Ziegler Nichols methods for the speed control of an isolated steam turbine. Isolated steam turbine not being connected to the grid; hence is usually used in refineries as steam turbine, where a hydraulic governor is used for the speed control. The PID controller for the system has been designed and implemented using MATLAB and SIMULINK and the results of the design methods have been compared, analysed and conclusions indicates that the significant improvement of results have been obtained by the Multi-Objective GA based optimization of PID as much faster response is obtained as compared to the ordinary GA and Ziegler Nichols method.

Sanjay Kr. Singh

2014-05-01

197

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

Directory of Open Access Journals (Sweden)

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

198

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

199

Hybrid PID-fuzzy control scheme for managing energy resources in buildings  

Digital Repository Infrastructure Vision for European Research (DRIVER)

Both indoor temperature regulation and energy resources management in buildings require the design and the implementation of efficient and readily adaptable control schemes. One can use standard schemes, such as "on/off" and PID, or "advanced" schemes, such as MPC (Model Predictive Control). Another approach would be considering artificial intelligence tools. In this sense, fuzzy logic allows controlling temperature and managing energy sources, taking advantage of the flexibility offered by l...

Paris, Benjamin; Eynard, Julien; Grieu, Ste?phane; Polit, Monique

2011-01-01

200

Nominal and robust stability regions of optimization-based PID controllers.  

Science.gov (United States)

In recent decades, several optimization-based methods have been developed for the proportional-integral-derivative (PID) controller design, and the common feature of these methods is that the controller has only one adjustable parameter. To keep the closed-loop systems stable is an essential requirement for the optimization-based PID controllers. In almost all these methods, however, no exact stability region for the single adjustable parameter was sketched. In this paper, using the proposed analytical procedure based on the dual-locus diagram technique, explicit stability regions of the optimization-based PID controllers are derived for stable, integrating, and unstable processes with time delay in the nominal and perturbed cases, respectively. It is revealed that the proposed analytical procedure is effective for the determination of the nominal and robust stability regions and it offers simplicity and ease of mathematical calculations over other available stability analysis methods. The results in this paper provide some insight into the tuning of the optimization-based PID controllers. PMID:16856633

Ou, Linlin; Zhang, Weidong; Gu, Danying

2006-07-01

 
 
 
 
201

Comparison between Conventional and Fuzzy Logic PID Controllers for Controlling DC Motors  

Digital Repository Infrastructure Vision for European Research (DRIVER)

Fuzzy logic and proportional-integral-derivative (PID) controllers are compared for use in direct current (DC) motors positioning system. A simulation study of the PID position controller for the armature-controlled with fixed field and field controlled with fixed armature current DC motors is performed. Fuzzy rules and the inferencing mechanism of the fuzzy logic controller (FLC) are evaluated by using conventional rule-lookup tables that encode the control knowledge in a rules form. The per...

Essam Natsheh; Buragga, Khalid A.

2010-01-01

202

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

203

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

204

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

205

PID Neural Network Based Speed Control of Asynchronous Motor Using Programmable Logic Controller  

Directory of Open Access Journals (Sweden)

Full Text Available This paper deals with the structure and characteristics of PID Neural Network controller for single input and single output systems. PID Neural Network is a new kind of controller that includes the advantages of artificial neural networks and classic PID controller. Functioning of this controller is based on the update of controller parameters according to the value extracted from system output pursuant to the rules of back propagation algorithm used in artificial neural networks. Parameters obtained from the application of PID Neural Network training algorithm on the speed model of the asynchronous motor exhibiting second order linear behavior were used in the real time speed control of the motor. Programmable logic controller (PLC was used as real time controller. The real time control results show that reference speed successfully maintained under various load conditions.

MARABA, V. A.

2011-11-01

206

Compare the results of Tuning of PID controller by using PSO and GA Technique for AVR system  

Directory of Open Access Journals (Sweden)

Full Text Available This paper Present to design method fordetermining the optimal proportional-integral-derivative(PID controller parameters of an Automatic VoltageRegulator (AVR system using the particle swarmoptimization (PSO algorithm and Genetic Algorithm (GA.The design goal is to minimize transient response byminimizing overshoot, settling time and rise time of stepresponse. The proposed approach had superior features,including easy implementation, stable convergencecharacteristic, and good computational efficiency. Fast tuningof optimum PID controller parameters yields high-qualitysolution. First an objective function is defined, and then byminimizing the objective functions using real-coded GA andPSO, the optimal controller parameters can be assigned.Compare the result of step response of AVR system by usingParticle Swarm Optimization (PSO and Genetic Algorithm(GA. The obtained result of the closed loop PSO-PID andGA-PID controller response to the unit step input signalshows excellent performance of the PID controller.Keywords— AVR system, Feedback System, Optimization,PID controller, PSO and GA.

Anil Kumar , Dr. Rajeev Gupta

2013-06-01

207

RBF neural network PID for Bilateral Servo Control System  

Directory of Open Access Journals (Sweden)

Full Text Available Tele-operated bilateral hydraulic servo system with master-slave robot at the core can be complex manipulated in uncertain or extreme environment (such as space, seabed, radicalization, battlefield, etc.. In this paper, a novel force feedback bilateral servo system is presented, based on analysis of bilateral servo system at home and abroad, which adopts tuning PID control algorithm with RBF neural network at the same time. From the simulation results, the novel force feedback bilateral servo system is presented to verify the effectiveness of the proposed control algorithm.The control briefness, fast response, strong robustness, good disturbance rejection capability and good adaptive capability can be obtained.It is also revealed from simulation results that the proposed control algorithm is valid for force feedback bilateral servo system and also provides the theoretical and experimental basis.    

Zhang Jingdong

2013-09-01

208

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

209

The Design of Glioma Hyperthermia Instrument Based on Fuzzy-PID.  

Science.gov (United States)

Fuzzy-PID control is introduced to glioma Hyperthermia, the system structure chart of Hyperthermia is given, Fuzzy-PID arithmetic, control rules and the time response figure are illuminated in detail. The simulation figure of the heating field characteristic and circuit of temperature measure are given. Finally, the clinical result of this instrument is introduced, which is in animal experiment. PMID:17281826

Runjing, Zhou; Lanping, Jia; Liang, Wang

2005-01-01

210

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

211

Development of Auto Tuning PID Controller Using Graphical User Interface (GUI  

Directory of Open Access Journals (Sweden)

Full Text Available Auto tuning PID controller is designed using MATLAB, Simulink and Graphical User Interface (GUI as well as the optimization of PID controller without excessive mathematic calculations. Ziegler-Nichols second method is used for designing purpose of the auto tuning PID controller. Some drawbacks have been discovered using this technique, where in some cases analysis and design problems can be tedious, since the solution involves trial and error. There are other methods utilized to solve this problem by given access to computers or programmable calculators configured with appropriate MATLAB and GUI software. The true power and advantage of the program developed lies in its ability to represent both compensated and uncompensated relationship and also ability to learn these relationships directly from the data being modeled. The results will then being validated by using manual calculation, MATLAB and Simulink. The value of Kp, Ti and Td in Ziegler-Nichols formula will be calculated using manual calculation while step response graph for each cases will be solved solve using Simulink.

T. L. T. Mohamed

2013-07-01

212

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

Directory of Open Access Journals (Sweden)

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

213

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

2008-10-01

214

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

215

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

Directory of Open Access Journals (Sweden)

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

216

Study of Immune PID Networked Control System Based on TrueTime  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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 fe...

Daogang Peng; Hao Zhang,; Conghua Huang; Jiajun Lin; Hui Li

2011-01-01

217

An improved robust fuzzy-PID controller with optimal fuzzy reasoning.  

Science.gov (United States)

Many fuzzy control schemes used in industrial practice today are based on some simplified fuzzy reasoning methods, which are simple but at the expense of losing robustness, missing fuzzy characteristics, and having inconsistent inference. The concept of optimal fuzzy reasoning is introduced in this paper to overcome these shortcomings. The main advantage is that an integration of the optimal fuzzy reasoning with a PID control structure will generate a new type of fuzzy-PID control schemes with inherent optimal-tuning features for both local optimal performance and global tracking robustness. This new fuzzy-PID controller is then analyzed quantitatively and compared with other existing fuzzy-PID control methods. Both analytical and numerical studies clearly show the improved robustness of the new fuzzy-PID controller. PMID:16366252

Li, Han-Xiong; Zhang, Lei; Cai, Kai-Yuan; Chen, Guanrong

2005-12-01

218

Coordinating IMC-PID and adaptive SMC controllers for a PEMFC.  

Science.gov (United States)

For a Proton Exchange Membrane Fuel Cell (PEMFC) power plant with a methanol reformer, the process parameters and power output are considered simultaneously to avoid violation of the constraints and to keep the fuel cell power plant safe and effective. In this paper, a novel coordinating scheme is proposed by combining an Internal Model Control (IMC) based PID Control and adaptive Sliding Mode Control (SMC). The IMC-PID controller is designed for the reformer of the fuel flow rate according to the expected first-order dynamic properties. The adaptive SMC controller of the fuel cell current has been designed using the constant plus proportional rate reaching law. The parameters of the SMC controller are adaptively tuned according to the response of the fuel flow rate control system. When the power output controller feeds back the current references to these two controllers, the coordinating controllers system works in a system-wide way. The simulation results of the PEMFC power plant demonstrate the effectiveness of the proposed method. PMID:19781698

Wang, Guo-Liang; Wang, Yong; Shi, Jun-Hai; Shao, Hui-He

2010-01-01

219

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

Directory of Open Access Journals (Sweden)

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

220

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

 
 
 
 
221

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.

222

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)

2008-08-01

223

Simulation Research on Control System of Brushless DC Motor Based on Fuzzy-PID  

Directory of Open Access Journals (Sweden)

Full Text Available To improve the overall performance of brushless DC motor (BLDCM, fuzzy-PID controller and its application in BLDCM control system are presented. Through the analysis of the mathematical models of BLDCM and combination of fuzzy control strategy and traditional PID control strategy, the modeling and simulation are done by the fuzzy control toolbox of MATLAB. The simulation results show that the fuzzy PID control speeds up response time, reduces the overshoot, and has strong robust and adaptive capacity, so it can make the system have better control performance and good application value.

Fanneng Zhou

2012-02-01

224

IMC-PID design based on model matching approach and closed-loop shaping.  

Science.gov (United States)

Motivated by the limitations of the conventional internal model control (IMC), this communication addresses the design of IMC-based PID in terms of the robust performance of the control system. The IMC controller form is obtained by solving an H-infinity problem based on the model matching approach, and the parameters are determined by closed-loop shaping. The shaping of the closed-loop transfer function is considered both for the set-point tracking and for the load disturbance rejection. The design procedure is formulated as a multi-objective optimization problem which is solved by a specific optimization algorithm. A nice feature of this design method is that it permits a clear tradeoff between robustness and performance. Simulation examples show that the proposed method is effective and has a wide applicability. PMID:24280534

Jin, Qi B; Liu, Q

2014-03-01

225

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

Digital Repository Infrastructure Vision for European Research (DRIVER)

This paper suggests an idea to design an adaptive PID controller for Non-linear liquid tank System and is implemented in PLC. Online estimation of linear parameters (Time constant and Gain) brings an exact model of the process to take perfect control action. Based on these estimated values, the controller parameters will be well tuned by internal model control. Internal model control is an unremarkably used technique and provides well tuned controller in order to have a good controlling proce...

2013-01-01

226

MULTI OBJECTIVE OPTIMIZATION OF VEHICLE ACTIVE SUSPENSION SYSTEM USING DEBBO BASED PID CONTROLLER  

Directory of Open Access Journals (Sweden)

Full Text Available This paper proposes the Multi Objective Optimization (MOO of Vehicle Active Suspension System (VASS with a hybrid Differential Evolution (DE based Biogeography-Based Optimization (BBO (DEBBO for the parameter tuning of Proportional Integral Derivative (PID controller. Initially a conventional PID controller, secondly a BBO, an rising nature enthused global optimization procedure based on the study of the ecological distribution of biological organisms and a hybridized DEBBO algorithm which inherits the behaviours of BBO and DE have been used to find the tuning parameters of the PID controller to improve the performance of VASS by considering a MOO function as the performance index. Simulations of passive system, active system having PID controller with and without optimizations have been performed by considering dual and triple bump kind of road disturbances in MATLAB/Simulink environment. The simulation results show the effectiveness of DEBBO based PID (DEBBOPID in achieving the goal.

Kalaivani Rajagopal

2014-03-01

227

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

228

Improvement of speed control performance using PID type neurocontroller in an electric vehicle system  

Energy Technology Data Exchange (ETDEWEB)

In order to develop an efficient driving system for electric vehicle (EV), a testing system using motors has been built to simulate the driving performance of EVs. In the testing system, the PID (Proportional Integral Derivative) controller is used to control rotating speed of motor when the EV drives. In this paper, in order to improve the performance of speed control, a neural network is applied to tuning parameters of PID controller. It is shown, through experiments that a neural network can reduce output error effectively while the PID controller parameters are being tuned online. 6 refs.

Matsumura, S.; Omatu, S.; Higasa, H. [Shikoku Research Inst. Inc., Takamatsu (Japan)

1994-12-31

229

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

230

Event driven intelligent PID controllers with applications to motion control  

Digital Repository Infrastructure Vision for European Research (DRIVER)

A novel type of reduced complexity controller is proposed. It is the combination of model free control and event triggered control. The robustness of model free control, especially for badly known dynamics, is added to the event based scheme. The performances of the proposed method are illustrated in two motion controls, vehicular longitudinal control and quadrotor control. Comparisons with existing control schemes are also proposed.

Wang, Jing; Mounier, Hugues; Cela, Arben; Niculescu, Silviu-iulian

2011-01-01

231

High precision position control of voice coil motor based on single neuron PID  

Science.gov (United States)

Voice coil motor(VCM) is widely used in high-speed and high-precision positioning control system in recent years. However, there are system uncertainty, nonlinear, modeling error, and external disturbances in the high-precision positioning control system, traditional PID control method is difficult to achieve precise positioning control. In this paper, a new position control strategy with a single neuron controller which has the capability of self-studying and self-adapting composed with PID controller is put forward, and the feedforward compensator is added to improve the dynamic response of the system in the position loop. Moreover, the disturbance observer is designed to suppress model parameter uncertainty and external disturbance signal in the current loop. In addition, the problem of high precision position control of VCM under the influence of significant disturbances is addressed, which including the gas-lubricated damping, the spring, the back EMF and ripple forces, on the basis, the mathematical model of VCM is established accurately. The simulation results show that this kind of controller can improve the dynamic characteristic and strengthen the robustness of the system, and the current loop with disturbance observer can also restrain disturbance and high frequency.

Li, Liyi; Chen, Qiming; Tan, Guangjun; Zhu, He

2013-01-01

232

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

Digital Repository Infrastructure Vision for European Research (DRIVER)

 

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 cont...

Jianqiu Deng; Cui Hao

2011-01-01

233

Automatic Tuning Of Proportional-Integral-Derivative (Pid Controller Using Particle Swarm Optimization (Pso Algorithm  

Directory of Open Access Journals (Sweden)

Full Text Available The proportional-integral-derivative (PID controllers are the most popular controllers used in industry because of their remarkable effectiveness, simplicity of implementation and broad applicability. However, manual tuning of these controllers is time consuming, tedious and generally lead to poor performance. This tuning which is application specific also deteriorates with time as a result of plant parameter changes. This paper presents an artificial intelligence (AI method of particle swarm optimization (PSO algorithm for tuning the optimal proportional-integral derivative (PID controller parameters for industrial processes. This approach has superior features, including easy implementation, stable convergence characteristic and good computational efficiency over the conventional methods. Ziegler- Nichols, tuning method was applied in the PID tuning and results were compared with the PSO-Based PID for optimum control. Simulation results are presented to show that the PSO-Based optimized PID controller is capable of providing an improved closed-loop performance over the Ziegler- Nichols tuned PID controller Parameters. Compared to the heuristic PID tuning method of Ziegler-Nichols, the proposed method was more efficient in improving the step response characteristics such as, reducing the steady-states error; rise time, settling time and maximum overshoot in speed control of DC motor.

S. J. Bassi 1, 1 and2, 1 and 2

2011-11-01

234

Analytical design of feedback compensators based on Robustness/Performance and Servo/Regulator trade-offs. Utility in PID control applications  

Digital Repository Infrastructure Vision for European Research (DRIVER)

Tot i la seva senzillesa, la idea de la realimentació negativa (o "feedback" en anglès) és extremadament poderosa i ha tingut un gran impacte en la societat des de la revolució industrial ençà. En l'actualitat, els sistemes de control estan a tot arreu. A la indústria de processos, per exemple, s'encarreguen de mantenir les variables d'interès aprop dels valors de consigna. Encara més, els sistemes de control han de garantir aquests objectius tot i la presència d'incertesa en el pro...

Alca?ntara Cano, Salvador

2011-01-01

235

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

236

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

2006-11-01

237

GA-based PID control of the plate width in hot-plate mills  

Science.gov (United States)

In hot plate mills the slabs from incoming reheat furnace are reduced to the desired width and thickness, being rolled out with considerable accuracy. The process of changing the plate width is controlled by a pair of edge rolls, which is called edger. The objectives of this edging process are to meet tight width tolerances of plates and to reduce the yield loss caused by trimming when irregular width is formed at the plate edge. There are several factors that result in complexity and uncertainty in width control. These include inaccurate edger set-up model, degradation of various mill equipment, variation of operation conditions, environments and variation of the dimension of incoming cast slabs. In this paper, a genetic algorithm-based PID control is proposed to ensure the control of the desired width at the exit of the mill. The approach adopted here is essentially optimization of the PID controller gains in order to minimize the error between the desired and actual slab width. Since the design parameters associated with genetic algorithm affect convergence performance, the effects of these parameters are investigated in detail. In addition, the control performance is also evaluated for various process parameters such as initial width of the incoming slab and temperature of the slab. Based on the result obtained from a series of simulations, the proposed control method is found to yield satisfactory performance for various process conditions.

Kim, Byungman; Lee, Dae Y.; Cho, Hyungsuck

1999-11-01

238

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

239

Please no more PID tuning rules  

Digital Repository Infrastructure Vision for European Research (DRIVER)

Despite the large number of existent design and tunig techniques, adequate PID controller tuning by plant operations is still not accomplished in many process control loops. The particle swarm optimisation algorithms is proposed as an alternative technique to design and tune PID controllers for linear single-input single-output systems. This evolutionary approach is illustrated by a simulation example, in which the PID is used to control a set of models that represents a wide variety of proce...

2002-01-01

240

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

 
 
 
 
241

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

242

A PID Sliding Mode Control for Ropeless Elevator Maglev Guiding System  

Directory of Open Access Journals (Sweden)

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

243

Computation of stabilizing PI and PID controllers for processes with time delay.  

Science.gov (United States)

In this paper, a new method for the computation of all stabilizing PI controllers for processes with time delay is given. The proposed method is based on plotting the stability boundary locus in the (kp, ki) plane and then computing the stabilizing values of the parameters of a PI controller for a given time delay system. The technique presented does not need to use Pade approximation and does not require sweeping over the parameters and also does not use 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 compute stabilizing PI controllers which achieve user specified gain and phase margins. The proposed method is also used to design PID controllers for control systems with time delay. The limiting values of a PID controller which stabilize a given system with time delay are obtained in the (kp, ki) plane, (kp, kd) plane, and (ki, kd) plane. Examples are given to show the benefits of the method presented. PMID:15868860

Tan, Nusret

2005-04-01

244

A numerical model including PID control of a multizone crystal growth furnace  

Science.gov (United States)

This paper presents a 2D axisymmetric combined conduction and radiation model of a multizone crystal growth furnace. The model is based on a programmable multizone furnace (PMZF) designed and built at NASA Lewis Research Center for growing high quality semiconductor crystals. A novel feature of this model is a control algorithm which automatically adjusts the power in any number of independently controlled heaters to establish the desired crystal temperatures in the furnace model. The control algorithm eliminates the need for numerous trial and error runs previously required to obtain the same results. The finite element code, FIDAP, used to develop the furnace model, was modified to directly incorporate the control algorithm. This algorithm, which presently uses PID control, and the associated heat transfer model are briefly discussed. Together, they have been used to predict the heater power distributions for a variety of furnace configurations and desired temperature profiles. Examples are included to demonstrate the effectiveness of the PID controlled model in establishing isothermal, Bridgman, and other complicated temperature profies in the sample. Finally, an example is given to show how the algorithm can be used to change the desired profile with time according to a prescribed temperature-time evolution.

Panzarella, Charles H.; Kassemi, Mohammad

245

A numerical model including PID control of a multizone crystal growth furnace  

Science.gov (United States)

This paper presents a 2D axisymmetric combined conduction and radiation model of a multizone crystal growth furnace. The model is based on a programmable multizone furnace (PMZF) designed and built at NASA Lewis Research Center for growing high quality semiconductor crystals. A novel feature of this model is a control algorithm which automatically adjusts the power in any number of independently controlled heaters to establish the desired crystal temperatures in the furnace model. The control algorithm eliminates the need for numerous trial and error runs previously required to obtain the same results. The finite element code, FIDAP, used to develop the furnace model, was modified to directly incorporate the control algorithm. This algorithm, which presently uses PID control, and the associated heat transfer model are briefly discussed. Together, they have been used to predict the heater power distributions for a variety of furnace configurations and desired temperature profiles. Examples are included to demonstrate the effectiveness of the PID controlled model in establishing isothermal, Bridgman, and other complicated temperature profies in the sample. Finally, an example is given to show how the algorithm can be used to change the desired profile with time according to a prescribed temperature-time evolution.

Panzarella, Charles H.; Kassemi, Mohammad

1992-01-01

246

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

247

Single Neuron PID Control of Aircraft Deicing Fluids Rapid Heating System  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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. Simulati...

Bin Chen; Hong-zhen Yang; Li-wen Wang

2013-01-01

248

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

Directory of Open Access Journals (Sweden)

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

249

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

Directory of Open Access Journals (Sweden)

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

250

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

Directory of Open Access Journals (Sweden)

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

251

A Paper on System Stability (First Order and Second Order) Using PID Controller  

Digital Repository Infrastructure Vision for European Research (DRIVER)

PID Controller is used for tuning of three constants(P,I&D).It stabilize the system by reducing oscillations andsettling time. In the proposed method, new tuning rules based onthe exact satisfaction of gain and phase margin specificationsusing proportional-integral (PI) andproportional-integral-differential (PID) type controllers are usedfor unstable first-order plus dead-time (UFOPDT) processes. Thetuning rules are given in the form of iterative algorithms, as wellas in the form of accurate,...

2013-01-01

252

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

253

Automatic PID Tuning Based on Genetic Algorithm for Botnia Soccer Robots  

Digital Repository Infrastructure Vision for European Research (DRIVER)

Current PID parameters of botnia soccer robot are experiential predefined. Those PID parameters are fixed on different field surface, which make the PID controller cannot perform very well. To get appropriate PID parameters based on the specific field, the genetic algorithm was used to tune the PID parameters automatically. In this thesis, a genetic algorithm program used to tune botnia soccer robot PID parameters has been designed. Meanwhile, this design has been simulated with Matlab and...

Gong, Pengju

2012-01-01

254

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

255

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

Directory of Open Access Journals (Sweden)

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

256

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

Directory of Open Access Journals (Sweden)

Full Text Available Measuring the flow of liquids is a critical need in many industrial plants. In recent years, flow control has become a highly multi-disciplinary research activity encompassing theoretical, computational and experimental fluid dynamics. Fuzzy control is based on fuzzy logic-a logical system that is much closer in spirit to human thinking and natural language than traditional logical systems. During the past several years, fuzzy control has emerged as one of the most active and fruitful areas for research in the applications of fuzzy set theory, especially in the realm of industrial processes, which do not lend themselves to control by conventional methods because of a lack of quantitative data regarding the input-output relations. The fuzzy logic controller (FLC based on fuzzy logic provides a means of converting a linguistic control strategy based on expert knowledge into an automatic control strategy. Fuzzy Logic controller has better stability, small overshoot, and fast response. In this Paper, performance analysis of the conventional PID controller and fuzzy logic controller has been done by the use of Matlab and Simulink and in the end comparison of various time domain parameters is done to prove that the fuzzy logic controller has small overshoot and fast response as compared to PID controller.

Gaurav

2012-06-01

257

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

2008-08-01

258

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

Directory of Open Access Journals (Sweden)

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

259

Nonlinear Adaptive PID Control for Greenhouse Environment Based on RBF Network  

Directory of Open Access Journals (Sweden)

Full Text Available This paper presents a hybrid control strategy, combining Radial Basis Function (RBF network with conventional proportional, integral, and derivative (PID controllers, for the greenhouse climate control. A model of nonlinear conservation laws of enthalpy and matter between numerous system variables affecting the greenhouse climate is formulated. RBF network is used to tune and identify all PID gain parameters online and adaptively. The presented Neuro-PID control scheme is validated through simulations of set-point tracking and disturbance rejection. We compare the proposed adaptive online tuning method with the offline tuning scheme that employs Genetic Algorithm (GA to search the optimal gain parameters. The results show that the proposed strategy has good adaptability, strong robustness and real-time performance while achieving satisfactory control performance for the complex and nonlinear greenhouse climate control system, and it may provide a valuable reference to formulate environmental control strategies for actual application in greenhouse production.

Guanghui Li

2012-04-01

260

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

Directory of Open Access Journals (Sweden)

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

 
 
 
 
261

PID Control of Miniature Unmanned Helicopter Yaw System Based on RBF Neural Network  

Science.gov (United States)

The yaw dynamics of a miniature unmanned helicopter exhibits a complex, nonlinear, time-varying and coupling dynamic behavior. In this paper, simplified yaw dynamics model of MUH in hovering or low-velocity flight mode is established. The SISO model of yaw dynamics is obtained by mechanism modeling and system identification modeling method. PID control based on RBF neural network method combines the advantages of traditional PID controller and neural network controller. It has fast response, good robustness and self-adapting ability. It is suitable to control the yaw system of MUH. Simulation results show that the control system works well with quick response, good robustness and self adaptation.

Pan, Yue; Song, Ping; Li, Kejie

262

Wastegate Actuator Modeling and Tuning of a PID Controller for Boost Pressure Control  

Digital Repository Infrastructure Vision for European Research (DRIVER)

In some turbochargers, boost pressure is reduced by opening the wastegate valve. In a modern turbo charged car, the most common way for opening the wastegate is with a pneumatic actuator and an air control solenoid, controlled by the ECU. In the control systems studied the ECU utilizes a static feedforward and a PID controller, for the purpose of making the boost pressure follow its reference value. With no systematic method for tuning the controller, this can be time consuming, and a set of ...

Thomasson, Andreas

2009-01-01

263

Improved Self-tuning Fuzzy PID Controller for Speed Control of Induction Motor  

Science.gov (United States)

An improved self-tuning fuzzy PID controller, which has an ability to compensate for parameter variation, is proposed and applied to the speed control of the indirect vector-controlled induction motor. The controller gains are adjusted on-line using the tuning algorithm based on an artificial neural network (ANN). And a variable learning rate algorithm is proposed to improve the tracking performance while keeping the robustness. Simulation and experimental results confirm that good dynamic performance and high robustness to parameter variation and disturbance can be achieved by means of the proposed controller.

Kim, Sang-Min; Han, Woo-Yong; Lee, Chang-Goo

264

Multi-Stage Noninteracting PID Control by Precompensators with Series-Parallel Connection  

Science.gov (United States)

In multivariable control systems, controlled variables interact each other in general. In this case one compensation for a control loop exerts harmful influence upon other control loop through the interaction. If we could take away this interaction by some ways for a complete one to one corresponds between the manipulated variable and the controlled variable, then the design of control systems results in the individual compensation of the single loop control. A cross controller was used for removing the interaction thus far mainly, but it was complicated and the controller was high-order. On the other hand, the precompensator by the Inverse Nyquist Array method was also used for noninteraction of the controlled variables. However it is difficult to remove the interaction of the controlled system, which has very strong interaction, when the precompensator is used only one. This paper proposes the series and/or parallel connection of the precompensators for a multi-stage noninteracting PID control, and the multi-stage precompensators are applied to the control of the fluid temperature and liquid level interacting plant to confirm the effectiveness.

Lee, Hee-Hyol; Nagamachi, Masamune; Choi, Won-Kyu; Song, Jeong-Young; Miyazaki, Michio; Akizuki, Kageo

265

Single Neuron PID Control of Aircraft Deicing Fluids Rapid Heating System  

Directory of Open Access Journals (Sweden)

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

266

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

267

Generalized PID observer design for descriptor linear systems.  

Science.gov (United States)

A type of generalized proportional-integral-derivative observers is proposed for descriptor linear systems. Based on a general parametric solution to a type of generalized Sylvester matrix equations, a parametric design approach for such observers is established. The proposed approach provides parameterizations for all the observer gain matrices, gives the parametric expression for the corresponding left eigenvector matrix of the observer system matrix, realizes the elimination of impulsive behaviors, and guarantees the regularity of the observer system. The design method can offer all the degrees of design freedom, which can be utilized to achieve various desired system specifications and performances. In addition, a numerical example is employed to show the design procedure and illustrate the effect of the presented approach. PMID:17926719

Wu, Ai-Guo; Duan, Guang-Ren; Fu, Yan-Ming

2007-10-01

268

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

269

Optimización de señal de control en reguladores PID con arquitectura antireset Wind-Up  

Directory of Open Access Journals (Sweden)

Full Text Available This paper shows the reader the methods of tuning PID controllers Kayser-Rajka (KR and Astrom-Haglund (AH, with the aim of evaluatingtheir performance against some conventional methods like Ziegler-Nichols tuning (ZN. It also shows the method for improving the control signal based on the architecture Antireset Wind-Up.

Ilber Adonayt Ruge Ruge

2011-12-01

270

Stabilized Max-Min Flow Control Using PID and PII2 Controllers  

Digital Repository Infrastructure Vision for European Research (DRIVER)

This paper describes an analytical framework for the weighted max-min flow control of elastic flows in packet networks using PID and PII2 controller when flows experience heterogeneous round-trip delays. Our algorithms are scalable in that routers do not need to store any per-flow information of each flow and they use simple first come first serve (FCFS) discipline, stable in that the stability is proven rigorously when there are flows with heterogeneous round-trip delays. We first suggest tw...

Cho, Jeong-woo; Chong, Song

2004-01-01

271

Fuzzy PID Control Method for Internet-based Tele-operation Manipulators System  

Digital Repository Infrastructure Vision for European Research (DRIVER)

Trajectory tracking control problem for internet-based tele-operation system is researched in this paper. The control structure of master and slave tele-operation manipulators adapts bilateral servo control architecture with force deviation feedback. The simulation model of three degrees of freedom (3-DOF) manipulator is presented. In order to ensure the synchronization of positions of the master and slave manipulators, a fuzzy PID control method is proposed. This control algorithm is to ...

Wei Gao; Miaolei Zhou

2013-01-01

272

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

273

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

274

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

Digital Repository Infrastructure Vision for European Research (DRIVER)

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 i...

2013-01-01

275

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 nonlinear process.

Machado, Carlos; Gomes, Pedro; Soares, Rui; Pereira, Si?lvia; Soares, Filomena O.

2001-01-01

276

A New Current-Feedback-Amplifiers (CFAs) Based Proportional-Integral-Derivative (PID) Controller Realization and Calculating Optimum Parameter Tolerances  

Digital Repository Infrastructure Vision for European Research (DRIVER)

A synthesis procedure of a proportional-integral-derivative (PID) controller is implemented with commercially active component, AD844, called current – feed back amplifier. Furthermore, the optimum parameter tolerances for the proposed PID circuit by the use of parameter sensitivities are determined. These tolerances keep the relative error at the output of the controller due to parameter variations in tolerance region.

Cevat Erdal

2002-01-01

277

The Advantages of PID Fuzzy Controllers Over The Conventional Types  

Digital Repository Infrastructure Vision for European Research (DRIVER)

Fuzzy logic controllers (FLC's) have the following advantages over the conventional controllers: they are cheaper to develop, they cover a wider range of operating conditions, and they are more readily customizable in natural language terms. A self-organizing fuzzy controller can automatically refine an initial approximate set of fuzzy rules. Application of PI-type fuzzy controller increases the quality factor. In this paper, the voltage raising type-pulse controller is considered. Two types ...

Al-odienat, Abdullah I.; Al-lawama, Ayman A.

2008-01-01

278

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

279

Geometric Nonlinear PID Control of a Quadrotor UAV on SE(3)  

Digital Repository Infrastructure Vision for European Research (DRIVER)

Nonlinear PID control systems for a quadrotor UAV are proposed to follow an attitude tracking command and a position tracking command. The control systems are developed directly on the special Euclidean group to avoid singularities of minimal attitude representations or ambiguity of quaternions. A new form of integral control terms is proposed to guarantee almost global asymptotic stability when there exist uncertainties in the quadrotor dynamics. A rigorous mathematical pro...

Goodarzi, Farhad; Lee, Daewon; Lee, Taeyoung

2013-01-01

280

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

 
 
 
 
281

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.

2013-01-01

282

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

283

Comparison between classic PID, Integer Order PID and Fuzzy Logic Controller for Ceramic Infrared Heater: Analysis using MATLAB/Simulink  

Digital Repository Infrastructure Vision for European Research (DRIVER)

This paper discusses the design, simulation andperformance of ceramic infrared heater controller. This heater isenergy saving potential, efficient heat transfer, uniform heating,efficient and instant heat. Many industries are increasibilymaking use of infrared technology as a means of improving theirprocess. This type of heating often requires a large area of floorspace. This study successfully developed a controller to achieve aneffective and robust control of the infrared heating process. T...

2012-01-01

284

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

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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

285

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

286

MULTI-OBJECTIVE OPTIMISATION OF PID AND H? FIN/RUDDER ROLL CONTROLLERS  

Digital Repository Infrastructure Vision for European Research (DRIVER)

Active control of ship roll is necessary for operability of an important number of ships. As such it has been strongly developed in the past twenty years. A way of improving performances is to use and control rudders as well as fins. A MIMO control law synthesis methodology is presented in this paper, which is based on multi-objective optimisation. The optimisation is realised with a genetic algorithm. It is applied to a PID and a H? controller, both MIMO. Simulation results with various sp...

Tanguy, Herve?; Lebret, Guy; Doucy, Olivier

2003-01-01

287

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

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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

288

Applying Genetic Algorithm to Adjustment PID Coefficients in Order to Power Control of Micro-Turbine in Island Condition  

Directory of Open Access Journals (Sweden)

Full Text Available The ever increasing energy demand, along with the necessity of cost reduction and higher reliability requirements, are driving the modern power systems towards Distributed Generation (DG as an alternative to the expansion of the current energy distribution systems. This paper is aimed to introduce the new controller in order to control of output power of one of the most important types of distributed generation namely microturbine, during system load variations. Micro-turbine output power should be control against the load variations in island mode condition and a controller should be designed for this purpose. Here, the PID Controller is used which its coefficients are optimized based on Genetic Algorithm. Simulation results are done for various loads in time domain, and the results show the efficiency of the proposed controller.

Noradin Ghadimi

2012-03-01

289

Performance Enhancement of a Dynamic System Using PID Controller Tuning Formulae  

Directory of Open Access Journals (Sweden)

Full Text Available The proportional integral derivative (PID controller is the most dominant form of automatic controller in industrial use today. With this technique, it is necessary to adjust the controller parameters according to the nature of the process. Thus, for effective control of a HVDC system, for example, specific values need to be chosen for the P, I and D parameters, which will be different for the values required to control, for example, an induction motor drive. This tailoring of controller to process is known as controller tuning. Controller tuning is easily and effectively performed using tuning rules (i.e. formulae for controller tuning, based on process information. Such tuning rules allow the easy set up of controllers to achieve optimum performance at commissioning. Importantly, they allow ease of re -commissioning if the characteristics of the process change. The paper communicates the results of recent work in the collation of industry-relevant PI and PID controller tuning rules, which may be applied to a variety of applications in power electronics, machines and drives.

Jyotiprakash Patra

2011-09-01

290

Application of genetic algorithm to control design  

Energy Technology Data Exchange (ETDEWEB)

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.

Lee, Yoon Joon; Cho, Kyung Ho [Cheju National Univ., Cheju (Korea, Republic of)

1995-07-01

291

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.

292

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.

293

Implementation of ON/OFF and PID controller using TCP Protocol Based on Virtual Instrumentation  

Directory of Open Access Journals (Sweden)

Full Text Available LabVIEW(Laboratory Virtual InstrumentEngineering Workbenchisthe softwarewhichgives virtual existence ofhardware, reduces its costand hencetermed as Virtual Instrumentation.Thispaper deals with the implementation ofON/OFFand PID controller for controlling the temperatureof a heating element inside a wooden box with thehelp of LabVIEW. In this software,TransmissionControl Protocol (TCPis used for developing anonline transmission processbetween client andserver. Client has control overthe set point andServer has control over the temperature. Inhardware section, a DataAcquisition (DAQ cardreads temperature from sensor and delivers toServer. With the help of internet protocol,clientprovides the value ofset point according to whichthe control actions aretaken by the server.Thepaper also includes discussions regarding theadvantages and disadvantages of TCP/IP.

Abhyarthana Bisoyi , Umesh Chandra Pati

2013-03-01

294

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.

295

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

296

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

297

Study of Constant Voltage Control on Small Steam Generator Based on PID Algorithm  

Directory of Open Access Journals (Sweden)

Full Text Available The object of this study is a kind of 3 kW small steam generator, which can recover waste heat through making use of 0.1~0.3 MPa steam. This can exploit secondary energy efficiently. The electricity generated can be commonly used as factory lighting, heating, fan and emergency power supply. But the generation voltage of the existed steam turbine is instable, especially when the steam pressure and the load of the generator changes suddenly. This can pose a threat to electrical safety and greatly limit the market of small steam generator. In this study, PID control algorithm is used to control the amount of steam into the turbine of generator system. And the closed-loop control system can make a real-time feedback regulation to the steam, so that the generator voltage can be stable. The user's electrical safety requirements are satisfied as well.

Yanjun Xiao

2014-03-01

298

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

299

Stability of PID-Controlled Linear Time-Delay Feedback Systems  

CERN Multimedia

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

300

Performance Analysis of a Neuro-PID Controller Applied to a Robot Manipulator  

Directory of Open Access Journals (Sweden)

Full Text Available The performance of robot manipulators with nonadaptive controllers might degrade significantly due to the open loop unstable system and the effect of some uncertainties on the robot model or environment. A novel Neural Network PID controller (NNP is proposed in order to improve the system performance and its robustness. The Neural Network (NN technique is applied to compensate for the effect of the uncertainties of the robot model. With the NN compensator introduced, the system errors and the NN weights with large dispersion are guaranteed to be bounded in the Lyapunov sense. The weights of the NN compensator are adaptively tuned. The simulation results show the effectiveness of the model validation approach and its efficiency to guarantee a stable and accurate trajectory tracking process in the presence of uncertainties.

Saeed Pezeshki

2012-11-01

 
 
 
 
301

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

Digital Repository Infrastructure Vision for European Research (DRIVER)

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 ...

2013-01-01

302

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

303

PID control of brushless DC motor and robot trajectory planning simulation with MATLAB®/SIMULINK®  

Digital Repository Infrastructure Vision for European Research (DRIVER)

This report presents a PID model of a brushless dc (BLDC) motor and a robot trajectory planning and simulation. A short description of the brushless dc motor is given. For this work, mathematical models were developed and subsequently used in getting the simulation parameters. The PID model is accomplished with the use of MATLAB®/SIMULINK®. The operational parameters of the specific BLDC motor were modelled using the tuning methods which are used to develop subsequent simulations. The best ...

Oguntoyinbo, Oludayo

2009-01-01

304

Optimización de señal de control en reguladores PID con arquitectura antireset Wind-Up / Control signal optimization for PID regulators based on a Wind-Up anti-reset architecture  

Scientific Electronic Library Online (English)

Full Text Available SciELO Colombia | Language: Spanish Abstract in spanish El presente artículo muestra al lector los métodos de sintonización de controladores PID Kayser-Rajka (KR) y Astrom-Haglund (AH), con el ánimo de evaluar su desempeño frente a algunos métodos convencionales de sintonización como Ziegler-Nichols (ZN). Además, se muestra el método de mejoramiento de l [...] a señal de control basado en la arquitectura Antireset Wind-Up. Abstract in english This paper shows the reader the methods of tuning PID controllers Kayser-Rajka (KR) and Astrom-Haglund (AH), with the aim of evaluating their performance against some conventional methods like Ziegler-Nichols tuning (ZN). It also shows the method for improving the control signal based on the archite [...] cture Antireset Wind-Up.

Ilber Adonayt, Ruge Ruge.

305

BEHAVIOR RESPONSES AND CONTROL MODELING BASED CASCADED PID CONTROLLER SCHEME FOR COMBUSTION OF A UTILITY BOILER  

Digital Repository Infrastructure Vision for European Research (DRIVER)

The main objective of the combustion controller in a thermal power plant is to regulate fuel and air in proper ratio to maintain the desired steam pressure at the turbine inlet, irrespective of the changes in steam demand. To achieve a continuous supply of steam at the desired pressure conditions is difficult to cope with inherenttime delay, nonlinearity due to uncertainty of the combustion process and frequent load changes. This paper deals with the design of behavior response computation ba...

2012-01-01

306

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

307

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

308

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

309

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

310

Effective Teaching Learning Process for PID Controller Based on Experimental Setup with LabVIEW  

Directory of Open Access Journals (Sweden)

Full Text Available This paper presents low cost general architecture of experiments for dc motor speed control. In order to provide student a more vivid understanding of control system theory which introduces them to Proportional-Integral-Derivative control and design, an experimental teaching control system of dc motor speed control is developed based on graphical programming software LabVIEW. Pulse Width Modulation (PWM technique is employed to control motor speed.

Komal Sampatrao Patil

2013-07-01

311

Status of LHD control system design  

International Nuclear Information System (INIS)

The present status of LHD (Large Helical Device) control system design is described, emphasizing on the plasma operation modes, the architecture of the LHD control system, the real-time plasma feedback system with PID or Fuzzy controllers and the construction schedule of the LHD control system. The conceptual and detailed designs are under way taking flexible and reliable operations for physics experiments into account. (author)

1992-12-01

312

Status of LHD control system design  

International Nuclear Information System (INIS)

The present status of LHD (Large Helical Device) control system design is described, emphasizing on the plasma operation modes, the architecture of the LHD control system, the real-time plasma feedback system with PID or Fuzzy controllers and the construction schedule of the LHD control system. The conceptual and designs are under way taking flexible and reliable operations for physics experiments into account. (author)

1991-01-01

313

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

Digital Repository Infrastructure Vision for European Research (DRIVER)

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 ...

2013-01-01

314

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

Digital Repository Infrastructure Vision for European Research (DRIVER)

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 satisfacto...

Jian Wang; Long-yun Kang; Bing-Gang Cao

2005-01-01

315

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

316

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

Directory of Open Access Journals (Sweden)

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

317

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

Directory of Open Access Journals (Sweden)

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

318

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%

2013-03-01

319

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.

Luis Hernando Ru00EDos Gonzu00E1lez

2012-01-01

320

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

 
 
 
 
321

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 ...

322

Handling packet dropouts and random delays for unstable delayed processes in NCS by optimal tuning of PI?D? controllers with evolutionary algorithms.  

Science.gov (United States)

The issues of stochastically varying network delays and packet dropouts in Networked Control System (NCS) applications have been simultaneously addressed by time domain optimal tuning of fractional order (FO) PID controllers. Different variants of evolutionary algorithms are used for the tuning process and their performances are compared. Also the effectiveness of the fractional order PI(?)D(?) controllers over their integer order counterparts is looked into. Two standard test bench plants with time delay and unstable poles which are encountered in process control applications are tuned with the proposed method to establish the validity of the tuning methodology. The proposed tuning methodology is independent of the specific choice of plant and is also applicable for less complicated systems. Thus it is useful in a wide variety of scenarios. The paper also shows the superiority of FOPID controllers over their conventional PID counterparts for NCS applications. PMID:21621208

Pan, Indranil; Das, Saptarshi; Gupta, Amitava

2011-10-01

323

Analytical determination of PID coefficients for temperature and humidity control during cooling and dehumidifying by compressor and evaporator fan speed variation  

Energy Technology Data Exchange (ETDEWEB)

A linearized analysis of temperature and relative humidity control using proportional-integral-differential (PID) controls to vary compressor motor speed and evaporator fan speed enables analytical determination of suitable PID coefficients. The PID coefficients are related to refrigeration system performance parameters and the volume of the conditioned space. Analytical determination of coefficients may eliminate or supplement trial-and-error methods. System response characteristics--damping ratios and periods--are related to PID coefficients, sampling intervals, performance parameters of a refrigeration system, and the volume of a conditioned space. Two control strategies are possible in order to control space temperature and relative humidity simultaneously. One strategy controls temperature by varying compressor speed and controls relative humidity by varying evaporator fan speed. The other strategy controls temperature by varying evaporator fan speed and controls relative humidity by varying compressor fan speed The first strategy was successfully implemented experimentally as well as by simulation. The second strategy was not successfully implemented due to an adverse interaction between the two control systems.

Krakow, K.I.; Lin, S.; Zeng, Z.S. [Concordia Univ., Montreal, Quebec (Canada). Dept. of Mechanical Engineering

1995-08-01

324

The Design for Feed Water System of Boiler Based on Fuzzy Immune Smith Control  

Digital Repository Infrastructure Vision for European Research (DRIVER)

Aiming at the uncertainty of model parameters and dominate time delay of the controlled object in feed water system of boiler, combined with improved Smith predictor control method and fuzzy immune PID control method, improved Smith predicting controller based on fuzzy immune is designed.

Fuzzy Immune PID controller can self-tune parameters, and has adaptive capacity to the diversification of controlled object parameters. When there is the phenomenon of large delay...

GuiLi Yuan; JiZhen Liu

2012-01-01

325

High-Speed and Low-Power PID structures for embedded applications.  

Digital Repository Infrastructure Vision for European Research (DRIVER)

In embedded control applications, control-rate and energy-consumption are two critical design issues. This paper presents a series of high-speed and low-power finite-word-length PID controllers based on a new recursive multiplication algorithm. Compared to published results into the same conditions, savings of 431% and 20% are respectively obtained in terms of control-rate and dynamic power consumption. In addition, the new multiplication algorithm generates scalable PID structures that can b...

2011-01-01

326

High-Speed and Low-Power PID Structures for Embedded Applications.  

Digital Repository Infrastructure Vision for European Research (DRIVER)

In embedded control applications, control-rate and energyconsumption are two critical design issues. This paper presents a series of highspeed and low-power finite-word-length PID controllers based on a new recursive multiplication algorithm. Compared to published results into the same conditions, savings of 431% and 20% are respectively obtained in terms of control-rate and dynamic power consumption. In addition, the new multiplication algorithm generates scalable PID structures that can be ...

2011-01-01

327

Passing from a Gas to an Electric Water Heater System: Adaptive PID Versus Smith Predictive Control  

Digital Repository Infrastructure Vision for European Research (DRIVER)

This paper presents the control results of an electric water heater system using two approaches: adaptable proportional integral derivative and Smith predictive control based in the physical internal model control structure.

Vieira, Jose?; Mota, Alexandre

2007-01-01

328

Design and Development of Modern Controllers for CANDU Reactor  

International Nuclear Information System (INIS)

The safe and reliable controlling with sufficient accuracy of the nuclear reactor has been a challenging task since its invention. The dilemma of the thesis is to design the modern controllers for the CANDU reactor that not only provide the safe and reliable operation of the reactor but also to control the reactor fast and accurate. The Optimal PID and Fuzzy controllers are focused in this thesis. To design such controllers, the model based designed strategy has been adopted in this thesis. Therefore, a higher order model of CANDU reactor has been developed in this research work. The model is then linearized in order to design the PID controller optimized by Nelder-Mead Algorithm. A modern Fuzzy logic controller is designed using the Mamdani inference engine. Both the controllers are tested, simulated and validated for the step power change and under the reactivity disturbances. A comprehensive performance analysis is conducted and both controllers found extremely robust. (author)

2012-01-01

329

Design of Superheated Steam Temperature Control Strategy for Heat-engine Plant  

Directory of Open Access Journals (Sweden)

Full Text Available Superheated steam temperature is a very important monitoring and control parameter for Heat-engine plant, too high or too low temperature will affect the safe operation of the plant and its production efficiency. Superheated steam temperature control system generally contains nonlinearity and parameter instability nad it is difficult to build the precise mathematical model by the traditional control method such as PID, so a PID Superheated Steam Temperature Control System based on BP neural network (BP-NN is designed using the characteristic of self-learning and robustness and combining with conventional PID control algorithm. According to the changes of controlled object parameter, it can automatically adjust the PID parameters using BP neural network by itself. Simulation and actual investment of the factory test show that the designed control system is feasible and the control effect is better.

Huang Quan-Zhen

2013-01-01

330

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

1986-01-01

331

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)

2005-06-01

332

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

333

An Optimized PID Control Strategy For Active Suspensions Applied To A Half Car Model  

Directory of Open Access Journals (Sweden)

Full Text Available In this paper, we propose a new control strategy for the active control of a hydraulically controlled half-car active suspension system. Our study proposes a special construction of the suspension system where the hydraulic actuator is to be placed in series with the conventional passive one to form a special case of low-frequency active suspension. The full dynamics of the electro-hydraulic servo-valve and hydraulic actuator were employed. Response of proposed control strategy has been tested for different road profiles and riding conditions including car chassis rolling effect when cornering and pitch movements when braking/ acceleration. Results have shown superior performance of our modified controller over passive suspensions and many other controllers of previous studies. Simulations show that our proposed controller provide better passenger comfort as it lowers maximum body acceleration by 94.3% and with reduction in body travel by 98.8% of that of passive one. Also, our proposed control strategy has shown better road handling and car stability over a whole range of road and inertial disturbances.

Iyad M. Abuhadrous

2013-02-01

334

PID Switching Control for a Highway Estimation and Tracking Applied on a Convertible Mini-UAV  

Digital Repository Infrastructure Vision for European Research (DRIVER)

This paper reports current work on development and navigation control of an experimental prototype of a new tilt-rotor convertible aircraft (Quad-plane Mini Unmanned Aerial Vehicle). The goal of the work consists of estimating and tracking a road using a vision system, without any previous knowledge of the road, as well as developing an efficient controller for treat with situations when the road is not detected by the vision sensor. For dealing with this situation, we propose a switching con...

Flores, Gerardo Ramon; Carrillo, Luis-rodolfo Garcia; Sanahuja, Guillaume; Lozano, Rogelio

2012-01-01

335

A Fuzzy PID Approach for the Vibration Control of the FSPM  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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 Telesc...

Zhu-Feng Shao; Xiaoqiang Tang; Li-Ping Wang; Zheng You

2013-01-01

336

An Adaptive PID Controller for Reinforcement of Carbon Steel:Performance Analysis using MATLAB Simulink  

Science.gov (United States)

dent on the grain size and percentage of volume fraction recrystallization. In this Paper, a new approach for controlling microstructure development during hot working process by percentage of volume fraction recrystallization is proposed. Here two different methods are employed. One of the approaches is based on the Optimal Control theory and involves the developing of state space models to describe the material behavior and the mechanics of the process. This approach is applied to obtain the desired percentage of volume fraction recrystallization of '1' from an initial value of '0'. The standard Arrehenious equation of 0.3% carbon steel is utilized to obtain an optimal deformation path such that the percentage of volume fraction recrystallization should be 1. The plant model is developed and an appropriate optimality criterion is selected to maintain strain, strain rate and temperature. The state-space model together with an optimality criterion is used to control the percentage of volume fraction recrystallization using Linear Quadrat

Sumathi, Ramakrishnan; Usha, Mahalingam

2012-03-01

337

Genetic Algorithm Based PID tuning for Controlling Paraplegic Humanoid Walking Movement  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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. ...

Hashim Ali; Ikramullah; Irfan, M.; Mohsin Shahzad; Aftab, M.

2012-01-01

338

The MICE PID instrumentation system  

International Nuclear Information System (INIS)

The PID instrumentation of the MICE experiment at RAL, to be used to demonstrate muon cooling, is presented. It must provide good PID capabilities, to contribute to a high precision emittance measurement, in a harsh environment with high incoming particle rates, not-uniform fringe magnetic fields and high backgrounds. It is based mainly on a TOF system, CKOV counters and a downstream calorimeter. Design choices for the detector construction will be illustrated. The performances obtained in the first characterization of the MICE muon beamline will be presented. (author)

2010-07-22

339

Fuzzy Immune PID Control of Hydraulic System Based on PSO Algorithm  

Digital Repository Infrastructure Vision for European Research (DRIVER)

This paper takes the permanent magnet servo motor-driven hydraulic system as the research object. The hydraulic system power source uses servo motor instead of the original asynchronous motor, becoming a new energy-saving, fast response, and easy to realize closed-loop control hydraulic power systems. Aiming at variability of the load for the hydraulic system, immune algorithm is introduced to incremental P...

Ma Yu; Gu Lichen

2013-01-01

340

Fuzzy Immune PID Control of Hydraulic System Based on PSO Algorithm  

Digital Repository Infrastructure Vision for European Research (DRIVER)

This paper takes the permanent magnet servo motor-driven hydraulic system as the research object. The hydraulic system power source uses servo motor instead of the original asynchronous motor, becoming a new energy-saving, fast response, and easy to realize closed-loop control hydraulic power systems. Aiming at variability o...

Ma Yu; Gu Lichen

2013-01-01

 
 
 
 
341

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

342

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

343

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

Directory of Open Access Journals (Sweden)

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

344

Design of a DSP-based servo speed controller  

Digital Repository Infrastructure Vision for European Research (DRIVER)

The brushless servo drive is arguably the most important emerging drive category for robotics, machine tools and other applications. This places increasingly high demands on the servo motor and controller. The brushless servo drive is arguably the most important emerging drive category for robotics, machine tools and other applications. This places increasingly high demands on the servo motor and controller. Two PID design methods are studied for the speed controller, an "analog...

Lu, Jialing

1992-01-01

345

Pelvic Inflammatory Disease (PID)  

Science.gov (United States)

... can cause permanent damage to your internal organs. Scar tissue can form in the fallopian tubes and around ... is required to remove pus, get rid of scar tissue or remove damaged organs. PID is more likely ...

346

Design of Temperature Controller for Heating Furnace in Oil Field  

Science.gov (United States)

The temperature controller is an important part of the control system design of the crude oil heating furnace. the traditional PID control is usually used in temperature control, but it can not effectively overcome the impact by the interference, load change and the parameters change of system and other factors. Based on the relationship between rules factor ? and the error E , meanwhile, taking into account the change of error r rate EC, the temperature controller is designed adaptive fuzzy control with variable slope. It greatly enhances the robustness of the system. By field application, works well.

Zhenhai, Dou; Lianyun, Sun

347

A Neuro-Inspired Spike-Based PID Motor Controller for Multi-Motor Robots with Low Cost FPGAs  

Directory of Open Access Journals (Sweden)

Full Text Available 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.

Anton Civit-Balcells

2012-03-01

348

H?-Controller Design Methods Applied to One Joint of a Flexible Industrial Manipulator  

Digital Repository Infrastructure Vision for European Research (DRIVER)

Control of a flexible joint of an industrial manipulator using H? design methods is presented. The considered design methods are i) mixed-H? design, and ii) H? loop shaping design. Two different controller configurations are examined: one uses only the actuator position, while the other uses the actuator position and the acceleration of end-effector. The four resulting controllers are compared to a standard PID controller where only the actuator position is measured. The choices of the...

Axelsson, Patrik; Helmersson, Anders; Norrlo?f, Mikael

2013-01-01

349

Real time DSP-based adaptive controller implementation for 6/4 pole switched reluctance motor drive  

Digital Repository Infrastructure Vision for European Research (DRIVER)

This paper presents the design and implementation of an adaptive PID control system for a high performance Switched Reluctance Motor (SRM) drive. The concept behind the proposed control system is to use an adaptive PID controller in steady state as well as transient state, which implements the control excellently in most cases. The modality of the control for the adaptive PID controller is such that the coefficients of the controller are adaptable during the running conditions. Thus, the PID ...

2005-01-01

350

Robust control design for the plasma horizontal position control on J-TEXT Tokamak  

Energy Technology Data Exchange (ETDEWEB)

It is extremely important for tokamak to control the plasma position during routine discharge. However, the model of plasma in tokamak usually contains much of the uncertainty, such as structured uncertainties and unmodeled dynamics. Compared with the traditional PID control approach, robust control theory is more suitable to handle this problem. In the paper, we propose a H{sub ?} robust control scheme to control the horizontal position of plasma during the flat-top phase of discharge on Joint Texas Experimental Tokamak (J-TEXT) tokamak. First, the model of our plant for plasma horizontal position control is obtained from the position equilibrium equations. Then the H{sub ?} robust control framework is used to synthesize the controller. Based on this, an H{sub ?} controller is designed to minimize the regulation/tracking error. Finally, a comparison study is conducted between the optimized H{sub ?} robust controller and the traditional PID controller in simulations. The simulation results of the H{sub ?} robust controller show a significant improvement of the performance with respect to those obtained with traditional PID controller, which is currently used on our machine.

Yu, W.Z., E-mail: yuwenzhao1989@gmail.com; Chen, Z.P., E-mail: zpchen@mail.hust.edu.cn; Zhuang, G.; Wang, Z.J.

2013-11-15

351

Robust control design for the plasma horizontal position control on J-TEXT Tokamak  

International Nuclear Information System (INIS)

It is extremely important for tokamak to control the plasma position during routine discharge. However, the model of plasma in tokamak usually contains much of the uncertainty, such as structured uncertainties and unmodeled dynamics. Compared with the traditional PID control approach, robust control theory is more suitable to handle this problem. In the paper, we propose a H? robust control scheme to control the horizontal position of plasma during the flat-top phase of discharge on Joint Texas Experimental Tokamak (J-TEXT) tokamak. First, the model of our plant for plasma horizontal position control is obtained from the position equilibrium equations. Then the H? robust control framework is used to synthesize the controller. Based on this, an H? controller is designed to minimize the regulation/tracking error. Finally, a comparison study is conducted between the optimized H? robust controller and the traditional PID controller in simulations. The simulation results of the H? robust controller show a significant improvement of the performance with respect to those obtained with traditional PID controller, which is currently used on our machine

2013-11-01

352

Study on Design of Control Module and Fuzzy Control System  

International Nuclear Information System (INIS)

Performance of control unit is improved by introduction of fuzzy control theory and compensation for input of control unit as FLC(Fuzzy Logic Controller). Here, FLC drives thermal control system by linguistic rule-base. Hence, In case of using compensative PID control unit, it doesn't need to revise or compensate for PID control unit. Consequently, this study shows proof that control system which implements H/W module and then uses fuzzy algorism in this system is stable and has reliable performance

2005-05-26

353

Study on Design of Control Module and Fuzzy Control System  

Energy Technology Data Exchange (ETDEWEB)

Performance of control unit is improved by introduction of fuzzy control theory and compensation for input of control unit as FLC(Fuzzy Logic Controller). Here, FLC drives thermal control system by linguistic rule-base. Hence, In case of using compensative PID control unit, it doesn't need to revise or compensate for PID control unit. Consequently, this study shows proof that control system which implements H/W module and then uses fuzzy algorism in this system is stable and has reliable performance.

Lee, Chang Kyu; Sohn, Chang Ho; Kim, Jung Seon; Kim, Min Kyu [Samchang Enterprise Co., LTD., Seoul (Korea, Republic of)

2005-07-01

354

Nonlinear Vibration Analysis of a Rigid Rotating Shaft Supported by the Magnetic Bearing (Influence of the Integral Feedback in the PID Control of the Vertical Shaft)  

Science.gov (United States)

Active magnetic bearing (AMB) becomes to be widely used in various kinds of rotating machinery. However, as the magnetic force is nonlinear, nonlinear phenomena may occur when the rotational speed becomes higher and the delay of control force relatively increases. In this paper, the magnetic force is modeled by considering both the second order delay of the electric current and the first order delay of the magnetic flux. The AMB force is represented by a power series function of the electric current and shaft displacement. The nonlinear theoretical analysis of the vertical rigid rotor supported by the AMB with the PID control theory is demonstrated. The effects of the gain of the integral feedback on the nonlinear phenomena are clarified theoretically and experimentally.

Inoue, Tsuyoshi; Sugawara, Yasuhiko

355

Control system design guide  

Energy Technology Data Exchange (ETDEWEB)

The ''Control System Design Guide'' (Design Guide) provides methods and recommendations for the control system design process and control point selection and installation. Control systems are often the most problematic system in a building. A good design process that takes into account maintenance, operation, and commissioning can lead to a smoothly operating and efficient building. To this end, the Design Guide provides a toolbox of templates for improving control system design and specification. HVAC designers are the primary audience for the Design Guide. The control design process it presents will help produce well-designed control systems that achieve efficient and robust operation. The spreadsheet examples for control valve schedules, damper schedules, and points lists can streamline the use of the control system design concepts set forth in the Design Guide by providing convenient starting points from which designers can build. Although each reader brings their own unique questions to the text, the Design Guide contains information that designers, commissioning providers, operators, and owners will find useful.

Sellers, David; Friedman, Hannah; Haasl, Tudi; Bourassa, Norman; Piette, Mary Ann

2003-05-01

356

LQG Controller Design for Pitch Regulated Variable Speed Wind Turbine  

DEFF Research Database (Denmark)

Variable speed wind turbine is a complex and nonlinear system, sophisticated control require to meet its control objectives. This paper is presenting a pitch regulation strategy based on LQG (Linear Quadratic Gaussian) to regulate turbine at its rated power and to reject the effect of disturbance acting on its rotor blades by wind. CART2 (Control Advanced Research Turbine) linear model is produced/generated by FAST (Fatigue, Aerodynamics, Structures and Turbulence) code to test its simulation on MATLAB/Simulink and various results are compared. The designed controller provide better disturbance rejection performance as compared to PID controller.

Imran, Raja Muhammed; Hussain, Dil Muhammad Akbar

2014-01-01

357

Design of intelligent controllers for exothermal processes  

Science.gov (United States)

Chemical Industries such as resin or soap manufacturing industries have reaction systems which work with at least two chemicals. Mixing of chemicals even at room temperature can create the process of exothermic reaction. This processes produces a sudden increase of heat energy within the mixture. The quantity of heat and the dynamics of heat generation are unknown, unpredictable and time varying. Proper control of heat has to be accomplished in order to achieve a high quality of product. Uncontrolled or poorly controlled heat causes another unusable product and the process may damage materials and systems and even human being may be harmed. Controlling of heat due to exothermic reaction cannot be achieved using conventional control methods such as PID control, identification and control etc. All of the conventional methods require at least approximate mathematical model of the exothermic process. Modeling an exothermal process is yet to be properly conceived. This paper discusses a design methodology for controlling such a process. A pilot plant of a reaction system has been constructed and utilized for designing and incorporating the proposed fuzzy logic based intelligent controller. Both the conventional and then an adaptive form of fuzzy logic control were used in testing the performance. The test results ensure the effectiveness of controllers in controlling exothermic heat.

Nagarajan, Ramachandran; Yaacob, Sazali

2001-10-01

358

Tail motion model identification for control design of an unmanned helicopter  

Digital Repository Infrastructure Vision for European Research (DRIVER)

This paper explains the methodology developed to design the yaw control system (heading control system) of the ?-SAC UAV. The problem of modeling and controlling the tail motion of this UAV along a desired trajectory is considered. First, the response data of the system are collected during special flight test and a linear time invariant model is extracted by identification techniques. Then, the control system is designed and implemented using a PID feedback/feedforward control method. The t...

Morcego Seix, Bernardo; Saldi?var, Eleazar; Nejjari Akhi-elarab, Fatiha

2011-01-01

359

å?·å?ï½¼ï½½ï¾?ï¾?のï¾?ï¾?ï¾?ï¾?ヘï¾?ï½°ï½½ï¾?å?¶å¾¡è¨­è¨?æ??è¡?のé??ç?º : (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

360

Recursive Deadbeat Controller Design  

Science.gov (United States)

This paper presents a recursive algorithm for a deadbeat predictive controller design. The method combines together the concepts of system identification and deadbeat controller designs. It starts with the multi-step output prediction equation and derives the control force in terms of past input and output time histories. The formulation thus derived satisfies simultaneously system identification and deadbeat controller design requirements. As soon as the coefficient matrices are identified satisfying the output prediction equation, no further work is required to compute the deadbeat control gain matrices. The method can be implemented recursively just as any typical recursive system identification techniques.

Juang, Jer-Nan; Phan, Minh Q.

1997-01-01

 
 
 
 
361

Design of controller for control rod of research reactors  

International Nuclear Information System (INIS)

Designing and testing digital control system for any nuclear research reactor can be costly and time consuming. In this thesis, a rapid, low-cost proto typing and testing procedure for digital controller design is proposed using the concept of Hardware-In-The-Loop (HIL). Some of the control loop components are real hardware components and the others are simulated. First, the whole system is modeled and tested by Real-Time Simulation (RTS) using conventional simulation techniques such as MATLAB / SIMULINK. Second the Hardware-in-the-loop simulation is tested using Real-Time Windows Target in MATLAB and Visual C++. The control parts are included as hardware components which are the reactor control rod and its drivers. Three kinds of controllers are studied, Proportional-Derivative (PD), Proportional-Integral-Derivative (PID) and Fuzzy controller. An experimental setup for the hardware used in HIL concept for the control of the nuclear research reactor has been realized. Experimental results are obtained and compared with the simulation results. The experimental results indicate the validation of HIL method in this domain.

2008-01-01

362

Chaotic multi-objective optimization based design of fractional order PI{\\lambda}D{\\mu} controller in AVR system  

CERN Document Server

In this paper, a fractional order (FO) PI{\\lambda}D\\mu controller is designed to take care of various contradictory objective functions for an Automatic Voltage Regulator (AVR) system. An improved evolutionary Non-dominated Sorting Genetic Algorithm II (NSGA II), which is augmented with a chaotic map for greater effectiveness, is used for the multi-objective optimization problem. The Pareto fronts showing the trade-off between different design criteria are obtained for the PI{\\lambda}D\\mu and PID controller. A comparative analysis is done with respect to the standard PID controller to demonstrate the merits and demerits of the fractional order PI{\\lambda}D\\mu controller.

Pan, Indranil

2012-01-01

363

Designing an Energy Storage System Fuzzy PID Controller for Microgrid Islanded Operation  

Digital Repository Infrastructure Vision for European Research (DRIVER)

Recently, interest in microgrids, which are composed of distributed generation (DG), distributed storage (DS), and loads, has been growing as a potentially effective clean energy system to mitigate against climate change. The microgrid is operated in the grid-connected mode and the islanded mode according to the conditions of the upstream power grid. The role of the energy storage system (ESS) is especially important to maintain constant the frequency and voltage of an islanded microgrid. For...

2011-01-01

364

A Neuro-Inspired Spike-Based PID Motor Controller for Multi-Motor Robots with Low Cost FPGAs  

Digital Repository Infrastructure Vision for European Research (DRIVER)

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 s...

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

2012-01-01

365

RUPERT closed loop control design.  

Science.gov (United States)

Rehabilitation robotics is an active area of research in the field of stroke rehabilitation. There is significant potential for improving the current physical rehabilitation methods after stroke through the use of robotic devices. RUPERT is a wearable robotic exoskeleton powered by pneumatic muscle actuators. An adaptive robot control strategy combining a PID-based feedback controller and an Iterative Learning Controller (ILC) is proposed for performing passive reaching tasks. Additionally, a fuzzy rule-base for estimating the learning rate for the ILC is also proposed. The proposed control scheme has the ability to adapt to different subject for performing different reaching tasks. The preliminary results from two able-bodied subjects demonstrate that the proposed controller can provide consistent performance for different subjects performing different reaching tasks. PMID:19163455

Balasubramanian, Sivakumar; Wei, Ruihua; He, Jiping

2008-01-01

366

Individualized PID Control of Depth of Anesthesia Based on Patient Model Identification During the Induction Phase of Anesthesia  

Digital Repository Infrastructure Vision for European Research (DRIVER)

This paper proposes a closed-loop propofol admission strategy for depth of hypnosis control in anesthesia. A population-based, robustly tuned controller brings the patient to a desired level of hypnosis. The novelty lies in individualizing the controller once a stable level of hypnosis is reached. This is based on the identified patient parameters and enhances suppression of output disturbances, representing surgical stimuli. The system was evaluated in simulation on models of 44 patients obt...

2011-01-01

367

Design and robust tuning of control scheme based on the PD controller plus Disturbance Observer and low-order integrating first-order plus dead-time model.  

Science.gov (United States)

This paper presents an effective design and robust tuning method for the control structure based on a series PD controller and a simple Disturbance Observer. All elements of the proposed controller are directly obtained from the low-order Integrating First-Order Plus Dead-Time (IFOPDT) model, used to approximate essential dynamic characteristics of lag-dominant stable, integrating and unstable plants. The structure of the proposed controller is an effective, easy to implement and tune, extension of the series PID controller. For the same robustness, a better disturbance rejection response is obtained by the proposed controller than that of the PID, by adjusting only two parameters with a clear meaning. A comparison with well-tuned PIDs, done by simulations, and the experimental results, obtained on a real thermal power plant, confirm that high performance and robustness are obtained, for dynamic characteristics common to industrial processes. PMID:19586624

Matausek, M R; Ribi?, A I

2009-10-01

368

Control system design method  

Energy Technology Data Exchange (ETDEWEB)

A control system design method and concomitant control system comprising representing a physical apparatus to be controlled as a Hamiltonian system, determining elements of the Hamiltonian system representation which are power generators, power dissipators, and power storage devices, analyzing stability and performance of the Hamiltonian system based on the results of the determining step and determining necessary and sufficient conditions for stability of the Hamiltonian system, creating a stable control system based on the results of the analyzing step, and employing the resulting control system to control the physical apparatus.

Wilson, David G. (Tijeras, NM); Robinett, III, Rush D. (Tijeras, NM)

2012-02-21

369

Genetic Algorithm Based Improved Sub-Optimal Model Reduction in Nyquist Plane for Optimal Tuning Rule Extraction of PID and PI{\\lambda}D{\\mu} Controllers via Genetic Programming  

CERN Multimedia

Genetic Algorithm (GA) has been used in this paper for a new Nyquist based sub-optimal model reduction and optimal time domain tuning of PID and fractional order (FO) PI{\\lambda}D{\\mu} controllers. Comparative studies show that the new model reduction technique outperforms the conventional H2-norm based reduced order modeling techniques. Optimum tuning rule has been developed next with a test-bench of higher order processes via Genetic Programming (GP) with minimum value of weighted integral error index and control signal. From the Pareto optimal front which is a trade-off between the complexity of the formulae and control performance, an efficient set of tuning rules has been generated for time domain optimal PID and PI{\\lambda}D{\\mu} controllers.

Das, Saptarshi; Das, Shantanu; Gupta, Amitava; 10.1109/PACC.2011.5978962

2012-01-01

370

Information | Free Full-Text | Multivariable PID Decoupling Control Method of Electroslag Remelting Process Based on Improved Particle Swarm Optimiza  

...A mathematical model of electroslag remelting (ESR) process is established based on its technical features and dynamic characteristics. A new multivariable self-tuning ...swarm optimization (IPSO) algorithm is proposed to control the two-input/two-output (TITO) ESR process. An adaptive chaotic migration mutation operator is used to ... A mathematical model of electroslag remelting (ESR) process is established based on its technical features and dynamic characteristics. A new multivariable ...swarm optimization (IPSO) algorithm is proposed to control the two-input/two-output (TITO) ESR process. An adaptive chaotic migration mutation operator is used to ...

371

Fuzzy control of pressurizer dynamic process  

International Nuclear Information System (INIS)

Considering the characteristics of pressurizer dynamic process, the fuzzy control system that takes the advantages of both fuzzy controller and PID controller is designed for the dynamic process in pressurizer. The simulation results illustrate this type of composite control system is with better qualities than those of single fuzzy controller and single PID controller. (authors)

2006-06-01

372

Performance Enhancement of PID Tuning of DC Servomotor using Metaheuristic Algorithm  

Directory of Open Access Journals (Sweden)

Full Text Available The use of DC servomotor in automated systems is common nowadays in various applications. Specifically, DC servomotors have played a vital role in the development of surface mount technology (SMT placement machines that have the ability to quickly place components onto the printed circuit boards (PCBs. The design of controllers for DC servomotors has increasingly become an interesting area for researchers from all over the world. Although the Proportional-Integral-Derivative (PID controller is regarded as the workhorse of the control industry and it is used for DC servomotor, one of its main short-comings is that there is no efficient tuning method. This paper discusses the development of an algorithm that improves the performance of PID tuning based on Metaheuristic Algorithm; particularly, the Inertia Weight Particle Swarm Optimization (iw-PSO algorithm. The research findings show the effectiveness of the PSO algorithm compared with the conventional PID controller. Overall, the iw-PSO-PID successfully eliminated the overshoot and at the same time produced faster response. Furthermore, it was able to control the convergence by indicating smaller value of MSE.

M. Gunalan, I. Elamvazuthi*, NH. Hamid , T. Ganesan

2014-07-01

373

Hardware/Software Co-design Approach for an ADALINE Based Adaptive Control System  

Digital Repository Infrastructure Vision for European Research (DRIVER)

In this paper, we report some results on hardware and software co-design of an adaptive linear neuron (ADALINE) based control system. A discrete-time Proportional- Integral-Derivative (PID) controller is designed based on the math...

Shouling He; Xuping Xu

2008-01-01

374

ROBUST TEMPERATURE CONTROLLER DESIGN FOR A CHEMICAL PROCESS  

Directory of Open Access Journals (Sweden)

Full Text Available This paper attempts to tuning out a new PID control strategy to provide Robust Control for a Chemical process. Chemical process control is a challenging problem due to the strong on-line non-linearity and extreme sensitivity to disturbances of the process. The proposed method has the advantage that it takes into account all the parameters variations associated with the process. The variations in the process parameters are modeled as a gaussian noise and an adaptive gaussian filter is placed in the feedback path. The adaptivegaussian filter in the feedback path adapts its filter coefficients based on a kalman estimation algorithm. This adaptive filter adapts so as to maintain the mean square error a minimum. The LQG (Linear Quadratic Gaussian in Robust Control is used in designing of the proposed strategy. The analysis of a PID tuning [7] strategy and the necessity of such an adaptive strategy is also explored in this paper. The proposed strategy of Robust Control has been designed for a First Order Lag Plus Delay (FOLPD process. The proposed strategy ofRobust Control has been simulated for an FOLPD process in SIMULINK.

G.Glan Devadhas

2010-10-01

375

Genetic Algorithm Based Improved Sub-Optimal Model Reduction in Nyquist Plane for Optimal Tuning Rule Extraction of PID and PI{\\lambda}D{\\mu} Controllers via Genetic Programming  

Digital Repository Infrastructure Vision for European Research (DRIVER)

Genetic Algorithm (GA) has been used in this paper for a new Nyquist based sub-optimal model reduction and optimal time domain tuning of PID and fractional order (FO) PI{\\lambda}D{\\mu} controllers. Comparative studies show that the new model reduction technique outperforms the conventional H2-norm based reduced order modeling techniques. Optimum tuning rule has been developed next with a test-bench of higher order processes via Genetic Programming (GP) with minimum value of ...

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

2012-01-01

376

Adaptive Fuzzy Control Design  

Directory of Open Access Journals (Sweden)

Full Text Available An application of fuzzy systems to nonlinear system adaptive control design isproposed in this paper. The fuzzy system is constructed to approximate the nonlinearsystem dynamics. Based on this fuzzy approximation suitable adaptive control laws andappropriate parameter update algorithms for nonlinear uncertain (or unknown systemsare developed to achieve H? tracking performance. It is shown that the effects ofapproximation errors and external disturbance can be attenuated to a specific attenuationlevel using the proposed adaptive fuzzy control scheme. The nonlinear gradient lawguarantees the convergence of the training algorithm.

Martin Kratmüller

2009-12-01

377

Pelvic Inflammatory Disease (PID) Treatment  

Science.gov (United States)

... PID) Treatment Guidelines, Research, & Updates Doxycycline and Tetracycline Shortage Update (March 1, 2013) Update to CDC’s Sexually ... damage that has already occurred to the reproductive organs. If a woman has pelvic pain and other ...

378

PID: the Pathway Interaction Database  

Digital Repository Infrastructure Vision for European Research (DRIVER)

The Pathway Interaction Database (PID, http://pid.nci.nih.gov) is a freely available collection of curated and peer-reviewed pathways composed of human molecular signaling and regulatory events and key cellular processes. Created in a collaboration between the US National Cancer Institute and Nature Publishing Group, the database serves as a research tool for the cancer research community and others interested in cellular pathways, such as neuroscientists, developmental biologists and immunol...

Schaefer, Carl F.; Anthony, Kira; Krupa, Shiva; Buchoff, Jeffrey; Day, Matthew; Hannay, Timo; Buetow, Kenneth H.

2009-01-01

379

PID Parameters Optimization by Using Genetic Algorithm  

CERN Document Server

Time delays are components that make time-lag in systems response. They arise in physical, chemical, biological and economic systems, as well as in the process of measurement and computation. In this work, we implement Genetic Algorithm (GA) in determining PID controller parameters to compensate the delay in First Order Lag plus Time Delay (FOLPD) and compare the results with Iterative Method and Ziegler-Nichols rule results.

Mirzal, Andri; Furukawa, Masashi

2012-01-01

380

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

Digital Repository Infrastructure Vision for European Research (DRIVER)

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 cont...

2011-01-01

 
 
 
 
381

Design of a synchronization control system for lithography based on repetitive control method  

Science.gov (United States)

A repetitive control theory is proposed to solve the synchronization problem between the wafer stage and reticle stage. A macro-micro control method is used based on a macro-micro control structure in which a linear motor is combined with a voice coil motor. A synchronization controller of the reticle stage is added base on the conventional PID control system. The repetitive controller is designed based on the repeated movement of the reticle stage and the wafer stage during the scan and exposure period, and the effects of synchronization control system can be improved because of the repetitive control can effectively track and inhibit the periodicity excitation signal. The repetitive control system effectively reduces the synchronization error during the scan and exposure period?in the meanwhile keep the tracking accuracy and dynamic characters. Simulation results show that the synchronization error can be reduced effectively.

Hao, Zhongyang; Peng, Guiyong; Li, Xin; Chen, Xinglin

2013-01-01

382

Design of temperature control system for perfusion hyperthermia based on MCU and FPGA  

Science.gov (United States)

There are problems of poor characteristics on control and operation for existed hyperthermia equipment. This paper designs a temperature control system for the perfusion hyperthermia equipment. In this system, LCD and touch keys are used as the man-machine interface, and C8051F020 is used as main control, FPGA is used as main high speed memory, using gray forecast fuzzy PID control algorithm. And the equipment can realize control accuracy of 43+/-0.2 degree Celsius. This paper introduces the design of hardware and software of the temperature control for the hyperthermia equipment.

Chen, Lingcong; Zhu, Jianmin; Zhang, Xiaolan; Wang, Zhongyu

2008-11-01

383

Modeling and Controller Design of an Electro-Hydraulic Actuator System  

Directory of Open Access Journals (Sweden)

Full Text Available Problem statement: Electro-hydraulic actuators are widely used in motion control application. Its valve needs to be controlled to determine direction of the motion. Mathematical modeling is a description of a system in terms of equations. It can be divided into two parts; physical modeling and system identification. The objective of this study was to obtain mathematical model of an electro-hydraulic system using system identification technique by estimating model using System Identification Toolbox in MATLAB. Approach: Experimental works were done to collect input and output data for model estimation and ARX model was chosen as model structure of the system. The best model was accepted based on the best fit criterion and residuals analysis of autocorrelation and cross correlation of the system input and output. PID controller was designed for the model through simulation in SIMULINK. The controller is tuning by Ziegler-Nichols method. The simulation work was verified by applying the controller to the real system to achieve the best performance of the system. Results: The result showed that the output of the system with controller in simulation mode and experimental works were improved and almost similar. Conclusion/Recommendations: The designed PID controller can be applied to the electro-hydraulic system either in simulation or real-time mode. The self-tuning or automatic tuning controller could be developed in future work to increase the reliability of the PID controller.

M. F. Rahmat

2010-01-01

384

Design and Implementation of a Fuzzy Logic Controller for Synchronous Generator  

Digital Repository Infrastructure Vision for European Research (DRIVER)

The electrical power generation and distribution in power plant suffers from so many problems, such as instability of demand and generation. These lead to increase of generation cost. In this study, self-tuning fuzzy PID controller is developed to improve the performance of automated voltage regulation of a synchronous generator. The controller is designed based on the mathematical model of the system, which is estimated by using system identification technique. Simulation was carried out usi...

2012-01-01

385

Practical Loop-Shaping Design of Feedback Control Systems  

Science.gov (United States)

An improved methodology for designing feedback control systems has been developed based on systematically shaping the loop gain of the system to meet performance requirements such as stability margins, disturbance attenuation, and transient response, while taking into account the actuation system limitations such as actuation rates and range. Loop-shaping for controls design is not new, but past techniques do not directly address how to systematically design the controller to maximize its performance. As a result, classical feedback control systems are designed predominantly using ad hoc control design approaches such as proportional integral derivative (PID), normally satisfied when a workable solution is achieved, without a good understanding of how to maximize the effectiveness of the control design in terms of competing performance requirements, in relation to the limitations of the plant design. The conception of this improved methodology was motivated by challenges in designing control systems of the types needed for supersonic propulsion. But the methodology is generally applicable to any classical control-system design where the transfer function of the plant is known or can be evaluated. In the case of a supersonic aerospace vehicle, a major challenge is to design the system to attenuate anticipated external and internal disturbances, using such actuators as fuel injectors and valves, bypass doors, and ramps, all of which are subject to limitations in actuator response, rates, and ranges. Also, for supersonic vehicles, with long slim type of structures, coupling between the engine and the structural dynamics can produce undesirable effects that could adversely affect vehicle stability and ride quality. In order to design distributed controls that can suppress these potential adverse effects, within the full capabilities of the actuation system, it is important to employ a systematic control design methodology such as this that can maximize the effectiveness of the control design in a methodical and quantifiable way. The emphasis is in generating simple but rather powerful design techniques that will allow even designers with a layman s knowledge in controls to develop effective feedback control designs. Unlike conventional ad hoc methodologies of feedback control design, in this approach actuator rates are incorporated into the design right from the start: The relation between actuator speeds and the desired control bandwidth of the system is established explicitly. The technique developed is demonstrated via design examples in a step-by-step tutorial way. Given the actuation system rates and range limits together with design specifications in terms of stability margins, disturbance rejection, and transient response, the procedure involves designing the feedback loop gain to meet the requirements and maximizing the control system effectiveness, without exceeding the actuation system limits and saturating the controller. Then knowing the plant transfer function, the procedure involves designing the controller so that the controller transfer function together with the plant transfer function equate to the designed loop gain. The technique also shows what the limitations of the controller design are and how to trade competing design requirements such as stability margins and disturbance rejection. Finally, the technique is contrasted against other more familiar control design techniques, like PID control, to show its advantages.

Kopasakis, George

2010-01-01

386

Architectures of Computational Verb Controllers: Towards a New Paradigm of Intelligent Control  

Digital Repository Infrastructure Vision for European Research (DRIVER)

There are at least two kinds of methods of designing(computational) verb proportional-integral-derivative(PID) controllers.The first one is to generalize fuzzy PID controllersby substituting “BE” in fuzzy control rules with non-staticcomputational verbs. The second one is to directly constructevolving functions of verbs in human experiences of dynamicprocesses. These methods will lead to different architectures ofverb PID controllers because computational verb theory can beused in differe...

2005-01-01

387

COMPARATIVEANALYSIS OF ADVANCED CONTROLLERS IN A HEAT EXCHANGER  

Directory of Open Access Journals (Sweden)

Full Text Available Temperature control of the shell and tube heat exchanger is characteristics of nonlinear, time varying and time lag. Since the temperature control with conventional PID controller cannot meet a wide range of precision temperature control requirement, we design temperature control system of the shell and tube heat exchanger by combining fuzzy and PID control methods in this paper. The simulation and experiments are carried out; making a comparison with conventional PID control showing that fuzzy PID strategy can efficiently improve the performance of the shell and tube heat exchanger.

Mr. P.Sivakumar

2013-01-01

388

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

Digital Repository Infrastructure Vision for European Research (DRIVER)

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 prima...

2008-01-01

389

Sistem Pengendalian Web Tension Menggunakan Kontroler Robust PID  

Directory of Open Access Journals (Sweden)

Full Text Available Roll winder system consist of rewinder roll and unwinder roll. Paper tension at coating process must be maintained at proper tension. If the tension is too low, it will make the paper roll too loose and in another hand if the tension is too tight, it could cause web paper break. PID controller is the common controller because of high reliability and easy to use and easy to maintain. Winder control system required smooth response, fast response and error steady state free. So, PID controller must tune well. One of tuning method is PID robust tuning. PID robust tuning has Integral Time Absolute Error (ITAE, maximum overshoot, settling time and error steady state low relatively. Abstract in Bahasa Indonesia : Sistem mekanik rol winder terdiri dari dua rol yang mempunyai fungsi yang berlainan, yaitu rol rewinder yang berfungsi sebagai penarik kertas dan rol unwinder berfungsi sebagai pengulur kertas. Pada saat proses coating berlangsung tekanan permukaan kertas antara rol winder dan lead roll dijaga kondisinya agar tidak terjadi perubahan tension yang dapat menyebabkan permukaan kertas terlalu kencang atau terlalu kendor. Tegangan permukaan kertas yang terlalu kendor dapat menyebabkan variasi ketebalan gulungan akhir proses coating tidak seragam, sedangkan jika terlalu kencang kertas akan putus sehingga proses coating dapat terhenti. Pengendalian tegangan permukaan kertas ini biasa disebut web tension control. Pengendali yang dipakai dalam pengendalian ini adalah pengendali PID yang sudah lazim digunakan di industri karena kehandalan dan kemudahannya. Namun performansi pada unit winder mensyaratkan pengendalian yang smooth, respon relatif cepat dan steady state error yang sesuai, sehingga perlu dipilih tuning yang paling tepat untuk aplikasi ini dengan memperhatikan settling time open loop dan frekuensi natural yang diinginkan dari lembar kertas. Salah satu tuning yang tepat untuk diaplikasikan adalah tuning robust PID yang mempunyai performansi secara kuantitas (ditunjukkan dari besar Integral Time Absolute Error (ITAE yang kecil dan secara kualitas (maksimum overshoot yang kecil, settling time yang kecil dan error steady state yang kecil pula Kata kunci: Web tension control, unit winder, robust PID.

Totok R. Biyanto

2005-01-01

390

Controller design for interval plants  

International Nuclear Information System (INIS)

We make use of celebrated Kharitoniv theorem to come up with a design procedure for the stabilization of uncertain systems in the parameters using low order controllers. The proposed design is based on classical design methods. A Non-linear programming (NLP) approach for the design of higher order controllers is also presented. We present our results and give illustrating examples. (author)

2003-01-01

391

Digital Linear and Nonlinear Controllers for Buck Converter  

Digital Repository Infrastructure Vision for European Research (DRIVER)

Both linear PID controllers and fuzzy controllers are designed and implemented for a buck converter. Comparison between the two controllers is made in the aspect of design, implementation and experimental results. Design of fuzzy controllers is based on heuristic knowledge of the converter and tuned using trial and error, while the design of linear PID and PI controllers is based on the frequency response of the buck converter. Implementation of linear controllers is quite straightforward, wh...

2012-01-01

392

FPGA-BASED CONTROL OF THERMOELECTRIC COOLERS FOR LASER DIODE TEMPERATURE REGULATION  

Directory of Open Access Journals (Sweden)

Full Text Available The proportional-integral-derivative (PID controller is the most used controller in the industry. Field programmable gate arrays (FPGAs allow efficient implementation of PID controllers. This paper presents the temperature regulation of a 48W laser diode through thermoelectric coolers (TECs. The temperature regulation system is designed and tested. The results demonstrate the feasibility and applicability of PID control through FPGA.

AHTESHAM ALI

2012-04-01

393

System design of a reference model adaptive control for radial plasma position on HL-2A tokamak  

International Nuclear Information System (INIS)

The design of the control system for radial plasma position on HL-2A based on model reference adaptive control (MRAC) principle is presented in this paper. The simulated results show that it can be used to improve the performance of the system greatly. Compared with the classical PID control system, it has obvious advantages in the better dynamic response, the smaller quantity of calculation and the better robustness. (authors)

2004-06-01

394

Stability of Retarded/Neutral System with State-PID Feedback Using Lienard-Chipart Stability Criterion  

Digital Repository Infrastructure Vision for European Research (DRIVER)

A retarded/neutral system is sensitive to instability due to delay. A knowledge of maximum allowable delay (?) or tolerable delay is thus useful for controller design and stabilization. This article proposes a method to compute a tolerable delay time for a Linear-Time-Invariant-Time-Delayed-System (LTITDS) with state-PID feedback control. The method proposed is based-on Lienard-Chipart criterion, which reduces the number of determinants to be evaluated. The proposed approach is compared with...

2012-01-01

395

Hardware Implementation of Model Predictive Control Based Fuzzy Logic Controller for Temperature Process Station  

Digital Repository Infrastructure Vision for European Research (DRIVER)

In this paper, Model based Predictive Control (MPC) and fuzzy logic controller (FLC) for temperature process station was proposed. This controller design gives an optimum performance even under process disturbances. Conventional controllers like P, PI, and PID controllers fail to control the process effectively under disturbances, conventionally accurate model of the process and complex algorithms are needed to design the self tuning of PID controller. Here an attempt was made to implement MP...

2013-01-01

396

Design of Synthetic Optimizing Neuro Fuzzy Temperature Controller for Dual Screw Profile Plastic Extruder Using Labview  

Directory of Open Access Journals (Sweden)

Full Text Available Problem statement: The temperature control in plastic extrusion machine is an important factor to produce high quality plastic products. The first order temperature control system in plastic extrusion comprises of coupling effects, long delay time and large time constants. Controlling temperature is very difficult as the process is multistage process and the system coupled with each other. In order to conquer this problem the system is premeditated with neuro fuzzy controller using LabVIEW. Approach: The existing technique involved is conventional PID controller, Neural controller, mamdani type Fuzzy Logic Controller and the proposed method is neuro fuzzy controller. Results: Manifest feature of the proposed method is smoothing of undesired control signal of conventional PID, neural controller and mamdani type FLC controller. The software incorporated the LabVIEW graphical programming language and MATLAB toolbox were used to design temperature control in plastic extrusion system. Hence neuro fuzzy controller is most powerful approach to retrieve the adaptiveness in the case of nonlinear system. Conclusion: The tuning of the controller was synchronized with the controlled variable and allowing the process at its desired operating condition. The results indicated that the use of proposed controller improve the process in terms of time domain specification, set point tracking and also reject disturbances with optimum stability.

Ravi Samikannu

2011-01-01

397

Design and Simulation of Control Systems for a Field Survey Mobile Robot Platform  

Directory of Open Access Journals (Sweden)

Full Text Available The aim of this study was to design automatic and accurate control systems for wheel speed and steering of an agricultural mobile robot. Three controllers, including lead-lag compensator, Proportional-Integral-Derivative (PID and fuzzy logic controller were designed and simulated in this study to control the angular rate of the shaft of a DC motor actuator for a field survey mobile robot that moves between plants rows to perform image acquisition task through a digital camera mounted on a two link arm attached on the robot base. The response of the actuator model for each controller were determined and compared for a sinusoidal and a step input that simulated robot speed and positioning references respectively. Performance analysis showed the effectiveness of the PID and lead-lag compensator response for the wheel steering task, while the fuzzy logic controller design had a better performance in wheel speed control. The output of this analysis was a proved satisfaction of the proposed design criteria which results enhanced mobility of the robot in terms of fast response, speed control accuracy and smooth steering at row-end turnings.

Ramin Shamshiri

2013-08-01

398

Universal Controller Design Using Arm Controller  

Directory of Open Access Journals (Sweden)

Full Text Available In this paper, different control strategies are discussed and design of universal (process controller on ARM embedded platform is proposed. The same controller support feedback, cascade, ratio and feed forward control strategy. The LPC2148 kit (ARM7 controller is used for the application which has many features which are also discussed in the paper.MODBUS RTU protocol is used for communication.GUI is developed in Wonderware In touch (SCADA software. Keil µvision 4 IDE is used for programming ARM controller

Mohsin A. Bandi, Mr. Naimesh B. Mehta

2012-04-01

399

DESIGN OF A CONTROL SYSTEM TO ENHANCE PROCESS PERFOMANCE IN THE PRODUCTION OF SORGHUM BEER  

Directory of Open Access Journals (Sweden)

Full Text Available Breweries in Zimbabwe use limited or no control systems at all. The aim of this study was to design a control system for monitoring and controlling mashing and cooling processes during production of a sorghum beer brewing. The design of the control circuit was done using sensors and controllers. For temperature control a PID controller was used. The system was able to raise the temperature of the mash to 50°C for 50 minutes for hydrolysis of protein, ? glucons and pentasons by proteolic enzymes. The temperature was then raised to 80°C and maintained constant for 10 minutes for optimal activity of ?-amylase. It was then raised to 95°C for the optimal activity of ?- amylase. Finally, the temperature was raised to 100°C and was held constant for 60 minutes for enzyme inactivation. The control system designed in this study enhanced the process performance in the brewing of a sorghum beer.

CATHERINE MAWARE

2013-06-01

400

Model validation and higher order sliding mode controller design for a research reactor  

International Nuclear Information System (INIS)

The paper pertains to model validation and novel higher order sliding mode controller design for a nuclear research reactor. Sliding mode controllers for nuclear reactors were reported before but higher order sliding mode controllers have added advantage of reduced chattering. As a first step of model development a simulation model of control rod drive mechanism (CRDM) has been developed using SIMULINK. This model has been validated with a lab based CRDM model, which is similar to Pakistan Research Reactor-1 (PARR-1) CRDM system. The nonlinear model of PARR-1 has been tuned and validated with experimental data. This model has been subsequently used for higher order sliding mode controller design and performance evaluation. Certain parameter values have also been recalculated to ensure model accuracy. Based on the validated model a robust nonlinear controller for controlling output power by manipulating control rod position has been developed and simulated. The new controller showed improved performance as compared to the classical PID controller

2009-01-01

 
 
 
 
401

Model validation and higher order sliding mode controller design for a research reactor  

Energy Technology Data Exchange (ETDEWEB)

The paper pertains to model validation and novel higher order sliding mode controller design for a nuclear research reactor. Sliding mode controllers for nuclear reactors were reported before but higher order sliding mode controllers have added advantage of reduced chattering. As a first step of model development a simulation model of control rod drive mechanism (CRDM) has been developed using SIMULINK. This model has been validated with a lab based CRDM model, which is similar to Pakistan Research Reactor-1 (PARR-1) CRDM system. The nonlinear model of PARR-1 has been tuned and validated with experimental data. This model has been subsequently used for higher order sliding mode controller design and performance evaluation. Certain parameter values have also been recalculated to ensure model accuracy. Based on the validated model a robust nonlinear controller for controlling output power by manipulating control rod position has been developed and simulated. The new controller showed improved performance as compared to the classical PID controller.

Qaiser, S.H. [Center for Advanced Studies in Engineering, 19 Ataturk Avenue, Islamabad (Pakistan); Bhatti, A.I. [Mohammad Ali Jinnah University, Islamabad (Pakistan); Iqbal, Masood [Nuclear Engineering Division, Pakistan Institute of Nuclear Science and Technology, P.O. Nilore, Islamabad (Pakistan)], E-mail: masiqbal@hotmail.com; Samar, R. [Mohammad Ali Jinnah University, Islamabad (Pakistan); Qadir, J. [Nuclear Engineering Division, Pakistan Institute of Nuclear Science and Technology, P.O. Nilore, Islamabad (Pakistan)

2009-01-15

402

PID Performance in the LHCb High Level Trigger  

CERN Document Server

The LHCb High Level Trigger (HLT) incorporates RICH particle identification (PID) calculations that are designed to be faster than those used for the offline reconstruction, which is necessary due to the timing constraints imposed on the HLT. The performance of this faster calculation has been evaluated using $B^+ \\to \\overline{D}^0\\pi^+$ events recorded during 2011 data taking and compared against the performance of the offline calculation. The time taken to calculate PID information in the HLT has been measured both for the configuration used in Run 1, and for configurations approaching that used offline. Similar overall efficiency and misidentification performance is seen in the configurations used offline and in the HLT, though the raw values of PID variables can differ substantially for a given candidate.

Benson, S

2014-01-01

403

Robust control design with MATLAB  

CERN Document Server

Robust Control Design with MATLAB® (second edition) helps the student to learn how to use well-developed advanced robust control design methods in practical cases. To this end, several realistic control design examples from teaching-laboratory experiments, such as a two-wheeled, self-balancing robot, to complex systems like a flexible-link manipulator are given detailed presentation. All of these exercises are conducted using MATLAB® Robust Control Toolbox 3, Control System Toolbox and Simulink®. By sharing their experiences in industrial cases with minimum recourse to complicated theories and formulae, the authors convey essential ideas and useful insights into robust industrial control systems design using major H-infinity optimization and related methods allowing readers quickly to move on with their own challenges. The hands-on tutorial style of this text rests on an abundance of examples and features for the second edition: ·        rewritten and simplified presentation of theoretical and meth...

Gu, Da-Wei; Konstantinov, Mihail M

2013-01-01

404

Application of a new type fuzzy controller in power control system for nuclear reactors  

International Nuclear Information System (INIS)

The paper introduces a new type general fuzzy controller, and its application in the design of a small research reactor power control system. The algorithm formula covers all regulating means of the old-time fuzzy controller. The paper compares it with the conventional PID controller. Simulation results with a new type fuzzy controller and with a conventional PID controller show that the new type fuzzy control system has greatly improved the performance of reactor power control system, and its disturbance resistance is better than that of common PID controller. (authors)

2008-10-01

405

Neuro-fuzzy Control of Integrating Processes  

Directory of Open Access Journals (Sweden)

Full Text Available Fuzzy technology is adaptive and easily applicable in different areas.Fuzzy logic provides powerful tools to capture the perceptionof natural phenomena. The paper deals with tuning of neuro-fuzzy controllers for integrating plant and for integrating plantswith time delay. The designed approach is verified on three examples by simulations and compared plants with classical PID control.Designed fuzzy controllers lead to better closed-loop control responses then classical PID controllers.

Anna Vasi?kaninová

2011-11-01

406

Automatic Weight Selection Algorithm for Designing H Infinity controller for Active Magnetic Bearing  

Directory of Open Access Journals (Sweden)

Full Text Available In recent times active magnetic bearing has got wide acceptance in industries and other special systems. Current researches focus on improving the disturbance rejection properties of magnetic bearings towork well in industrial environment. So far many controllers have been developed to control the system, of which the H? controller is found to guarantee robustness and performance. In this paper an automatic weight selection algorithm is proposed to design robust H Infinity controller automatically for active magnetic bearing system and detailed disturbance analysis is done. This paper focuses on the controller implementation point of view and analyses the variation in control current, peak responses and steady state error of the developed controller. Comparison with a well tuned PID controller shows the efficacy of H infinity controller designed using the proposed algorithm.

Sarath S Nair

2011-01-01

407

Alternative to adjust the rule base on rule based controllers  

Digital Repository Infrastructure Vision for European Research (DRIVER)

This paper describes a method to find a rule-base to be used on a rule based adaptive PID controller. A rule base is achieved by means of a direct method of fuzzy modelling by Takagi and Sugeno procedure by mapping a conventional virtual PID achieved by classical autotuning methods. The method proposed is an alternative method in designing neuro-fuzzy controllers

Ferreiro Garci?a, Ramo?n; Pardo Marti?nez, Xoa?n Carlos; Vidal Paz, Jose?

2000-01-01

408