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1

PSO optimized reduced order PID Controller design

Directory of Open Access Journals (Sweden)

Full Text Available A novel algorithm is proposed to obtain a reduced model for stable linear time invariant continuous system. A PSO PID controller is designed for the reduced order model to meet the desired performance specifications by using PSO Optimization method. This controller is designed with the reduced order model and closed loop response is observed .The parameters of the controller are tuned to obtain a response with desired performance specifications .The results satisfy our design criteria .The same PID controller parameter is applied to original higher order system and the closed loop response is observed for to stabilize system.

Yogendra Kumar Soni

2013-03-01

2

PSO optimized reduced order PID Controller design

A novel algorithm is proposed to obtain a reduced model for stable linear time invariant continuous system. A PSO PID controller is designed for the reduced order model to meet the desired performance specifications by using PSO Optimization method. This controller is designed with the reduced order model and closed loop response is observed .The parameters of the controller are tuned to obtain a response with desired performance specifications .The results satisfy our design criteria .The...

Yogendra Kumar Soni; Rajesh Bhatt

2013-01-01

3

Design of aerospace control systems using fractional PID controller

Directory of Open Access Journals (Sweden)

Full Text Available The goal is to control the trajectory of the flight path of six degree of freedom flying body model using fractional PID. The design of fractional PID controller for the six degree of freedom flying body is described. The parameters of fractional PID controller are optimized by particle swarm optimization (PSO method. In the optimization process, various objective functions were considered and investigated to reflect both improved dynamics of the missile system and reduced chattering in the control signal of the controller.

Magdy A.S. Aboelela

2012-07-01

4

On PID controller design using knowledge based fuzzy system

The designing of PID controllers is a frequently discussed problem. Many of the design methods have been developed, classic (analytical tuning methods, optimization methods etc.) or not so common fuzzy knowledge based methods. The aim of design methods is in designing of controllers 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 ...

Jana Nowakova; Miroslav Pokorny

2012-01-01

5

Optimal PID Controller designing for voltage control of Fuel Cell

Directory of Open Access Journals (Sweden)

Full Text Available This paper is proposed a PID optimal controller in order to control of one of the most important types of fuel cell, namely proton exchange membrane fuel cell (PEMFC. At first, the introducing and implementation of PEMFC is present and next, during system load variations the proposed controller is designed. The controller should be designed against the load variations for keeping in a fixed value of Fuel cell output voltage. Here, the PID Controller is used which its coefficients are optimized based on Invasive Weed Optimization (IWO. In order to use this algorithm, at first, problem is written as an optimization problem which includes the objective function and constraints, and then to achieve the most desirable controller, IWO algorithm is applied to solve the problem. Simulation results are done for various loads in time domain, and the results show the efficiency of the proposed controller in contrast to the previous controllers.

Omid Khezri

2014-12-01

6

The design of PID control for container CT inspection system

International Nuclear Information System (INIS)

This paper introduces briefly the principles of container CT inspection system, and illustrates the composing of the PID control subsystem. It also introduces the control algorithm of PID controller and the method of adjusting PID parameters in detail. It is proved that the rapid response and the high accuracy of locating can be met by using PID controller with appropriate PID parameters. (authors)

7

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

A PID controller is designed using ISE, IAE, ITAE and MSE error criteria for stable linear time invariant continuous system. A Simulated Annealing PID controller is designed for the plant to meet the desired performance specifications by using SA optimization method. PID controller gain parameters Kp,Ki,Kd are designed and applied to the PID controller system .The PID controller closed loop response is observed for ISE, IAE, IATE and MSE error criteria. A comparison of system performance obse...

Yogendra Kumar Soni, Rajesh Bhatt

2013-01-01

8

Genetic Design of Neural PID plus Feed Forward Controllers

Evolutionary techniques are proposed in a new and novel paradigm to solve the problem of designing a robust neural PID plus feed forward controller for a plant with prescribed plant parameter uncertainties. The evolutionary scheme used, involves generating two separate populations, one representing the controller and the other the plant. The controller population is then evolved against a fixed population of plants representing the uncertainty space, such that the controller can control all t...

Naim Ajlouni; Sadeq Al-Hamouz

2004-01-01

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

10

A Design of CMAC Based Intelligent PID Controllers

Owing to the rapid progress of the computer technology in recent years, lots of works about intelligent control schemes have been developed in the field of control engineering. However, PID control algorithms still continue to be widely used for most industrial control systems, particularly in chemical process industries. However, it is difficult to find a suitable set of PID gains, because most processes are represented by nonlinear systems. On the other hand, in recent years, various neural networks (NNs) have been proposed. These technologies of the NNs enable us to deal with the nonlinear systems, and they play an important role in the field of control engineering. Furthermore, a Cerebellar Model Articulation Controller (CMAC) has been proposed as one of artificial neural networks. This paper presents a new design scheme of intelligent PID controllers whose PID gains are generated by using CMACs. Owing to the high-generalizing ability of the CMAC, the proposed scheme does not need large learning time with comparison to the conventional NN. Furthermore, the computational burden can be drastically reduced and the robust tracking can be realized for untrained reference signals. The newly proposed control scheme is numerically evaluated on some simulation examples.

Kurozumi, Ryota; Yamamoto, Toru

11

A General Method for Designing Fractional Order PID Controller

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...

Marzieh Safaei; Saeed Hosseinia; Mojtaba Hosseini Toodeshki

2013-01-01

12

Design of Fuzzy PID controller to control DC motor with zero overshoot

Most of the real time operation based physical system, digital PID is used in field such as servo-motor/dc motor/temperature control system, robotics, power electronics etc. need to interface with high speed constraints, higher density PLD’s such as FPGA used to integrate several logics on single IC. There are some limitations in it to overcome these limitations Fuzzy logic is introduced with PID and Fuzzy PID is formed. This paper explains experimental design of Fuzzy PID c...

Meenakshi Chourasiya; Prof. Shweta karnik

2014-01-01

13

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.

14

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

Most of process control systems are based on PID controllers, because of their remarkable effectiveness, simplicity and robustness, As PID controller design theory and practical procedures are well developed, it is necessary to pay attention on fuzzy logic controller design and its applications in combinations with PID controllers. There is also necessity to develop adaptive fuzzy PID Controllers, which can automatically retune itself to match the current process characteristics. In...

Dr.Pankaj Rai; Durgesh Nandan

2012-01-01

15

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...

Endra Joelianto; Sitanggang, Parlindungan H.

2009-01-01

16

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

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. F...

Wang Yeqin

2013-01-01

17

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

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 ...

Yazdizadeh, A.; Mehrafrooz, A.; Jouzdani, J.; Barzamini, R.

2009-01-01

18

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

A PID controller is designed using ISE, IAE, ITAE and MSE error criteria for stable linear time invariant continuous system. A BF-PSO PID controller is designed for the plant to meet the desired performance specifications by using BF-PSO optimization algorithm. PID controller gain parameters Kp,Ki,Kd are designed and applied to the PID controller system .The PID controller closed loop response is observed for ISE, IAE, IATE and MSE error criteria. A comparison of system performance observed f...

Yogendra Kumar Soni, Rajesh Bhatt

2013-01-01

19

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

20

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

We have designed a robust PID controller for controlling the delay induced in the Network control system (NCS).A robust PID controller for a Non –Minimum phase system subjected to uncertain delay is presented here. The previous achievements are extended to the Non –Minimum phase plant containing an uncertain delay time with specifications in terms of gain and phase. Controller design to meet the gain phase margin specifications have been demonstrated in the literature [4, 6].Synthesis and...

Deepali Chandrakar; Balram Timande; Dewashri Pansari

2012-01-01

21

Design of Fuzzy PID controller to control DC motor with zero overshoot

Directory of Open Access Journals (Sweden)

Full Text Available Most of the real time operation based physical system, digital PID is used in field such as servo-motor/dc motor/temperature control system, robotics, power electronics etc. need to interface with high speed constraints, higher density PLD’s such as FPGA used to integrate several logics on single IC. There are some limitations in it to overcome these limitations Fuzzy logic is introduced with PID and Fuzzy PID is formed. This paper explains experimental design of Fuzzy PID controller. We aimed to make controller power efficient, more compact, and zero overshoot. MATLAB is used to design PID controller to calculate and plot the time response of the control system and Simulink to generate a set of coefficients.

Meenakshi Chourasiya

2014-10-01

22

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

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...

S Sathish Kumar, Dr R. Meenakumari

2013-01-01

23

A General Method for Designing Fractional Order PID Controller

Directory of Open Access Journals (Sweden)

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

24

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

25

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

26

Design of high-speed and low-power finite-word-length PID controllers.

ASIC or FPGA implementation of a finite word-length PID controller requires a double expertise : in control system and hardware design. In this paper, we only focus on the hardware side of the problem. We show how to design configurable fixed-point PIDs to satisfy application srequiring minimal power consumption, or high control-rate, or both together. As multiply operation is the engine of PID, we experienced three algorithms : Booth, modified Booth, and a new recursive multi-bit multiplicat...

K Oudjida, Abdelkrim; Chaillet, Nicolas; Liacha, Ahmed; L Berrandjia, Mohamed; Hamerlain, Mustapha

2014-01-01

27

Design of High- Speed and Low-Power Finite-Word-Length PID Controllers.

ASIC or FPGA implementation of a finite word-length PID controller requires a double expertise: in control system and hardware design. In this paper, we only focus on the hardware side of the problem. Weshow how to design configurable fixed-point PIDs to satisfy applications requiring minimal power consumption, or high control-rate, or both together. As multiply operation is the engine of PID, we experienced three algorithms: Booth, modified Booth, and a new recursive multi-bit multiplication...

K Oudjida, Abdelkrim; Chaillet, Nicolas; Liacha, Ahmed; L Berrandjia, Mohamed; Hamerlain, Mustapha

2014-01-01

28

Fuzzy Auto-adjust PID Controller Design of Brushless DC Motor

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

29

A design method of compensators for multi-variable control system with PID controllers 'CHARLY'

International Nuclear Information System (INIS)

A systematic design method of compensators for a multi-variable control system having usual PID controllers in its loops is presented in this paper. The method itself is able: to determine the main manipulating variable corresponding to each controlled variable with a sensitivity analysis in the frequency domain. to tune PID controllers sufficiently to realize adequate control actions with a searching technique of minimum values of cost functionals. to design compensators improving the control preformance and to simulate a total system for confirming the designed compensators. In the phase of compensator design, the state variable feed-back gain is obtained by means of the OPTIMAL REGULATOR THEORY for the composite system of plant and PID controllers. The transfer function type compensators the configurations of which were previously given are, then, designed to approximate the frequency responces of the above mentioned state feed-back system. An example is illustrated for convenience. (author)

30

CAS algorithm-based optimum design of PID controller in AVR system

Energy Technology Data Exchange (ETDEWEB)

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.

Zhu Hui [Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, P.O. Box 145, Beijing 100876 (China); Key Laboratory of Network and Information Attack and Defence Technology of Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876 (China); National Engineering Laboratory for Disaster Backup and Recovery, Beijing 100876 (China)], E-mail: zhuhui05608@hotmail.com; Li Lixiang; Zhao Ying; Guo Yu; Yang Yixian [Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, P.O. Box 145, Beijing 100876 (China); Key Laboratory of Network and Information Attack and Defence Technology of Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876 (China); National Engineering Laboratory for Disaster Backup and Recovery, Beijing 100876 (China)

2009-10-30

31

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.

32

PID controller design and tuning in networked control systems

Networked control systems (NCS) are distributed real-time computing and control systems with sensors, actuators and controllers that communicate over a shared medium. The distributed nature of NCS and issues related to the shared communication medium pose significant challenges for control design, as the control system no longer follows the rules of classical control theory. The main problems that are not well covered by the traditional control theory are varying time-delays due to communicat...

Eriksson, Lasse

2008-01-01

33

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

Brushless DC motors (BLDCM) are widely used for many industrial applications because of their high efficiency, high torque and low volume. This paper proposed an improved Adaptive Fuzzy PID controller to control speed of BLDCM. This paper provides an overview of performance conventional PID controller, Fuzzy PID controller and Adaptive Fuzzy PID controller. It is difficult to tune the parameters and get satisfied control characteristics by using normal conventional PID controller. As the Adap...

Kandiban, R.; Arulmozhiyal, R.

2012-01-01

34

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

In this paper the design and the implementation of a self-tuning PID controller is presented. The proposed methodology uses a least squares method with covariance resetting and a pole placement design for the calculation of controller parameters. The proposed design is implemented on stable and unstable systems simulated in a COMDYNA GP-6 analog computer, and a comparison of the performance of the self-tuning controller and a classic PID controller is presented in terms of root mean square...

Lozano-valencia, Leonardo F.; Rodri?guez-garci?a, Luis F.; Dídier Giraldo-Buitrago

2012-01-01

35

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

36

Tuning of Fuzzy PID Controllers

DEFF Research Database (Denmark)

Since fuzzy controllers are nonlinear, it is more difficult to set the controller gains compared to proportional-integral-derivative (PID) controllers. This research paper proposes a design procedure and a tuning procedure that carries tuning rules from the PID domain over to fuzzy single-loop controllers. The idea is to start with a tuned, conventional PID controller, replace it with an equivalent linear fuzzy controller, make the fuzzy controller nonlinear, and eventually fine-tune the nonlinear fuzzy controller. This is relevant whenever a PID controller is possible or already implemented.

Jantzen, Jan

1998-01-01

37

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...

Yasir Khudhair Abbas

2012-01-01

38

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

39

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

This paper presents the design of a PID controlled Power System Stabilizer (PSS) for stabilization of power systems. Both controllers have been designed for a single machine infinite bus system as well as for a two area interconnected thermal-thermal power system. The controller parameters of both PID and PSS are tuned using genetic algorithm. Simulation results are presented to show the effectiveness of the controllers in stabilizing the power system oscillations.

Nithin, N.; SACHINTYAGI; Ashwani Kumar Chandel

2014-01-01

40

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

Directory of Open Access Journals (Sweden)

Full Text Available This paper presents the design of a PID controlled Power System Stabilizer (PSS for stabilization of power systems. Both controllers have been designed for a single machine infinite bus system as well as for a two area interconnected thermal-thermal power system. The controller parameters of both PID and PSS are tuned using genetic algorithm. Simulation results are presented to show the effectiveness of the controllers in stabilizing the power system oscillations.

NITHIN. N

2014-09-01

41

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

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...

Wenan Kang; Ting Chu; Haixia Zhao

2014-01-01

42

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

Directory of Open Access Journals (Sweden)

Full Text Available Brushless DC motors (BLDCM are widely used for many industrial applications because of their high efficiency, high torque and low volume. This paper proposed an improved Adaptive Fuzzy PID controller to control speed of BLDCM. This paper provides an overview of performance conventional PID controller, Fuzzy PID controller and Adaptive Fuzzy PID controller. It is difficult to tune the parameters and get satisfied control characteristics by using normal conventional PID controller. As the Adaptive Fuzzy has the ability to satisfied control characteristics and it is easy for computing. The experimental results verify that a Adaptive Fuzzy PID controller has better control performance than the both Fuzzy PID controller and conventional PID controller. The modeling, control and simulation of the BLDC motor have been done using the software package MATLAB/SIMULINK.

R. Kandiban

2012-03-01

43

Directory of Open Access Journals (Sweden)

Full Text Available This study is concerned with the design of a digital Proportional Integral Derivative (PID controller for synchronization of a continuous chaotic model. The Evolutionary Programming Algorithm (EPA has been considered as a useful technique for finding global optimization solutions for certain complicated functions in recent years. Therefore, in this research, we attempt to use the EP algorithm in digital PID control design for deriving optimal or near optimal digital PID control gains such that a performance index between the master and slave Sprott chaotic circuits is minimized. A numerical and experimental result exemplifies the synchronization procedure.

Chao Lin Kuo

2008-01-01

44

Optimal PID control design for synchronization of delayed discrete chaotic systems

International Nuclear Information System (INIS)

This paper is concerned with the design of a proportional-integral-derivative (PID) controller for synchronization of delayed discrete chaotic models. The evolutionary programming algorithm (EPA) has been considered as a useful technique for finding global optimization solutions for certain complicated functions in recent years. Therefore, in this paper, we attempt to use the EP algorithm in PID control design for deriving optimal or near optimal PID control gains such that a performance index between the master and slave chaotic systems is minimized. A numerical result exemplifies the synchronization procedure

45

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

46

Research Trends for PID Controllers

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

47

The Proportional-Integral-Derivative Controller is widely used in industries for process control applications. Fractional-order PID controllers are known to outperform their integer-order counterparts. In this paper, we propose a new technique of fractional-order PID controller synthesis based on peak overshoot and rise-time specifications. Our approach is to construct an objective function, the optimization of which yields a possible solution to the design problem. This obj...

Chakraborty, Mithun; Maiti, Deepyaman; Konar, Amit

2008-01-01

48

The Proportional-Integral-Derivative Controller is widely used in industries for process control applications. Fractional-order PID controllers are known to outperform their integer-order counterparts. In this paper, we propose a new technique of fractional-order PID controller synthesis based on peak overshoot and rise-time specifications. Our approach is to construct an objective function, the optimization of which yields a possible solution to the design problem. This objective function is optimized using two popular bio-inspired stochastic search algorithms, namely Particle Swarm Optimization and Differential Evolution. With the help of a suitable example, the superiority of the designed fractional-order PID controller to an integer-order PID controller is affirmed and a comparative study of the efficacy of the two above algorithms in solving the optimization problem is also presented.

Chakraborty, Mithun; Konar, Amit

2008-01-01

49

Frequency-domain Model Matching PID Controller Design for Aero-engine

The nonlinear model of aero-engine was linearized at multiple operation points by using frequency response method. The validation results indicate high accuracy of static and dynamic characteristics of the linear models. The improved PID tuning method of frequency-domain model matching was proposed with the system stability condition considered. The proposed method was applied to the design of PID controller of the high pressure rotor speed control in the flight envelope, and the control effects were evaluated by the nonlinear model. Simulation results show that the system had quick dynamic response with zero overshoot and zero steadystate error. Furthermore, a PID-fuzzy switching control scheme for aero-engine was designed, and the fuzzy switching system stability was proved. Simulations were studied to validate the applicability of the multiple PIDs fuzzy switching controller for aero-engine with wide range dynamics.

Liu, Nan; Huang, Jinquan; Lu, Feng

2014-12-01

50

Design and implementation of a new fuzzy PID controller for networked control systems.

This paper presents a practical network platform to design and implement a networked-based cascade control system linking a Smar Foundation Fieldbus (FF) controller (DFI-302) and a Siemens programmable logic controller (PLC-S7-315-2DP) through Industrial Ethernet to a laboratory pilot plant. In the presented network configuration, the Smar OPC tag browser and Siemens WinCC OPC Channel provide the communicating interface between the two controllers. The paper investigates the performance of a PID controller implemented in two different possible configurations of FF function block (FB) and networked control system (NCS) via a remote Siemens PLC. In the FB control system implementation, the desired set-point is provided by the Siemens Human-Machine Interface (HMI) software (i.e, WinCC) via an Ethernet Modbus link. While, in the NCS implementation, the cascade loop is realized in remote Siemens PLC station and the final element set-point is sent to the Smar FF station via Ethernet bus. A new fuzzy PID control strategy is then proposed to improve the control performances of the networked-based control systems due to an induced transmission delay degradation effect. The proposed strategy utilizes an innovative idea based on sectionalizing the error signal of the step response into three different functional zones. The supporting philosophy behind these three functional zones is to decompose the desired control objectives in terms of rising time, settling time and steady-state error measures maintained by an appropriate PID-type controller in each zone. Then, fuzzy membership factors are defined to configure the control signal on the basis of the fuzzy weighted PID outputs of all three zones. The obtained results illustrate the effectiveness of the proposed fuzzy PID control scheme in improving the performances of the implemented NCS for different transportation delays. PMID:18692184

Fadaei, A; Salahshoor, K

2008-10-01

51

Comparison of tuning methods for design of PID controller as an A VR

International Nuclear Information System (INIS)

The primary means of generator reactive power control is the generator-excitation Control, using Automatic Voltage Regulator (A VR). The role of A VR is to hold the terminal voltage magnitude of Synchronous generator at a specified level. This paper presents the design of a proportional integral-derivative (PID) controller as an A VR. The PID controller has been tuned by various tuning methods. From all methods, PID parameters are computed through various techniques i.e. Process-reaction curve, Closed-loop system, open-loop system gain margin and phase-margin specifications. From these methods, it has been found that Zhaung- Atherton method and Ho, Hang and Cao method are much superior to the conventional Ziegler-Nichols rules. The performance of the controller has been evaluated through Simulation Studies in MATLAB environment. It has been demonstrated that the PID controller, tuned with the said methods, yields highly satisfactory closed-loop performance. (author)

52

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

Directory of Open Access Journals (Sweden)

Full Text Available We have designed a robust PID controller for controlling the delay induced in the Network control system (NCS.A robust PID controller for a Non –Minimum phase system subjected to uncertain delay is presented here. The previous achievements are extended to the Non –Minimum phase plant containing an uncertain delay time with specifications in terms of gain and phase. Controller design to meet the gain phase margin specifications have been demonstrated in the literature [4, 6].Synthesis and analysis presented in this paper, is an extension procedure in [1, 3]. The paper presents optimization in tuning controllers for varying time delay system using simulation. The simulation results show the effectiveness of this compensation method.

Deepali Chandrakar

2012-11-01

53

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

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

Taeib, Adel; Ltaeif, Ali; Chaari, Abdelkader

2013-01-01

54

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

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

Chang, Wei-Der; Shih, Shun-Peng

2010-11-01

55

A frequency response model matching method for PID controller design for processes with dead-time.

In this paper, a PID controller design method for the integrating processes based on frequency response matching is presented. Two approaches are proposed for the controller design. In the first approach, a double feedback loop configuration is considered where the inner loop is designed with a stabilizing gain. In the outer loop, the parameters of the PID controller are obtained by frequency response matching between the closed-loop system with the PID controller and a reference model with desired specifications. In the second approach, the design is directly carried out considering a desired load-disturbance rejection model of the system. In both the approaches, two low frequency points are considered for matching the frequency response, which yield linear algebraic equations, solution of which gives the controller parameters. Several examples are taken from the literature to demonstrate the effectiveness and to compare with some well known design methods. PMID:25441218

Anwar, Md Nishat; Pan, Somnath

2014-11-11

56

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

Particle Swarm Optimization technique offers optimal or suboptimal solution to multidimensional rough objective functions. In this paper, this optimization technique is used for designing fractional order PID controllers that give better performance than their integer order counterparts. Controller synthesis is based on required peak overshoot and rise time specifications. The characteristic equation is minimized to obtain an optimum set of controller parameters. Results sho...

Maiti, Deepyaman; Biswas, Sagnik; Konar, Amit

2008-01-01

57

AN ALGORITHM FOR DESIGN OF A PID CONTROLLER FOR MULTIVARIABLE SYSTEM USING OUTPUT FEEDBACK

This paper deals with the design of a proportional-plus-integral-plus-derivative (PID) controller for linear multivariable systems using an output feedback control law. Controller is designed as an equivalent proportionalplus- derivative controller for the augmented system formed due to the integral action. The design equations areformulated in terms of coefficient matrix of the transfer function vector of the equivalent single input (or single output) system. The computation of coefficient m...

Suma H; Appukuttan,; K. K.

2010-01-01

58

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

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

59

Design of PID controller as an AVR in frequency-domain

International Nuclear Information System (INIS)

The primary means of generator reactive-power control is the generator-excitation control, using Automatic Voltage Regulator (AVR). The role of AVR is to hold the terminal-voltage of Synchronous generator at a specified level. This paper presents the design of a proportional integral- derivative (PID) controller to work as an A VR. The PID controller has been tuned by HO-HANG-CAO method. In this method, pm parameters are computed from the gain-margin and phase-margin specifications. This method has been found much superior to the conventional Ziegler- Nichols rules. The performance of the controller has been evaluated through Simulation Studies in MATLAB environment. It has been demonstrated that the PID controller, tuned with the said method, yields highly satisfactory closed loop performance. (author)

60

Design of PID Controller for Non Square MIMO System

Most of the processes in real time industries are multi input multi output (MIMO) in nature. Normally RGA method is used to decouple the interference between the process loops. The decouplers can be easily designed for the stable processes with dead time. As a special case we will also obtain the mathematical model of certain systems as a non-square system with unstable/integrating process. Designing the controller for such processes is being a challenging one. As a case study, we have made an attempt to design the controller for the rotary inverted pendulum, whose mathematical model is resulted as a Non-Square MIMO integrating process.

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

2011-12-01

61

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

Particle Swarm Optimization technique offers optimal or suboptimal solution to multidimensional rough objective functions. In this paper, this optimization technique is used for designing fractional order PID controllers that give better performance than their integer order counterparts. Controller synthesis is based on required peak overshoot and rise time specifications. The characteristic equation is minimized to obtain an optimum set of controller parameters. Results show that this design method can effectively tune the parameters of the fractional order controller.

Maiti, Deepyaman; Konar, Amit

2008-01-01

62

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

Directory of Open Access Journals (Sweden)

Full Text Available The minimum rule base Proportional Integral Derivative (PID Fuzzy Computed Torque Controller with application to spherical motor is presented in this research. The popularity of PID Fuzzy Computed Torque Controller can be attributed to their robust performance in a wide range of operating conditions and partly to their functional simplicity. PID methodology has three inputs and if any input is described with seven linguistic values, and any rule has three conditions we will need 343 rules. It is too much work to write 343 rules and have lots of problem to design embedded control system e.g., Field Programmable Gate Array (FPGA. In this research the PID-like fuzzy controller can be constructed as a parallel structure of a PD-like fuzzy controller and a conventional PI controller to have the minimum rule base and acceptable trajectory follow disturbance to control of spherical motor. However computed torque controller is work based on cancelling decoupling and nonlinear terms of dynamic parameters for each direction of three degree of freedom spherical motor, this controller is work based on motor dynamic model and this technique is highly sensitive to the knowledge of all parameters of nonlinear spherical motor’s dynamic equation. This research is used to reduce or eliminate the computed torque controller problem based on minimum rule base fuzzy logic theory to control of three degrees of freedom spherical motor system and testing of the quality of process control in the simulation environment of MATLAB/SIMULINK Simulator.

Mohammad shamsodini

2014-05-01

63

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

64

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

Directory of Open Access Journals (Sweden)

Full Text Available A Maglev system was modeled by the exact feedback linearization to achieve two same linear subsystems. The proportional-integral-differential controllers (PID based on particle swarm optimization (PSO algorithm with four different inertia weights were then used to regulate both linear subsystems. These different inertia weights were Fixed Inertia Weight (FIW, Linear Descend Inertia Weight (LIW, Linear Differential Descend Inertia Weight (LDW, and mixed inertia weight (FIW–LIW-LDW. On the other hand, the parameters of the PSO-PID controllers via mixed inertia weight (FIW–LIW-LDW were optimized, the parameter values in the electromagnet 1 and electromagnet 2 were both 0.4. Simulation results demonstrate that the control performance and robustness of PSO-PID based on mixed inertia weight (FIW–LIW-LDW was superior to that of three PSO-PID controllers based on single inertia weights. For electromagnet 1, the overshoot of PSO-PID controller with mixed inertia weight reduced 3.36% than that of PSO-PID controller with FIW, 5.81% than that of PSO-PID controller with LIW, and 6.34% than that of PSO-PID controller with LDW; for electromagnet 2, the overshoot of PSO-PID controller with mixed inertia weight reduced 1.07% than that of PSO-PID controller with FIW, 12.56% than that of PSO-PID controller with LIW, 7.97% than that of PSO-PID controller with LDW; the adjusting time of PSO-PID controller with mixed inertia weight reduced 0.395s than that of PSO-PID controller with FIW, 34.1s than that of PSO-PID controller with LIW, and 33.494s than that of PSO-PID controller with LDW

Rongrong Song

2014-06-01

65

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

Directory of Open Access Journals (Sweden)

Full Text Available In this paper the design and the implementation of a self-tuning PID controller is presented. The proposed methodology uses a least squares method with covariance resetting and a pole placement design for the calculation of controller parameters. The proposed design is implemented on stable and unstable systems simulated in a COMDYNA GP-6 analog computer, and a comparison of the performance of the self-tuning controller and a classic PID controller is presented in terms of root mean square error. The obtained results show that controllers of adaptive parameters have a better response than controllers of fixed parameters with respect to parameter variations that may affect the conditions of the system.

Leonardo F. Lozano-Valencia

2012-06-01

66

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

This paper presents a fuzzy logic PID-controller synthesis method for solid body guidance. Formany nonlinear systems with nonlinearities and uncertainties, the performance of fuzzy controllertype 1 may not be satisfactory. Therefore, in this work, fuzzy logic type 2 controller design isintroduced. These controllers capture the advantage of a linear controller in terms of simplicity andalso can handle nonlinearity because of their inference mechanism.The main feature of...

T????, A.; ????????, ?.

2011-01-01

67

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

This paper presents a fuzzy logic PID-controller synthesis method for solid body guidance. Formany nonlinear systems with nonlinearities and uncertainties, the performance of fuzzy controllertype 1 may not be satisfactory. Therefore, in this work, fuzzy logic type 2 controller design isintroduced. These controllers capture the advantage of a linear controller in terms of simplicity andalso can handle nonlinearity because of their inference mechanism.The main feature of the proposedmethod cons...

T????, A. ????????????? ???????????? ???????????; ????????, ?. ????????????? ???????????? ???????????

2011-01-01

68

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

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.

69

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

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...

Yongrui Zhao; Jifeng Yang; Xinxin Li; Lilong Zhao

2013-01-01

70

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)

71

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

Directory of Open Access Journals (Sweden)

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

Anitha Mary. X

2014-08-01

72

International Nuclear Information System (INIS)

In order to make the design process for power control system of experimental nuclear reactor optimal, objective and analytical, an analytical design process which contains the model linearization, model reduction, theoretical design of PID controllers is discussed. This method is applied to the design of the power control system of an experimental nuclear reactor, the numerical simulation results prove that the design process is practical, and the control performance is satisfactory

73

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

In this work, a new technique based on Genetic Algorithm for designing multivariable PID filter controller has been developed and applied to gasifier control of ALSTOM benchmark challenge II. The coal gasifier is the main component in Modern power generation. Coal gasifier involves several performance and robustness requirements in addition to actuator constraints under three operating loads (no-load, 50% and 100% load). The proposed GA optimises the tun...

Anitha Mary.X; Sivakumar, L.; Jayakumar, J.

2014-01-01

74

Design a Novel SISO Off-line Tuning of Modified PID Fuzzy Sliding Mode Controller

The Proportional Integral Derivative (PID) Fuzzy Sliding Mode Controller (FSMC) is the most widely used control strategy in the Industry (control of robotic arm). The popularity of PID FSMC controllers can be attributed to their robust performance in a wide range of operating conditions and partly to their functional simplicity. The process of setting of PID FSMC controller can be determined as an optimization task. Over the years, use of intelligent strategies for tuning of these controllers...

Ali Shahcheraghi; Farzin Piltan; Masoud Mokhtar; Omid Avatefipour; Alireza Khalilian

2014-01-01

75

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

One of the reasons of the great success of standard PID controllers is the presence of simple tuning rules, of the automatic tuning feature and of tables that simplify significantly their design. For the fractional order case, some tuning rules have been proposed in the literature. However, they are not general because they are valid only for some model cases. In this paper, a new approach is investigated. The fractional property is not especially imposed by the controller structure but by the closed loop reference model. The resulting controller is fractional but it has a very interesting structure for its implementation. Indeed, the controller can be decomposed into two transfer functions: an integer transfer function which is generally an integer PID controller and a simple fractional filter. PMID:24957276

Maâmar, Bettayeb; Rachid, Mansouri

2014-09-01

76

Design Intelligent PID like Fuzzy Sliding Mode Controller for Spherical Motor

Directory of Open Access Journals (Sweden)

Full Text Available The minimum rule base Proportional Integral Derivative (PID Fuzzy Sliding Mode Controller (SMC with application to spherical motor is presented in this research. The popularity of PID Fuzzy Sliding Mode Controller can be attributed to their robust performance in a wide range of operating conditions and partly to their functional simplicity. The process of setting of PID Fuzzy Sliding Mode Controller can be determined as an optimization task. Over the years, use of intelligent strategies for tuning of these controllers has been growing especially in nonlinear and uncertain systems. Proportional Integral Derivative methodology has three inputs and if any input is described with seven linguistic values, and any rule has three conditions, we will need 343 rules. It is too much work to write 343 rules and have lots of problem to design embedded control system e.g., Field Programmable Gate Array (FPGA. In this research the PID-like fuzzy controller can be constructed as a parallel structure of a PD-like fuzzy controller and a conventional PI controller to have the minimum rule base and good trajectory follow disturbance to control of spherical motor. However Sliding Mode Controller is work based on cancelling decoupling and nonlinear terms of dynamic parameters for each direction of three degree of freedom spherical motor, this controller is work based on motor dynamic model and this technique is highly sensitive to the knowledge of all parameters of nonlinear spherical motor’s dynamic equation which caused to challenge in uncertain system. This research is used to reduce or eliminate the Sliding Mode Controller problem based on minimum rule base fuzzy logic theory to control of three degrees of freedom spherical motor system and testing of the quality of process control in the simulation environment of MATLAB/SIMULINK Simulator.

Farzin Matin

2014-04-01

77

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

78

A Design of a PID Self-Tuning Controller Using LabVIEW

In this paper a trial has been made to design a simple self-tuning LabVIEW-based PID controller. The controller uses an open-loop relay test, calculates the tuned parameters in an open loop mode of operation before it updates controller parameters and runs the process as a closed-loop system. The controller reacts on a persistent offset error value as a result of load disturbance or a set point change. Practical results show that such a controller may be recommended to control a variety of in...

Younes, Tariq M.; Alia, Mohammad A. K.; Shibel Al Subah

2011-01-01

79

Design High Efficiency-Minimum Rule Base PID Like Fuzzy Computed Torque Controller

The minimum rule base Proportional Integral Derivative (PID) Fuzzy Computed Torque Controller is presented in this research. The popularity of PID Fuzzy Computed Torque Controller can be attributed to their robust performance in a wide range of operating conditions and partly to their functional simplicity. The process of setting of PID Fuzzy Computed Torque Controller can be determined as an optimization task. Over the years, use of intelligent strategies for tuning of these controllers has ...

Alireza Khalilian; Ghasem Sahamijoo; Omid Avatefipour; Farzin Piltan; Mahmoud Reza Safaei Nasrabad

2014-01-01

80

PID Controller with Operational Amplifier

The paper presents a PID controller made with LM741 operational amplifier that implement the PID controllers laws and allow for a widerange of applications of in the field of automatic control of technicalprocesses and systems.

Cristian Paul Chioncel; Petru Chioncel; Nicoleta Gillich

2009-01-01

81

This contribution outlines controller developments 1788 – c.1900; 1900-1950: The role of instrument companies; early theoretical description of the PID controller; early tuning of the PID controller; some further developments since 1950; some conclusions.

O Dwyer, Aidan

2005-01-01

82

PID Controller with Operational Amplifier

Directory of Open Access Journals (Sweden)

Full Text Available The paper presents a PID controller made with LM741 operational amplifier that implement the PID controllers laws and allow for a widerange of applications of in the field of automatic control of technicalprocesses and systems.

Cristian Paul Chioncel

2009-01-01

83

Design of Self-tuning PID controller using Fuzzy Logic for Level Process

In this paper a self-tuning PID controller is designed using fuzzy logic for a liquid level process of single tank and two tank systems. Conventional technique like Ziegler’s Nichols method can be enhanced using fuzzy logic. The gain parameters that are obtained using conventional technique can be adjusted automatically using the logic. The gain parameters that are obtained using conventional technique can be adjusted automatically using the

Aditya Karthik, P. D.; Supriyanka, J.

2014-01-01

84

Design of Self-tuning PID controller using Fuzzy Logic for Level Process

Directory of Open Access Journals (Sweden)

Full Text Available In this paper a self-tuning PID controller is designed using fuzzy logic for a liquid level process of single tank and two tank systems. Conventional technique like Ziegler’s Nichols method can be enhanced using fuzzy logic. The gain parameters that are obtained using conventional technique can be adjusted automatically using the logic. The gain parameters that are obtained using conventional technique can be adjusted automatically using the

P D Aditya Karthik *1

2014-06-01

85

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

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

86

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)

87

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

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...

P.Srinivas,; Vijaya Lakshmi, K.; Naveen Kumar, V.

2013-01-01

88

INTELLIGENT CONTROL USING ADAPTIVE PID CONTROLLER

In this paper an adaptive stable PID controller is briefly explained and validated by simulations and experimentation. The adaptive PID controller employs almost strict positive realness (ASPR) to ensure stability of the system. The design involves a parallel feedforward compensator (PFC) which guarantees the ASPRness of the controlled system. After a disturbance the dynamical system is assumed to be in one of a finite number of configurations, corresponding to each of which exist a stabilizi...

Vijayakumar, Dr P.; Unnikrishnan, P. C.

2014-01-01

89

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

90

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

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...

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

2013-01-01

91

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

92

International Nuclear Information System (INIS)

The Horizontal Test Stand (HTS) SRF Cavity and Cryomodule 1 (CM1) of eight 9-cell, 1.3GHz SRF cavities are operating at Fermilab. For the cryogenic control system, how to hold liquid level constant in the cryostat by regulation of its Joule-Thompson JT-valve is very important after cryostat cool down to 2.0 K. The 72-cell cryostat liquid level response generally takes a long time delay after regulating its JT-valve; therefore, typical PID control loop should result in some cryostat parameter oscillations. This paper presents a type of PID parameter self-optimal and Time-Delay control method used to reduce cryogenic system parameters oscillation.

93

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

94

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

95

The continuous and discrete time Linear Quadratic Regulator (LQR) theory has been used in this paper for the design of optimal analog and discrete PID controllers respectively. The PID controller gains are formulated as the optimal state-feedback gains, corresponding to the standard quadratic cost function involving the state variables and the controller effort. A real coded Genetic Algorithm (GA) has been used next to optimally find out the weighting matrices, associated wi...

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

2013-01-01

96

Application of Adaptive Fuzzy PID Leveling Controller

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

97

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

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

98

Design a Novel SISO Off-line Tuning of Modified PID Fuzzy Sliding Mode Controller

Directory of Open Access Journals (Sweden)

Full Text Available The Proportional Integral Derivative (PID Fuzzy Sliding Mode Controller (FSMC is the most widely used control strategy in the Industry (control of robotic arm. The popularity of PID FSMC controllers can be attributed to their robust performance in a wide range of operating conditions and partly to their functional simplicity. The process of setting of PID FSMC controller can be determined as an optimization task. Over the years, use of intelligent strategies for tuning of these controllers has been growing. Biologically inspired evolutionary strategies have gained importance over other strategies because of their consistent performance over wide range of process models and their flexibility. This paper analyses the modified PID FSMC controllers based on minimum rule base for flexible robot manipulator system and test the quality of process control in the simulation environment of MATLAB/SIMULINK Simulator.

Ali Shahcheraghi

2014-01-01

99

New tuning method for PID controller.

In this paper, a tuning method for proportional-integral-derivative (PID) controller and the performance assessment formulas for this method are proposed. This tuning method is based on a genetic algorithm based PID controller design method. For deriving the tuning formula, the genetic algorithm based design method is applied to design PID controllers for a variety of processes. The relationship between the controller parameters and the parameters that characterize the process dynamics are determined and the tuning formula is then derived. Using simulation studies, the rules for assessing the performance of a PID controller tuned by the proposed method are also given. This makes it possible to incorporate the capability to determine if the PID controller is well tuned or not into an autotuner. An autotuner based on this new tuning method and the corresponding performance assessment rules is also established. Simulations and real-time experimental results are given to demonstrate the effectiveness and usefulness of these formulas. PMID:12398278

Shen, Jing-Chung

2002-10-01

100

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

Directory of Open Access Journals (Sweden)

Full Text Available This paper presents a fuzzy logic PID-controller synthesis method for solid body guidance. Formany nonlinear systems with nonlinearities and uncertainties, the performance of fuzzy controllertype 1 may not be satisfactory. Therefore, in this work, fuzzy logic type 2 controller design isintroduced. These controllers capture the advantage of a linear controller in terms of simplicity andalso can handle nonlinearity because of their inference mechanism.The main feature of the proposedmethod constitutes in a membership functions type 2 applications. The membership function type 2is represented by upper and lower membership functions of type 1. The interval between these twofunctions represent the footprint of uncertainty, which give an opportunity to synthesize commonregulator for set of a models. The structure of fuzzy logic controller for solid body control isgrounded. Simulation results confirm the effectiveness of the proposed approach.

A. T????

2011-04-01

101

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

Rugged electrohydraulic systems are preferred for remote and harsh applications. Despite the low bandwidth, large deadband and flow nonlinearities in proportional valves valve and highly nonlinear friction in industry-grade cylinders that comprise rugged systems, their maintenance are much easier than very sophisticated and delicate servocontrol and servocylinder systems. With the target of making the easily maintainable system to perform comparably to a servosystem, a feedforward control has been designed here for compensating the nonlinearities. A PID feedback of the piston displacement has been employed in tandem for absorbing the unmodeled effects. All the controller parameters have been optimized by a real-coded genetic algorithm. The agreement between the achieved real-time responses for step and sinusoidal demands with those achieved by modern servosystems clearly establishes the acceptability of the controller design. PMID:23910093

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

2013-11-01

102

INTELLIGENT CONTROL USING ADAPTIVE PID CONTROLLER

Directory of Open Access Journals (Sweden)

Full Text Available In this paper an adaptive stable PID controller is briefly explained and validated by simulations and experimentation. The adaptive PID controller employs almost strict positive realness (ASPR to ensure stability of the system. The design involves a parallel feedforward compensator (PFC which guarantees the ASPRness of the controlled system. After a disturbance the dynamical system is assumed to be in one of a finite number of configurations, corresponding to each of which exist a stabilizing controller. The effectiveness of the method is tested and compared using simulations and experiments on a level control experimental setup.

DR. P VIJAYAKUMAR

2014-02-01

103

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

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

104

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.

105

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

106

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

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

107

Directory of Open Access Journals (Sweden)

Full Text Available In this work, a hybrid MPC (model predictive control-PID (proportional-integral-derivative control system has been designed for the continuous purification and processing framework of active pharmaceutical ingredients (APIs. The specific unit operations associated with the purification and processing of API have been developed from first-principles and connected in a continuous framework in the form of a flowsheet model. These integrated unit operations are highly interactive along with the presence of process delays. Therefore, a hybrid MPC-PID is a promising alternative to achieve the desired control loop performance as mandated by the regulatory authorities. The integrated flowsheet model has been simulated in gPROMSTM (Process System Enterprise, London, UK. This flowsheet model has been linearized in order to design the control scheme. The ability to track the set point and reject disturbances has been evaluated. A comparative study between the performance of the hybrid MPC-PID and a PID-only control scheme has been presented. The results show that an enhanced control loop performance can be obtained under the hybrid control scheme and demonstrate that such a scheme has high potential in improving the efficiency of pharmaceutical manufacturing operations.

Maitraye Sen

2014-05-01

108

Application of Adaptive Fuzzy PID Leveling Controller

Directory of Open Access Journals (Sweden)

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

Ke Zhang

2013-05-01

109

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

In this paper hybridization between two optimization methods that are Genetic Algorithm (GA) and Artificial Immune System (AIS) is presented for determining the optimal proportional-integral derivative (PID) controller parameters, for speed control of a linear brushless DC motor. The brushless DC motor is modeled in Simulink and the Hybrid GA-AIS algorithm is implemented in MATLAB. The capability of overcoming the shortcomings of individual algorithms without losing their advantages makes ...

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

2011-01-01

110

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

111

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

112

A fractional order (FO) PID or FOPID controller is designed for an Automatic Voltage Regulator (AVR) system with the consideration of contradictory performance objectives. An improved evolutionary Non-dominated Sorting Genetic Algorithm (NSGA-II), augmented with a chaotic Henon map is used for the multi-objective optimization based design procedure. The Henon map as the random number generator outperforms the original NSGA-II algorithm and its Logistic map assisted version f...

Pan, Indranil; Das, Saptarshi

2013-01-01

113

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

A Maglev system was modeled by the exact feedback linearization to achieve two same linear subsystems. The proportional-integral-differential controllers (PID) based on particle swarm optimization (PSO) algorithm with four different inertia weights were then used to regulate both linear subsystems. These different inertia weights were Fixed Inertia Weight (FIW), Linear Descend Inertia Weight (LIW), Linear Differential Descend Inertia Weight (LDW), and mixed inertia weight (FIW–LIW-LDW)....

Rongrong Song; Zili Chen

2014-01-01

114

New results on the synthesis of FO-PID controllers

In this paper a new procedure that allows to define the parameters of fractional order PI?D? controller, designed to stabilize a first-order plant with delay-time, is proposed. Using a version of the Hermite-Biehler theorem applicable to quasipolynomials, the complete set of stabilizing PI?D? parameters is determined. The widespread industrial use of PID controllers and the potentiality of their non-integer order representation justifies a timely interest to PI?D? tuning techniques.

Caponetto, Riccardo; Dongola, Giovanni; Fortuna, Luigi; Gallo, Antonio

2010-04-01

115

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

116

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

117

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

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

Alia, Mohammad A. K.

2007-01-01

118

Robust PID design based on static H? loop-shaping method for steam generator water level control

International Nuclear Information System (INIS)

The problem for control of steam generator water level is complex because its complicated shrink and parameters of its model vary with operation conditions. Static H? loop shaping is used to design the robust PID controller for the steam generator. Simulation results show that the control efficiency of this scheme is better than that of the other three H? loop shaping based methods, and the derived controller has good reference tracking capability, distribution rejection ability and acceptable control performance at different operation points. (authors)

119

A mathematical explanation via "intelligent" PID controllers of the strange ubiquity of PIDs

The ubiquity of PID controllers in the industry has remained mysterious until now. We provide here a mathematical explanation of this strange phenomenon by comparing their sampling with the the one of "intelligent" PID controllers, which were recently introduced. Some computer simulations nevertheless confirm the superiority of the new intelligent feedback design.

Novel, Brigitte D'Andrea; Join, Cédric; Mounier, Hugues; Steux, Bruno

2010-01-01

120

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

Directory of Open Access Journals (Sweden)

Full Text Available A system with parameter variation within bound creates interval in coefficients in the system polynomial and hence it is called as interval system. In this study, a model order reduction for linear interval system is attempted. A convergence technique is attempted to reduce the numerator polynomial. The denominator polynomial is reduced by using the methods such as retention of Markov parameter and time moments technique. A numerical approach is proposed to compute the reduced order interval model for a higher order linear time variant model. Also in this study, a novel technique using Particle Swarm assisted Bacterial Foraging Optimization (PSO-BFO based hybrid algorithm is proposed to search the PID controller parameters such as Kp, Ki and Kd. The algorithm is to obtain the best possible PID parameters with Integral Squared Error (ISE criterion minimization is as the objective function. Initially the controller parameters are obtained for reduced order model; then it is tested with the higher order model. A simulation is carried out to shows that the effectiveness of proposed model reduction algorithm and the controller performance. From the result it is observed that, the projected method provides enhanced performance for the interval system.

Babu Thirumalaimuthu

2012-01-01

121

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

Directory of Open Access Journals (Sweden)

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

122

Computer simulation system of neural PID control on nuclear reactor

International Nuclear Information System (INIS)

Neural network proportional integral differential (PID) controller on nuclear reactor is designed, and the control process is simulated by computer. The simulation result show that neutral network PID controller can automatically adjust its parameter to ideal state, and good control result can be gotten in reactor control process

123

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

Directory of Open Access Journals (Sweden)

Full Text Available In this paper hybridization between two optimization methods that are Genetic Algorithm (GA and Artificial Immune System (AIS is presented for determining the optimal proportional-integral derivative (PID controller parameters, for speed control of a linear brushless DC motor. The brushless DC motor is modeled in Simulink and the Hybrid GA-AIS algorithm is implemented in MATLAB. The capability of overcoming the shortcomings of individual algorithms without losing their advantages makes the hybrid techniques superior to the stand-alone ones based on the dominant purpose of hybridization. The Hybrid GA-AIS method has superior features, stable convergence characteristic and good computational efficiency. The results that get it from hybridization are improved compares with that results can get from GA and AIS alone. The hybrid GA-AIS consists of two processes, the first one is a genetic algorithm (GA is typically initialized population randomly. Hybridization is faster and more accurate compare with GA AIS alone.

Mohammed Obaid Ali

2011-01-01

124

PID control design for chaotic synchronization using a tribes optimization approach

Energy Technology Data Exchange (ETDEWEB)

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.

Santos Coelho, Leandro dos [Industrial and Systems Engineering Graduate Program, LAS/PPGEPS, Pontifical Catholic University of Parana, PUCPR, Imaculada Conceicao, 1155, 80215-901 Curitiba, Parana (Brazil)], E-mail: leandro.coelho@pucpr.br; Andrade Bernert, Diego Luis de [Industrial and Systems Engineering Graduate Program, LAS/PPGEPS, Pontifical Catholic University of Parana, PUCPR, Imaculada Conceicao, 1155, 80215-901 Curitiba, Parana (Brazil)], E-mail: dbernert@gmail.com

2009-10-15

125

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.

126

Poultry House Temperature Control Using Fuzzy-PID Controller

Directory of Open Access Journals (Sweden)

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

127

Directory of Open Access Journals (Sweden)

Full Text Available Continuum robot manipulators are optimized to meet best trajectory requirements. Closed loop control is a key technology that is used to optimize the system output process to achieve this goal. In order to conduct research in the area of closed loop control, a control oriented cycle-to-cycle continuum robot model, containing dynamic model information for each individual continuum robot manipulator, is a necessity. In this research, the continuum robot manipulator is modeled according to information between joint variable and torque, which is represented by the nonlinear dynamic equation. After that, a multi-input-multi-output baseline computed torque control scheme is used to simultaneously control the torque load of system to regulate the joint variables to desired levels. One of the most important challenge in control theory is on-line tuning therefore fuzzy supervised optimization is used to tune the modified baseline and computed torque control coefficient. The performance of the modified baseline computed torque controller is compared with that of a baseline proportional, integral, and derivative (PID controller.

Azita Yazdanpanah

2014-04-01

128

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

Directory of Open Access Journals (Sweden)

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

Mohammad A.K. Alia

2007-01-01

129

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

Directory of Open Access Journals (Sweden)

Full Text Available The autonomous vehicle is a mobile robot integrating multi?sensor navigation and positioning, intelligent decision making and control technology. This paper presents the control system architecture of the autonomous vehicle, called “Intelligent Pioneer”, and the path tracking and stability of motion to effectively navigate in unknown environments is discussed. In this approach, a two degree?of?freedom dynamic model is developed to formulate the path?tracking problem in state space format. For controlling the instantaneous path error, traditional controllers have difficulty in guaranteeing performance and stability over a wide range of parameter changes and disturbances. Therefore, a newly developed adaptive?PID controller will be used. By using this approach the flexibility of the vehicle control system will be increased and achieving great advantages. Throughout, we provide examples and results from Intelligent Pioneer and the autonomous vehicle using this approach competed in the 2010 and 2011 Future Challenge of China. Intelligent Pioneer finished all of the competition programmes and won first position in 2010 and third position in 2011.

Pan Zhao

2012-07-01

130

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

131

The paper is divided into three parts. The first part gives a brief introduction to the overall paper, to fractional order PID (PI?D?) controllers and to Genetic Algorithm (GA). In the second part, first it has been studied how the performance of an integer order PID controller deteriorates when implemented with lossy capacitors in its analog realization. Thereafter it has been shown that the lossy capacitors can be effectively modeled by fractional order terms. Then, a novel GA based method has been proposed to tune the controller parameters such that the original performance is retained even though realized with the same lossy capacitors. Simulation results have been presented to validate the usefulness of the method. Some Ziegler-Nichols type tuning rules for design of fractional order PID controllers have been proposed in the literature [11]. In the third part, a novel GA based method has been proposed which shows how equivalent integer order PID controllers can be obtained which will give performance level similar to those of the fractional order PID controllers thereby removing the complexity involved in the implementation of the latter. It has been shown with extensive simulation results that the equivalent integer order PID controllers more or less retain the robustness and iso-damping properties of the original fractional order PID controllers. Simulation results also show that the equivalent integer order PID controllers are more robust than the normal Ziegler-Nichols tuned PID controllers.

Mukherjee, Bijoy K.; Metia, Santanu

2009-10-01

132

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

133

Adaptive Fractional PID Controller for Robot Manipulator

A Fractional adaptive PID (FPID) controller for a robot manipulator will be proposed. The PID parameters have been optimized by Genetic algorithm. The proposed controller is found robust by means of simulation in a tracking job. The validity of the proposed controller is shown by simulation of two-link robot manipulator. The result then is compared with integer type adaptive PID controller. It is found that when error signals in the learning stage are bounded, the trajectory...

Delavari, H.; Ghaderi, R.; Ranjbar, N. A.; Hosseinnia, S. H.; Momani, S.

2012-01-01

134

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

135

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

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 ...

Oliveira, Vinicius; Karimi, Alireza

2012-01-01

136

Directory of Open Access Journals (Sweden)

Full Text Available This paper present three different control strategies based on PI Control, PID control and Two degree of freedom PID control for Continuous Stirred Tank Reactor (CSTR.CSTR which offers a diverse range of application in the field of chemical engineering as well as in the control engineering and is an attractive research area for process control researchers. Our objective is to control the temperature of CSTR in presence of the set point. MATLAB SIMULINK software is used for model design and simulation

Bikash Dey

2014-01-01

137

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)

138

HIERARCHICAL FUZZY PID CONTROLLER USING GRANULAR COMPUTING FOR INVERTED PENDULUM

Directory of Open Access Journals (Sweden)

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

139

A Novel Evolutionary Tuning Method for Fractional Order PID Controller

Directory of Open Access Journals (Sweden)

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

140

This paper describes the stability regions of PID (Proportional +Integral+ Derivative) and a new PID with series leading correction (SLC) for Networked control system with time delay. The new PID controller has a tuning parameter ‘?’. The relation between ?, KP, KI and KD is derived. The effect of plant parameters on stabilityregion of PID controllers and SLC-PID controllers in first-order and second-order systems with time delay are also studied. Finally, an open-loop zero was inserted...

Rama Reddy, D.; Sailaja, Dr M.

2012-01-01

141

A Practical Application of IMC-PID Controller in Unmanned Vehicle

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...

Qin Gang; Song Le; Hu Ling

2013-01-01

142

Intelligent PID Controller on Soft Computing

The PID control algorithm is used for the control of almost all loops in the process industries, and is also the basis for many advanced control algorithms and strategies. For complex systems, controller’s structure and parameters need to rely on experience and on line tuning to determine. Application of soft computing techniques can realize self-tuning of controller parameters. In this paper, the author applies fuzzy system, neural network technique and genetic algorithm to PID cont...

Honghua Xu; Xiaoqiang Di; Huamin Yang; Guangcai Cui

2012-01-01

143

Multivariable PID Controller For Robotic Manipulator

Gains updated during operation to cope with changes in characteristics and loads. Conceptual multivariable controller for robotic manipulator includes proportional/derivative (PD) controller in inner feedback loop, and proportional/integral/derivative (PID) controller in outer feedback loop. PD controller places poles of transfer function (in Laplace-transform space) of control system for linearized mathematical model of dynamics of robot. PID controller tracks trajectory and decouples input and output.

Seraji, Homayoun; Tarokh, Mahmoud

1990-01-01

144

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.

145

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

Fujii, Kenzo; Yamamoto, Toru

146

Scientific Electronic Library Online (English)

Full Text Available SciELO Colombia | Language: Spanish Abstract in spanish El presente artículo tiene por objeto mostrar una estructura de dos grados de libertad, concebida y diseñada para aproximarse a la experimentación de leyes de control de sistemas tipo helicópteros de cuatro hélices (Quad-Rotor - Unmanned Aerial Vehicle). Se realizó el modelado y control para dicha p [...] lataforma. Dos tipos de control se abarcaron: uno basado en técnicas lineales tipo PID, que hace uso de la linealización por series de Taylor; y el otro basado en técnicas de control difuso. Se deja una plataforma abierta y, mediante la incursión en software-hardware in loop, se habilita para experimentar otras teorías de control. Abstract in english This article is intended to show a structure of two degrees of freedom and two techniques of control. This system was conceived and designed in order to test different system control strategies able to command four-propeller-like helicopters (Quad-Rotor - Unmanned Aerial Vehicle). This platform was [...] modeled and controlled. Two control techniques were included: a linear technique PID-like control that makes use of the Taylor series linearization, and another technique based on fuzzy control. This work leaves an open platform and, through the software-hardware in loop approach, this platform is enabled to develop and test of other control theories.

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

2014-01-01

147

Tuning Of PID Controller Of Inverted Pendulum Using Genetic Algorithm

This paper presents different types of mathematical modelling of Inverted Pendulum and also a Proportional-Intregal-Derative (PID) controller is designed for its stabilization. After desiging of PID controller some reference stable system has been selected and then different types of error has been optimized (minimized) by using Genetic algorithms. The proposed system extends classical inverted pendulum by incorporating two moving masses. Also a tuning mechanism is done by genetic algorithm f...

Kunal Chakraborty; Rabi Ranjan Mukherjee; Suvobratra Mukherjee

2013-01-01

148

Directory of Open Access Journals (Sweden)

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.

???

2013-04-01

149

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

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 ...

Aldair, A. A.

2012-01-01

150

Linear Programming for Optimum PID Controller Tuning

This work presents a new methodology based on Linear Programming (LP) to tune Proportional-Integral-Derivative (PID) control parameters. From a specification of a desired output time domain of the plant, a linear optimization system is proposed to adjust the PID controller leading the output signal to stable operation condition with minimum oscillations. The constraint set used in the optimization process is defined by using numerical inte...

Oliveira, Edimar J.; Honorio, Leonardo M.; Anzai, Alexandre H.; Soares, Tamara X.

2014-01-01

151

A Real Time IMC Tuned PID Controller for DC Motor

This paper presents a Internal Model Control(IMC) tuned PID controller method for the DC motor for robust operation.IMC is a process model approach to design the PID controller parameter to obtain the optimal setpoint tracking and load disturbance rejection.This method of control which is based on the accurate model of the process,leads to the design of a control system that is stable and robust.The results of the IMC tuning method when compared with the Ziegler Nichols (ZN) closed loop tunin...

Saranya, M.; Pamela, Asst Prof D.

2012-01-01

152

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

153

A PID-Sliding Mode Control Design for a Coupled Tank

The sliding mode control (SMC) is strongly requested due to its robustness against the disturbances. The principle of the sliding mode control is to force the system to converge toward a selected surface and then to evolve there in spite of the uncertainties and the disturbances. The surface is defined by a set of relations between the state variables of the system. However, the chattering phenomenon remains the main disadvantage of this robust control. As solution to this p...

Rhif, Ahmed; Kardous, Zohra; Braiek, Naceur Benhadj

2013-01-01

154

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

Adaptive Neuro-fuzzy Inference System (ANFIS) controller was designed to control knee joint during sit to stand movement through electrical stimuli to quadriceps muscles. The developed ANFIS works as an inverse model to the system (functional electrical stimulation (FES)-induced quadriceps-lower leg system), while there is a proportional-integral-derivative (PID) controller in the feedback control. They were designated as ANFIS-PID controller. To evaluate the ANFIS-PID controller, two control...

Rufaida Hussain; Rasha Massoud; Moustafa Al-Mawaldi

2014-01-01

155

Novel intelligent PID control of traveling wave ultrasonic motor.

A simple control strategy with acceptable control performance can be a good choice for the mass production of ultrasonic motor control system. In this paper, through the theoretic and experimental analyses of typical control process, a simpler intelligent PID speed control strategy of TWUM is proposed, involving only two expert rules to adjust the PID control parameters based on the current status. Compared with the traditional PID controller, this design requires less calculation and more cheap chips which can be easily involved in online performance. Experiments with different load torques and voltage amplitudes show that the proposed controller can deal with the nonlinearity and load disturbance to maintain good control performance of TWUM. PMID:24957274

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

2014-09-01

156

A CHS based PID Controller for Unified Power Flow Controller

This paper presents a method for designing of proportional-integral-derivative (PID) controller based on unified power flow controller (UPFC) using chaotic harmony search algorithm (CHS) for damping of low frequency oscillations (LFO) in a power system. The main aim of this paper, optimization of selected gains with the time domainbased objective function which is solved by chaotic harmony search algorithm. The performance of the proposed singlemachine infinite-bus system (SMIB) equipped with...

Jalilzadeh, S.; Noroozian, R.; Bakhshi, M.

2012-01-01

157

The problem discussed is to design a digital controller for a typical satellite. The controlled plant is considered to be a rigid body acting in a plane. The controller is assumed to be a digital computer which, when combined with the proposed control algorithm, can be represented as a sampled-data system. The objective is to present a design strategy and technique for selecting numerical values for the control gains (assuming position, integral, and derivative feedback) and the sample rate. The technique is based on the parameter plane method and requires that the system be amenable to z-transform analysis.

Seltzer, S. M.

1976-01-01

158

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

159

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

160

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

Continuous Stirred Tank Reactor (CSTR) is an important subject in chemical process and offering a diverse range of researches in the area of the chemical and control engineering. Various control approaches have been applied on CSTR to control its parameters. This paper gives the demonstration about the temperature control of CSTR reactor using a fuzzy PID controller to meet the desired temperature in presence of set point changes. The parameters of PID controller can be calculated by conducti...

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

2013-01-01

161

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.

162

A Novel Evolutionary Tuning Method for Fractional Order PID Controller

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...

Subhransu Padhee; Abhinav Gautam; Yaduvir Singh; Gagandeep Kaur

2011-01-01

163

Modeling Of Pid Controller Based Smps Using Fpga

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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

164

Directory of Open Access Journals (Sweden)

Full Text Available This paper describes the stability regions of PID (Proportional +Integral+ Derivative and a new PID with series leading correction (SLC for Networked control system with time delay. The new PID controller has a tuning parameter ‘?’. The relation between ?, KP, KI and KD is derived. The effect of plant parameters on stabilityregion of PID controllers and SLC-PID controllers in first-order and second-order systems with time delay are also studied. Finally, an open-loop zero was inserted into the plant-unstable second order system with time delay so that the stability regions of PID and SLC-PID controllers get effectively enlarged. The total system isimplemented using MATLAB/Simulink.

D. RAMA REDDY

2012-07-01

165

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

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...

Basil Hamed Hamed; Moayed Al-Mobaied

2011-01-01

166

Directory of Open Access Journals (Sweden)

Full Text Available In this study, an on-line tunable gain model free PID-like fuzzy controller (GTFLC is designed forthree degrees of freedom (3DOF robot manipulator to rich the best performance. Fuzzy logiccontroller is studied because of its model free and high performance. Today, robot manipulatorsare used in unknown and unstructured environment and caused to provide sophisticated systems,therefore strong mathematical tools are used in new control methodologies to design adaptivenonlinear robust controller with acceptable performance (e.g., minimum error, good trajectory,disturbance rejection. The strategies of control robot manipulator are classified into two maingroups: classical and non-classical methods, however non linear classical theories have beenapplied successfully in many applications, but they also have some limitation. One of the mostimportant nonlinear non classical robust controller that can used in uncertainty nonlinear systems,are fuzzy logic controller. This paper is focuses on applied mathematical tunable gain method inrobust non classical method to reduce the fuzzy logic controller limitations. Therefore on-linetunable PID like fuzzy logic controller will be presented in this paper.

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

2011-10-01

167

Variable-order fuzzy fractional PID controller.

In this paper, a new tuning method of variable-order fractional fuzzy PID controller (VOFFLC) is proposed for a class of fractional-order and integer-order control plants. Fuzzy logic control (FLC) could easily deal with parameter variations of control system, but the fractional-order parameters are unable to change through this way and it has confined the effectiveness of FLC. Therefore, an attempt is made in this paper to allow all the five parameters of fractional-order PID controller vary along with the transformation of system structure as the outputs of FLC, and the influence of fractional orders ? and ? on control systems has been investigated to make the fuzzy rules for VOFFLC. Four simulation results of different plants are shown to verify the availability of the proposed control strategy. PMID:25440947

Liu, Lu; Pan, Feng; Xue, Dingyu

2014-10-29

168

PID controller tuning of networked computer based control systems

This contribution discusses the use of PID controller tuning rules to assist in the implementation of network computer based control systems. Such systems typically have a variable time delay associated with the transfer of information. PID controller tuning rules can be directly implemented with minimal capital investment.

O Dwyer, Aidan

2005-01-01

169

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

170

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

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...

Zhang Kai; Jiang Jing; Zhang Shutuan

2013-01-01

171

Setpoint Weighted PID Controller for the Electromechanical Actuator in Spacecraft

Directory of Open Access Journals (Sweden)

Full Text Available An intelligent control system for the rocket engine during electromechanical stage is designed and scrutinized in this paper. The rocket is the only vehicle that lift-offs the spacecraft in the space. But, the motion of the rocket can be influenced by internal and external disturbances. Furthermore, the rocket is a multi-input and multi-output nonlinear system whose dynamics are unstable and poorly understood. So the orientation of the spacecraft in precise position is so critical. Hence, attitude control of the rocket is a big challenge with real time. To make the rocket stable against the influences, this paper has examined the control technology such as linear quadratic regulator theory and setpoint weighted proportional integral derivative controller based on the two degree of freedom mathematical model. The transient behaviour of the LQR controller is not smooth and takes more time to settle in the defined position. Specific to the deficiencies of LQR, a setpoint weighted PID controller is proposed to improve the setpoint response. In conclusion, this paper compares the performance analysis of linear quadratic regulator and setpoint weighted PID controller. The simulation results indicate that the setpoint weighted PID controller has a remarkable improvement in terms of overshoot and settling time besides reducing steady state error. The proposed setpoint weighted PID controller enhances the system performance and produces enormous stability to the rocket engine.

R. Sumathi

2014-05-01

172

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

173

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

174

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

Directory of Open Access Journals (Sweden)

Full Text Available An Optimal Design of PID Controller is proposed in this paper. The Methodology of PSO Algorithm is utilized to search the optimal parameters of Proportional Integral Derivative (PID Controller for BLDC Motor. PSO is an Evolutionary Optimization Technique. A Linear Brushless DC Motors are known for higher efficiency and lower maintenance. The Brushless DC Motor is modeled in Simulink & tuning of PID controller using PSO is implemented in MATLAB. This Method was more efficient for Step Response Characteristics.

Pooja Sharma,

2014-05-01

175

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

An Optimal Design of PID Controller is proposed in this paper. The Methodology of PSO Algorithm is utilized to search the optimal parameters of Proportional Integral Derivative (PID) Controller for BLDC Motor. PSO is an Evolutionary Optimization Technique. A Linear Brushless DC Motors are known for higher efficiency and lower maintenance. The Brushless DC Motor is modeled in Simulink & tuning of PID controller using PSO is implemented in MATLAB. This Method was more efficient ...

Pooja Sharma; Rajeev Gupta

2014-01-01

176

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...

Agees Kumar, C.; Kesavan Nair, N.

2010-01-01

177

This paper present three different control strategies based on PI Control, PID control and Two degree of freedom PID control for Continuous Stirred Tank Reactor (CSTR).CSTR which offers a diverse range of application in the field of chemical engineering as well as in the control engineering and is an attractive research area for process control researchers. Our objective is to control the temperature of CSTR in presence of the set point. MATLAB SIMULINK software is used for mo...

Bikash Dey; Lusika Roy

2014-01-01

178

ROBUST INTERNAL MODEL CONTROL STRATEGY BASED PID CONTROLLER FOR BLDCM

All the closed loop control system requires the controller for improvement of transient response of the error signal. Though the tuning of PID controller in real time is bit difficult and moreover it lacks the disturbance rejection capability. This paper presents a tuning of PID parameters based on internal model strategy. The advantageous of the proposed control strategy is well described in the paper. To test the validity of the proposed control, it is implemented in brushless dc motor driv...

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

2010-01-01

179

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

180

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

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.

Soltesz, Kristian; Heusden, Klaske; Dumont, Guy A.; Hägglund, Tore; Petersen, Christian; West, Nicholas; Ansermino, J. Mark

2012-01-01

181

PID control is used widely in hydraulic servo control system. The PID control parameters are very important to performance of hydraulic servo control system and how to find rapidly the optimum values of PID control parameters is very difficult problem. Based on Matlab/simulink software and taking the IATE standards of the optimization design as objective function, a global search optimization method, called Artificial Bee Colony Optimization Algorithm was applied for the o...

Youxin Luo; Xiaoyi Che; Zhaoguo Chen

2012-01-01

182

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

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 resu...

Mansoor, A. K.; Salih, T. A.; Abdullah, F. S.

2013-01-01

183

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

184

PID Control in the Third Millennium Lessons Learned and New Approaches

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

185

Research on CNC Machine Tool Fuzzy Immune PID Position Controller

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 ...

Guoyong Zhao; Yong Shen; Lili Zhang

2013-01-01

186

??????????? ??? ???????? ????? ? ??????? ??? ??????????????? ??????????? Quadrotor ?? ????? ??????? PID. ?? ?????????? Quadrotor ????? ??? ?? ????????, ???????, ?????????????????? ???????. ??? ?????? ???? ??????, ? ??????? ??? ??????????? ?????? ??????????. ? ???????? PID ?????? ???...

??????, ???????

2011-01-01

187

Fuzzy PID Position Control Approach in Computer Numerical Control Machine Tool

Directory of Open Access Journals (Sweden)

Full Text Available The traditional PID control approach is often adopted in CNC machine tool position controller. The approach is simple and easy to implement, but can’t achieve rapid adjustment and less overshoot at the same time. Consequently, on the basis of analyzing fuzzy control theory and design method, the CNC machine tool fuzzy PID position control approach is developed in the paper. The approach makes full use of the advantages of fuzzy control and PID control. The experiment results show that in contrast to traditional PID position controller, the developed approach can achieve better rapidity, shorter adjust time and satisfied overshoot. It is much significant to high-precision CNC machining.

Guoyong Zhao

2013-03-01

188

PID and predictive control of electrical drives and power converters using Matlab Simulink

A timely introduction to current research on PID and predictive control by one of the leading authors on the subject PID and Predictive Control of Electric Drives and Power Supplies using MATLAB/Simulink examines the classical control system strategies, such as PID control, feed-forward control and cascade control, which are widely used in current practice. The authors share their experiences in actual design and implementation of the control systems on laboratory test-beds, taking the reader from the fundamentals through to more sophisticated design and analysis. The book contains secti

Wang, Liuping; Yoo, Dae; Gan, Lu; Ng, Ki

2014-01-01

189

Research on CNC Machine Tool Fuzzy Immune PID Position Controller

Directory of Open Access Journals (Sweden)

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

190

Fractional order PID controller for improvement of PMSM speed control in aerospace applications

Because of the benefits reduced size, cost and maintenance, noise, CO2 emissions and increased control flexibility and precision, to meet these expectations, electrical equipment increasingly utilize in modern aircraft systems and aerospace industry rather than conventional mechanic, hydraulic, and pneumatic power systems. Electric motor drives are capable of converting electrical power to drive actuators, pumps, compressors, and other subsystems at variable speeds. In the past decades, permanent magnet synchronous motor (PMSM) and brushless dc (BLDC) motor were investigated for aerospace applications such as aircraft actuators. In this paper, the fractional-order PID controller is used in the design of speed loop of PMSM speed control system. Having more parameters for tuning fractional order PID controller lead to good performance ratio to integer order. This good performance is shown by comparison fractional order PID controller with the conventional PI and tuned PID controller by Genetic algorithm in MATLAB soft wear.

Saraji, Ali Motalebi; Ghanbari, Mahmood

2014-12-01

191

There exist several problems in the control of vehicle brake including the development of control logic for anti-lock braking system (ABS), base-braking and intelligent braking. Here we study the intelligent braking control where we seek to develop a controller that can ensure that the braking torque commended by the driver will be achieved. In particular, we develop, a new PID Fuzzy controller (PIDFC) based on parallel operation of PI Fuzzy and PD Fuzzy control. Two fuzzy rule bases are constructed by separating the linguistic control rule for PID Fuzzy control into two parts: The first part is e-?e and the second part is ?2e-?e respectively. Then two Fuzzy controls employing these rules bases individually are synthesized and run in parallel. The incremental control input is determined by taking weighted mean of the outputs of two Fuzzy controls. The result, which proves the merit of the proposed method are compared to those found in the previous research.

Sugisaka, Masanori; Mbaïtiga, Zacharie

192

Neural Control based on Incomplete Derivative PID Algorithm

Directory of Open Access Journals (Sweden)

Full Text Available In the actual control, complete differential digital PID algorithms have been widely used. But the differential will amplify high-frequency noise. If the differential response is too sensitive, it is easy to cause the control process oscillation, incomplete PID control algorithms can overcome the differential oscillation. Incomplete derivative PID algorithm combined with neural network improves the system control quality, it has the important practical significance. The simulation shows it has good position tracking performance and high robustness.

QiZhi Wang

2013-04-01

193

Modeling Of Pid Controller Based Smps Using Fpga

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...

Patil, Shubhangi V.; Shukla, Tejashree R.; Shah, Paresh J.

2013-01-01

194

Piecewise-linear artificial neural networks for PID controller tuning

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 o...

Petr Doležel; Ivan Taufer

2012-01-01

195

Predictive PID Control Based on GPC Control of Inverted Pendulum

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Full Text Available Having regard to the large application of the inverted pendulum in robotic system, this study is interested in controlling this process with two strategies of controls. The first proposed control is the state feedback with an observer based on the Generalized Predictive Control (GPC algorithm. In the second proposed control we used the characteristic of predictive control GPC to improve the performance of the classical PID controller. The obtained results have been discussed and compared; the simulation results obtained by the predictive PID control are mentioned.

Safa Bouhajar

2014-05-01

196

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

Design of an accurate and robust controller is challenging topic in underwater manipulator control. This is due to hydrodynamic disturbances in underwater environment. In this paper a sliding mode control (SMC) included a PID sliding surface and fuzzy tunable gain is designed. In this proposed controller robustness property of SMC and fast response of PID are incorporated with fuzzy rules to reduce error tracking. In the control law, for remove of chattering, the exponential function is used....

Hossein Nejatbakhsh Esfahani; Vahid Azimirad

2013-01-01

197

International Nuclear Information System (INIS)

Highlights: ? We extend the concept of co-operation and co-evolution in some PSO variants. ? We use developed co-operative PSOs in multivariable PID controller design/tuning. ? We find that co-operative PSOs converge faster and give high quality solutions. ? Dividing the search space among swarms improves search efficiency. ? The proposed methods allow the practitioner for heterogeneous problem formulation. - Abstract: In this paper, multivariable PID controller design based on cooperative and coevolving multiple swarms is demonstrated. A simplified multi-variable MIMO process model of a ball mill pulverizing system with steady state decoupler is considered. In order to formulate computational models of cooperative and coevolving multiple swarms three different algorithms like real coded PSO, discrete binary PSO (DBPSO) and probability based discrete binary PSO (PBPSO) are employed. Simulations are carried out on three composite functions simultaneously considering multiple objectives. The cooperative and coevolving multiple swarms based results are compared with the results obtained through single swarm based methods like real coded particle swarm optimization (PSO), discrete binary PSO (DBPSO), and probability based discrete binary PSO (PBPSO) algorithms. The cooperative and coevolving swarms based techniques outperform the real coded PSO, PBPSO, and the standard discrete binary PSO (DBPSO) algorithm in escaping from local optima. Furthermore, statistical ptima. Furthermore, statistical analysis of the simulation results is performed to calculate the comparative reliability of various techniques. All of the techniques employed are suitable for controller tuning, however, the multiple cooperative and coevolving swarms based results are considerably better in terms of mean fitness, variance of fitness, and success rate in finding a feasible solution in comparison to those obtained using single swarm based methods.

198

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...

Ankit Rastogi,; Pratibha Tiwari,

2013-01-01

199

Experimental simulation system of fuzzy PID control on nuclear reactor

International Nuclear Information System (INIS)

A set of experimental simulation system is constructed to simulate the nuclear reactor, study of fuzzy PID control on nuclear reactor is done on this simulation system, and control result show that when reactor load change and coolant temperature's change can be soon restrained by using fuzzy PID controller, and precision of steady state is high, so good control result can be gotten

200

Scientific Electronic Library Online (English)

Full Text Available SciELO Colombia | Language: Spanish Abstract in portuguese Neste artigo compara-se o desempenho de dois controladores -o proporcional integral derivativo (PID) e o difuso- sobre uma plataforma comercial, utilizada normalmente em aeromodelismo, o servomotor Futaba S3004. Antes de realizar a identificação sobre o motor, modificam-se o circuito de controle, a [...] etapa de potência e o sensor. Posteriormente utiliza-se o método do lugar das raízes para sintonizar o PID no controle da posição angular. As simulações e o controle realizam-se desde Simulink de MATLAB®, no qual se usa também uma placa de aquisição de dados, a PCI 6024E. No final do documento analisam-se os resultados e observa-se que o controlador PID tem o melhor comportamento, mas o do controlador difuso é comparável. Abstract in spanish En este artículo se compara el desempeño de dos controladores -el proporcional integral derivativo (PID) y el difuso- sobre una plataforma comercial, utilizada normalmente en aeromodelismo, el servomotor Futaba S3004. Antes de realizar la identificación sobre el motor, se modifican el circuito de co [...] ntrol, la etapa de potencia y el sensor. Enseguida se utiliza el método del lugar de las raíces para sintonizar el PID en el control de la posición angular. Las simulaciones y el control se realizan desde Simulink de MATLAB®, en lo cual se usa además una tarjeta de adquisición de datos, la PCI 6024E. Al final del documento se analizan los resultados y se observa que si bien el controlador PID tiene el mejor comportamiento, el del controlador difuso es comparable. Abstract in english The performance of PID and fuzzy controllers is compared in a commercial device normally used in model airplanes: the S3004 Futaba Servo. The controller circuit, the power amplifier and the sensor are modified, and then the motor is observed. Next, a root-locus method is used to tune a PID for angul [...] ar position control. Simulations and control are made in Matlab's Simulink, and also a data acquisition card (PCI 6024E) is used. Results are analyzed at the end of the document: although the PID controller works better, the fuzzy controller shows a similar performance.

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

2010-01-01

201

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

Directory of Open Access Journals (Sweden)

Full Text Available The design of intelligent control systems has become an area of intense research interest. The development of an effective methodology for the design of such control systems undoubtedly requires the synthesis of many concepts from artificial intelligence. The most commonly used controller in the industry field is the proportional-plus-integral-plus-derivative (PID controller. Fuzzy logic controller (FLC provides an alternative to PID controller, especially when the available system models are inexact or unavailable. Also rapid advances in digital technologies have given designers the option of implementing controllers using Field Programmable Gate Array (FPGA which depends on parallel programming. This method has many advantages over classical microprocessors. In this research, A model of the fuzzy PID control system is implemented in real time with a Xilinx FPGA (Spartan-3A, Xilinx Company, 2007. It is introduced to maintain a constant speed to when the load varies.,The model of a DC motor is considered as a second order system with load variation as a an example for complex model systems. For comparison purpose, two widely used controllers “PID and Fuzzy” have been implemented in the same FPGA card to examine the performance of the proposed system. These controllers have been tested using Matlab/Simulink program under speed and load variation conditions. The controllers were implemented to run the motor as real time application under speed and load variation conditions and showed the superiority of Fuzzy-PID.

Basil Hamed Hamed

2011-08-01

202

This paper proposes a new dc to dc boost converter using closed loop control proportional Integral and Derivative mechanism for photovoltaic (PV) standalone high voltage applications. The boost converter is composed of MOSFETs which are driven by closed loop PWM control. Many advantages including high efficiency, minimum number of switch, high voltage and power, low cost. This converter is attractive for high voltage and high power applications. The analysis and design considerations of th...

Arulmurugan, R.; Suthanthira Vanitha, N.

2012-01-01

203

Self tuning fuzzy PID type load and frequency controller

International Nuclear Information System (INIS)

In this paper, a self tuning fuzzy PID type controller is proposed for solving the load frequency control (LFC) problem. The fuzzy PID type controller is constructed as a set of control rules, and the control signal is directly deduced from the knowledge base and the fuzzy inference. Moreover, there exists a self tuning mechanism that adjusts the input scaling factor corresponding to the derivative coefficient and the output scaling factor corresponding to the integral coefficient of the PID type fuzzy logic controller in an on-line manner. The self tuning mechanism depends on the peak observer idea, and this idea is modified and adapted to the LFC problem. A two area interconnected system is assumed for demonstrations. The proposed self tuning fuzzy PID type controller has been compared with the fuzzy PID type controller without a self tuning mechanism and the conventional integral controller through some performance indices

204

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

Directory of Open Access Journals (Sweden)

Full Text Available Adaptive Neuro-fuzzy Inference System (ANFIS controller was designed to control knee joint during sit to stand movement through electrical stimuli to quadriceps muscles. The developed ANFIS works as an inverse model to the system (functional electrical stimulation (FES-induced quadriceps-lower leg system, while there is a proportional-integral-derivative (PID controller in the feedback control. They were designated as ANFIS-PID controller. To evaluate the ANFIS-PID controller, two controllers were developed: open loop and feedback controllers. The results showed that ANFIS-PID controller not only succeeded in controlling knee joint motion during sit to stand movement, but also reduced the deviations between desired trajectory and actual knee movement to ±5°. Promising simulation results provide the potential for feasible clinical application in the future.

Rufaida Hussain

2014-03-01

205

Soft Real-Time PID Control on a VME Computer

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

206

Research on digital PID control algorithm for HPCT

International Nuclear Information System (INIS)

Digital PID applied in high-precision HPCT (High-precision current transducer) based on Digital Signal Processor (DSP) TMS320F2812 and special D/A converter was researched. By using increment style PID Control algorithm, the stability and precision of high-precision HPCT output voltage is improved. On basis of deeply analysing incremental digital PID, the scheme model of HPCT is proposed, the feasibility simulation using Matlab is given. Practical hardware circuit verified the incremental PID has closed-loop control process in tracking HPCT output voltage. (authors)

207

Energy Technology Data Exchange (ETDEWEB)

The proportional integral derived function (PID) control is certainly not the most efficient but it is the most widely control used in regulation systems. The implementation of a PID regulator does not offer all adjustment possibilities of modern methods and it is in general impossible to make open-loop tests to identify the regulated system. This paper presents two concrete applications of PID control systems: one for a temperature regulation and the other for the servo-control of a mechanical system driven by a brush-less motor. The adjustment is performed using the classical momentum and frequency methods: 1 - PID control; 2 - efficiencies obtained in close loop configuration; 3 - principle of the experimental adjustment method of PID systems; 4 - experimental identification in close-loop configuration; 5 - calculation principle of a PID corrector; 6 - PID control for a class 0 system; 7 - calculation of a PID corrector for a class 1 system; 8 - PID position regulation of a brush-less motor; 9 - remarks about the numerical calculation of the control; 10 - summary of the models presented. (J.S.)

Jacob, D. [Institut Universitaire de Technologie, 86 - Poitiers (France)

2004-09-15

208

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

Fliess, Michel

2009-01-01

209

HIERARCHICAL FUZZY PID CONTROLLER USING GRANULAR COMPUTING FOR INVERTED PENDULUM

The inverted pendulum (IP) is among the most difficult systems to control in the field of control engineering. The process is non linear and unstable. The objective of this paper is to balance the pendulum vertically on a motor driven wagon by the use of hierarchical fuzzy PID controller. The hierarchical fuzzy PID controller divides the control system into multiple granular levels and adopts different control strategies in different granularities. We use different fuzzy controls forcoarse ad...

Pottem Sai Tharun, M. J. Nigam

2013-01-01

210

Tuning parameters of PID controller based on fuzzy logic controlled genetic algorithms

To solve the problem of tuning parameters of PID controller using the conventional genetic algorithm, an improved genetic algorithm based on fuzzy inference is proposed. On the basis of generalizing heuristic knowledge about crossover and mutation operations, a fuzzy controller is designed to adaptively adjust the crossover rate and mutation rate. The fuzzy logic controlled genetic algorithm (FCGA) improves global optimization ability of the standard genetic algorithm. We apply it to adaptive PID controller. The comparison between the FCGA and the SGA is performed, which demonstrates that the FCGA has much better capability of parameters optimization and convergent speed, and it can also fulfill the requirement of real-time control.

Feng, Dongqing; Wang, Xiaopei; Fei, Minrui; Chen, Tiejun

2006-11-01

211

Directory of Open Access Journals (Sweden)

Full Text Available This paper proposes a new dc to dc boost converter using closed loop control proportional Integral and Derivative mechanism for photovoltaic (PV standalone high voltage applications. The boost converter is composed of MOSFETs which are driven by closed loop PWM control. Many advantages including high efficiency, minimum number of switch, high voltage and power, low cost. This converter is attractive for high voltage and high power applications. The analysis and design considerations of the converter are presented. A prototype was implemented for an application requiring a 410W output power, input voltage range from 17.1-V, and a 317-V output voltage. The proposed system efficiency is about 90%.

R. Arulmurugan

2012-10-01

212

Directory of Open Access Journals (Sweden)

Full Text Available This paper proposes a new dc to dc boost converter using closed loop control proportional Integral and Derivative mechanism for photovoltaic (PV standalone high voltage applications. The boost converter is composed of MOSFETs which are driven by closed loop PWM control. Many advantages including high efficiency, minimum number of switch, high voltage and power, low cost. This converter is attractive for high voltage and high power applications. The analysis and design considerations of the converter are presented. A prototype was implemented for an application requiring a 410W output power, input voltage range from 17.1-V, and a 317-V output voltage. The proposed system efficiency is about 90%.

R. Arulmurugan

2013-07-01

213

The study designs PID mathematical model and algorithm of the central air conditioning temperature control based on genetic algorithm. In order to test availability of the procedure and algorithm, we use the MATLAB software to do numerical simulation on different algorithms. Through calculation we found that delay time of the PID controller based on genetic algorithm designed in this paper is 92 seconds, less than the other two algorithms. The time which ne...

Gaojian Li

2013-01-01

214

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

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

215

Improving Structural Limitations of Pid Controller For Unstable Processes

PID controllers have structural limitations which make it impossible for a good closed-loop performance to be achieved. A step response with high overshoot and oscillations always results. In controlling processes with resonances, integrators and unstable transfer functions, the PI-PD controller provides a satisfactory closed-loop performance. In this paper, a simple approach to extracting parameters of a PI-PD controller from parameters of the conventional PID controller is p...

Ezema, E. E.; Eneh, I. I.

2014-01-01

216

PID Fuzzy Logic Controller System for DC Motor Speed Control

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 overco...

H. Samsul Bachri M.

2004-01-01

217

Poultry House Temperature Control Using Fuzzy-PID Controller

Temperature control of poultry house within thermal neutral zone of poultry birds is essential in order to reduce their mortality and increase production. The most advanced method to control the highly complex and nonlinear behaviour of the poultry house temperature, is fuzzy logic. On the other hand, PID controllers are used in most of poultry house due to its functional and structural simplicity. This paper presents a method of controlling the poultry house temperature by the combined actio...

Aborisade David O; Oladipo Stephen

2014-01-01

218

Performance Analysis of Ship Tracking using PID/Fuzzy Controller

Accurate ship Path following is an issue of the Marine Navigation Technology. In order to achieve accurate path following in ship navigation various controllers like PID(Proportional-Integral-Derivative), Adaptive and Predictive controllers are used. However, the main problem of ships is the PID controller is that they are set to work under specific conditions. Even though predictive controllers have predictive capability and are giving accurate results but they are computationally complex. I...

Sanjay N, Adinath Jain

2013-01-01

219

Energy Analysis of Pid Controlled Heat Pump Dryer

In this experimental study, a heat pump dryer was designed and manufactured, in which drying air temperature was controlled PID. Manufactured heat pump dryer was tested in drying kiwi, avocado and banana from among tropical fruits and energy and exergy analyses were made. Drying air temperature changed between 40 oC - 40.2 oC while drying the tropical fruits. Before the drying process in heat pump dryer, initial moisture contents were determined as 4.31 g water / g dry matter for kiwi, 1.51 g...

Ceylan, Ilhan

2009-01-01

220

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

This work deals with an hybrid PID+fuzzy logic controller applied to control the machine tool biaxial table motions. The non-linear model includes backlash and the axis elasticity. Two PID controllers do the primary table control. A third PID+fuzzy controller has a cross coupled structure whose function is to minimise the trajectory contour errors. Once with the three PID controllers tuned, the system is simulated with and without the third controller. The responses results are plotted and co...

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

1999-01-01

221

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

This paper deals with the modelling, simulation-based controller design and path planning of a four rotor helicopter known as a quadrotor. All the drags, aerodynamic, coriolis and gyroscopic effect are neglected. A Newton-Euler formulation is used to derive the mathematical model. A smart self-tuning fuzzy PID controller based on an EKF algorithm is proposed for the attitude and position control of the quadrotor. The PID gains are tuned using a self-tuning fuzzy algorithm. The self-tuning of ...

Deepak Gautam; Cheolkeun Ha

2013-01-01

222

PID control for chaotic synchronization using particle swarm optimization

International Nuclear Information System (INIS)

In this paper, we attempt to use the proportional-integral-derivative (PID) controller to achieve the chaos synchronization for delayed discrete chaotic systems. Three PID control gains can be optimally determined by means of using a novel optimization algorithm, called the particle swarm optimization (PSO). The algorithm is motivated from the organism behavior of fish schooling and bird flocking, and involves the social psychology principles in socio-cognition human agents and evolutionary computations. It has a good numerical convergence for solving optimization problem. To show the validity of the PSO-based PID control for chaos synchronization, several cases with different initial populations are considered and some simulation results are shown.

223

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

224

PID feedback control of monochromator thermal stabilization

International Nuclear Information System (INIS)

The desire for increasingly smaller X-ray beams for macromolecular crystallography experiments also stimulates the need for improvements in beam stability. There are numerous sources of instability, which influence beam quality on the micron-size scale. Typically, the most problematic source is thermal drift within the double crystal monochromators. In addition to using liquid nitrogen to indirectly cool both the first and second crystals, GM/CA-CAT previously used a combination of flowing water at constant temperature and copper braiding to stabilize the mechanics, mounts, and the Compton scatter shielding. However, the copper braids inefficiently stabilized the temperature of components that were distant from the water lines. Additionally, vibrations in the water lines propagated throughout the vibrationally dampened monochromator, thereby introducing both positional and intensity instabilities in the transmitted X-ray beam. To address these problems, heating pads were placed directly onto the temperature-sensitive components, with output controlled by a PID-feedback loop. As a result, there is negligible temperature change in the first crystal radiation shielding over the entire range of operational heat loads. Additionally, the angular drift in the second crystal induced by temperature changes in other components is dramatically decreased.

225

The degree of speed control of ship machinery effects on the economics and optimization of the machinery configuration and operation. All marine vessel ranging need some sort of speed control system to control and govern the speed of the marine diesel engines. The main focus of this study is to apply and comparative between two specific soft-computing techniques. Fuzzy logic controller and genetic algorithm to design and tuning of PID controller for applied on speed control system of marine d...

Naeim Farouk

2012-01-01

226

Variable Structure PID Control to Prevent Integrator Windup

PID controllers are frequently used to control systems requiring zero steady-state error while maintaining requirements for settling time and robustness (gain/phase margins). PID controllers suffer significant loss of performance due to short-term integrator wind-up when used in systems with actuator saturation. We examine several existing and proposed methods for the prevention of integrator wind-up in both continuous and discrete time implementations.

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

1999-01-01

227

Directory of Open Access Journals (Sweden)

Full Text Available The main objective of the combustion controller in a thermal power plant is to regulate fuel and air in proper ratio to maintain the desired steam pressure at the turbine inlet, irrespective of the changes in steam demand. To achieve a continuous supply of steam at the desired pressure conditions is difficult to cope with inherenttime delay, nonlinearity due to uncertainty of the combustion process and frequent load changes. This paper deals with the design of behavior response computation based approach to get the optimal PID controller parameters for the combustion control of utility boiler. A separate control model is developed for Fuel and Air system. The control model for fuel will drive the Fuel controller which is cascaded with Air controller. PID controller for Air and Fuelsystem will use the optimum PID parameter derived from response based computation method. Many steady state and dynamic behavioral responses were analyzed for different load conditions. A lab scale experimental setup is fabricated in the laboratory for fuel and air control and tests were carried out for several load conditions. Optimal PID controller parameters were obtained when the experimental responses have good agreement with the real time behavior responses. The advantages of the proposed design are highlighted.

A.Selwin Mich Priyadharson

2012-02-01

228

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

229

Speed Control of DC Motor Using Extended Kalman FilterBased Fuzzy PID

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; Hamed Mojallali; Yaser Bostani

2013-01-01

230

Performance Analysis of Ship Tracking using PID/Fuzzy Controller

Directory of Open Access Journals (Sweden)

Full Text Available Accurate ship Path following is an issue of the Marine Navigation Technology. In order to achieve accurate path following in ship navigation various controllers like PID(Proportional-Integral-Derivative, Adaptive and Predictive controllers are used. However, the main problem of ships is the PID controller is that they are set to work under specific conditions. Even though predictive controllers have predictive capability and are giving accurate results but they are computationally complex. In this work an attempt is made to evaluate the performance of Adaptive (Fuzzy logic and PID controllers in terms of tracking efficiency and computational time. Computational result evaluated using mat lab shows that Adaptive (Fuzzy logic provides better tracking performance than PID.

Sanjay.N1 , Adinath Jain2 , Dr.S.A.Hariprasad

2013-06-01

231

Nonlinear process control using adaptive predictive PID controller

International Nuclear Information System (INIS)

An adaptive PID control algorithm based on a neural network based predictor is presented to control nonlinear processes with time-delay. The architecture of a feed forward neural network based d-step predictor is given. In order to speed up the training of the neural network, a recursive least squares fast training algorithm is applied to on-line neural model identification. Simulation shows the presented method is effective for compensation of time-delay

232

The ability of proportional integral (PI) and proportional integral derivative (PID) controllers to compensate many practical industrial processes has led to their wide acceptance in industrial applications. The requirement to choose either two or three controller parameters is perhaps most easily done using tuning rules. A summary of tuning rules for the PID control of single input, single output (SISO) processes with time delay is provided in this paper.

O Dwyer, Aidan

2000-01-01

233

FPGA Realization of PID Controller Based on BP Neural Network

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; Yourui Huang; Liguo Qu; Chaoli Tang

2013-01-01

234

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

This paper focuses on design of a glucose concentration control system based on nonlinear model plant of E. coli MC4110 fed-batch cultivation process. Due to significant time delay in real time glucose concentration measurement, a correction is proposed in glucose concentration measurement and a Smith predictor (SP) control structure based on universal PID controller is designed. To reduce the influence of model error in SP structure the estimate of measured glucose concentration is used. For...

Tsonyo Slavov; Olympia Roeva

2011-01-01

235

Tuning method for multi-variable control system with PID controllers

International Nuclear Information System (INIS)

Control systems, including thermal and nuclear power plants, generally and mainly use PID controllers consisting of proportional, integral and differential actions. These systems consist of multiple control loops which interfere with each other. Therefore, it is present status that the fine control of the system is carried out by the trial and error method because the adjusting procedure for a single control loop cannot be applied to a multi-loop system in most cases. In this report, a method to effectively adjust PID controller parameters in a short time in a control system which consists of multi-loops that interfere with each other. This method makes adjustment by using the control area as the evaluation function, which is the time-dependent integration of control deviation, the input to the PID controllers. In other words, the evaluation function is provided for each control result for every parameter (gain constant, reset rate, and differentiation time), and all parameters are simultaneously changed in the direction of minimizing the values of these evaluation functions. In the report, the principle of tuning method, the evaluation function for each of three parameters, and the adjusting system configuration for separately using for actual plant tuning and for control system design are described. It also shows the examples of application to the actual tuning of the control system for a thermal power plant and to a control system design. (Wakatsuki, Y.) system design. (Wakatsuki, Y.)

236

A summary of tuning rules for the PID control of single input, single output (SISO) processes with time delay, modeled in stable first order lag plus time delay (FOLPD) form, is provided in this part of the paper.

O Dwyer, Aidan

1999-01-01

237

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

Directory of Open Access Journals (Sweden)

Full Text Available The closed loop control of PMDC drive with an inner current controller and an outer PID-ANN (Proportional Integral Derivative – Artificial Neural Network based speed controller is designed and presented in this paper. Motor is fed by DC / DC buck converter (DC Chopper. The controller is used to change the duty cycle of the converter and thereby, the voltage fed to the PMDC motor to regulate the speed. The PID-ANN controller designed was evaluated by computer simulation and it was implemented using an 8051 based embedded system. This system will operate in forward motoring with variable speed.

M. Madheswaran

2012-04-01

238

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

The closed loop control of PMDC drive with an inner current controller and an outer PID-ANN (Proportional Integral Derivative – Artificial Neural Network) based speed controller is designed and presented in this paper. Motor is fed by DC / DC buck converter (DC Chopper). The controller is used to change the duty cycle of the converter and thereby, the voltage fed to the PMDC motor to regulate the speed. The PID-ANN controller designed was evaluated by computer simulation and it was implemen...

Madheswaran, M.; Muruganandam, M.

2012-01-01

239

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

Directory of Open Access Journals (Sweden)

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

240

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

241

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

242

Genetic Tuned PID Controller Based Speed Control of DC Motor Drive

Directory of Open Access Journals (Sweden)

Full Text Available Due to its extensive use for motion control systems in industry, tuning of the proportional-integral-derivative (PID controller parameters has been the focus of intensive research. In this paper, a novel tuning method for the parameters of PID controller based speed control of DC motor using genetic algorithm (GA is proposed. The main advantage of the proposed method is that the mathematical model of the system under control is not required, so it is useful in many industrial processes that have no obvious or complicated model. In addition, this method allows determining the best values of PID parameters for a specified overshoot, rise time, settling time, and steady-state error. The DC motor with the designed PID controller is modelled and the simulation results are obtained. The obtained results are compared with those of conventional Ziegler Nichols (ZN, GA based integral absolute of the error (IAE index, and GA based mean of the squared error (MSE index methods. The comparison indicates effectiveness of the proposed tuning method as it gives a better performance and satisfies the specified control characteristics.

S. A. Deraz

2014-11-01

243

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

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

244

Relay feedback tuning of robust PID controllers with iso-damping property.

A new tuning method for proportional-integral-derivative (PID) controller design is proposed for a class of unknown, stable, and minimum phase plants. We are able to design a PID controller to ensure that the phase Bode plot is flat, i.e., the phase derivative w.r.t. the frequency is zero, at a given frequency called the "tangent frequency" so that the closed-loop system is robust to gain variations and the step responses exhibit an iso-damping property. At the "tangent frequency," the Nyquist curve tangentially touches the sensitivity circle. Several relay feedback tests are used to identify the plant gain and phase at the tangent frequency in an iterative way. The identified plant gain and phase at the desired tangent frequency are used to estimate the derivatives of amplitude and phase of the plant with respect to frequency at the same frequency point by Bode's integral relationship. Then, these derivatives are used to design a PID controller for slope adjustment of the Nyquist plot to achieve the robustness of the system to gain variations. No plant model is assumed during the PID controller design. Only several relay tests are needed. Simulation examples illustrate the effectiveness and the simplicity of the proposed method for robust PID controller design with an iso-damping property. PMID:15719930

Chen, YangQuan; Moore, Kevin L

2005-02-01

245

Tuning and Application of Integer and Fractional Order PID Controllers

Fractional calculus (FC) is widely used in most areas of science and engineering, being recognized its ability to yield a superior modeling and control in many dynamical systems. In this perspective, this article illustrates two applications of FC in the area of control systems. Firstly, is presented a methodology of tuning PID controllers that gives closed-loop systems robust to gain variations. After, a fractional-order PID controller is proposed for the control of an hexapod robot with three dof legs. In both cases, it is demonstrated the system's superior performance by using the FC concepts.

Barbosa, Ramiro S.; Silva, Manuel F.; Machado, J. A. Tenreiro

246

Optimization of PID Parameter In Control System Tuning With Multi-Objective Genetic Algorithm.

Directory of Open Access Journals (Sweden)

Full Text Available Way of playing advancement is the out-standing design of the study of PID control and frequently research work has been guided for this aspiration. The Proportional plus Integral plus Derivative (PID, controllers are most sweepingly used in control theory as well as industrial plants owing to their ease of execution and sturdiness way of playing. The aspiration of this deed representation capable and apace tuning approach using Genetic Algorithm (GA to obtain the optimized criterion of the PID controller so as to acquire the essential appearance designation of the technique below meditation. The make perfect achievement about multiple plants have in relation to the established tuning approach, to consider the ability of intended approach. Mostly, the whole system’s performance powerfully depends on the controller’s proficiency and thus the tuning technique plays a key part in the system’s behavior.

Md Amanullah

2014-05-01

247

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

Directory of Open Access Journals (Sweden)

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

M.Tharangini

2014-08-01

248

Performance-based parameter tuning method of model-driven PID control systems.

In this paper, performance-based parameter tuning method of model-driven Two-Degree-of-Freedom PID (MD TDOF PID) control system has been proposed to enhance the control performances of a process. Known for its ability of stabilizing the unstable processes, fast tracking to the change of set points and rejecting disturbance, the MD TDOF PID has gained research interest recently. The tuning methods for the reported MD TDOF PID are based on internal model control (IMC) method instead of optimizing the performance indices. In this paper, an Integral of Time Absolute Error (ITAE) zero-position-error optimal tuning and noise effect minimizing method is proposed for tuning two parameters in MD TDOF PID control system to achieve the desired regulating and disturbance rejection performance. The comparison with Two-Degree-of-Freedom control scheme by modified smith predictor (TDOF CS MSP) and the designed MD TDOF PID tuned by the IMC tuning method demonstrates the effectiveness of the proposed tuning method. PMID:22429300

Zhao, Y M; Xie, W F; Tu, X W

2012-05-01

249

Study of Immune PID Networked Control System Based on TrueTime

Directory of Open Access Journals (Sweden)

Full Text Available Networked control system has been a hotspot in the research fields of control theory and control engineering applications at home and abroad. Immune PID controller based on biological immune mechanism has simple structure and algorithms, and with the features of strong robustness and adaptability. The structure of networked control system based on immune PID controller had been designed in this paper, taking the typical one-order inertia plant with time delay and second-order inertia plant in the process of industrial production for example, the simulation model of immune PID networked control system based on TrueTime toolbox had built in the MATLAB environment, and simulation studies have shown the feasibility and effectiveness of the control scheme.

Daogang Peng

2011-06-01

250

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

Directory of Open Access Journals (Sweden)

Full Text Available In this paper a PID Fuzzy-Neural controller (FNC is designed as an Active Queue Management (AQM in internet routers to improve the performance of Fuzzy Proportional Integral (FPI controller for congestion avoidance in computer networks. A combination of fuzzy logic and neural network can generate a fuzzy neural controller which in association with a neural network emulator can improve the output response of the controlled system. This combination uses the neural network training ability to adjust the membership functions of a PID like fuzzy neural controller. The goal of the controller is to force the controlled system to follow a reference model with required transient specifications of minimum overshoot, minimum rise time and minimum steady state error. The fuzzy membership functions were tuned using the propagated error between the plant outputs and the desired ones. To propagate the error from the plant outputs to the controller, a neural network is used as a channel to the error. This neural network uses the back propagation algorithm as a learning technique. Firstly the parameters of PID of Fuzzy-Neural controller are selected by trial and error method, but to get the best controller parameters the Particle Swarm Optimization (PSO is used as an optimization method for tuning the PID parameters. From the obtained results, it is noted that the PID Fuzzy-Neural controller provides good tracking performance under different circumstances for congestion avoidance in computer networks.

Shahad A. Sadeq

2012-02-01

251

Directory of Open Access Journals (Sweden)

Full Text Available The degree of speed control of ship machinery effects on the economics and optimization of the machinery configuration and operation. All marine vessel ranging need some sort of speed control system to control and govern the speed of the marine diesel engines. The main focus of this study is to apply and comparative between two specific soft-computing techniques. Fuzzy logic controller and genetic algorithm to design and tuning of PID controller for applied on speed control system of marine diesel engine to get an output with better dynamic and static performance. Simulation results show that the response of system when using genetic algorithm is better and faster than when using fuzzy tuning PID controller.

Naeim Farouk

2012-11-01

252

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

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...

Anand, R.; Melba Mary, P.

2013-01-01

253

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

In order to improve the inaccuracy of the traditional screw compressor PID controller parameters when initial set. To improve the speed and accuracy, raises a theory of determination on the PID controller based on fuzzy control theory and the first method of Ziegle•Nichols, applied to determine the initial value of PID controller. And the theory is applied on new controller. Then the PI D controller parameters are obtained which can meet the control requirements. The validity and reliabilit...

Mingbo Lv; Wanqiang Lin; Sheng Gao; Janglong Fang

2011-01-01

254

Vibration Control of Bus Suspension System using PI and PID Controller

Directory of Open Access Journals (Sweden)

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

255

Patents, software and hardware for PID control: an overview and analysis of the current art

Proportional-integral-derivative (PID) control provides simplicity, clear functionality, and ease of use. Since the invention of PID control in 1910 (largely owing to Elmer Sperry’s ship autopilot) and the straightforward Ziegler-Nichol (Z-N) tuning rule in 1942, the popularity of PID has grown tremendously. Today, PID is used in more than 90% of practical control systems, ranging from consumer electronics to industrial processes. The wide application of PID has stimulated and sustained th...

Li, Y.; Ang, K. H.; Chong, G. C. Y.

2006-01-01

256

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

In order to improve the performance of robot dexterous hand, a controller based on GA-fuzzy-immune PID was designed. The control system of a robot dexterous hand and mathematical model of an index finger were presented. Moreover, immune mechanism was applied to the controller design and an improved approach through integration of GA and fuzzy inference was proposed to realize parameters' optimization. Finally, a simulation example was provided and the designed controller was proved ideal. PMID:25097881

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

2014-01-01

257

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

258

Directory of Open Access Journals (Sweden)

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

259

Speed Control of DC Motor Using Particle Swarm Optimization Technique by PSO Tunned PID and FOPID

Directory of Open Access Journals (Sweden)

Full Text Available The objective of this work is to design a speed controller of a DC motor by finding of PID and FOPID parameters using bio-inspired optimization technique of Particle Swarm Optimization (PSO. Here, model of a DC motor is considered as a second order system for speed control. In this work bio-inspired optimization technique in controllers and their advantages over conventional methods is discussed using MATLAB/Simulink. This proposed optimization methods could be applied for higher order system also to provide better system performance with minimum errors. The main aim is to apply PSO technique to design and tune parameters of PID controller to get an output with better dynamic and static performance. The application of PSO to the PID and FOPID controller imparts it the ability of tuning itself automatically in an on-line process while the application of optimization algorithm to the PID controller makes it to give an optimum output by searching for the best set of solutions for the PID and FOPID parameters.

Akhilesh Kumar Mishra

2014-10-01

260

Directory of Open Access Journals (Sweden)

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

261

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

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

262

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

263

Automatic Generation Control of Multi Area Power System Using PID Controller

This paper presents an Automatic Generation Control scheme for multi area power system using integrator and PID controller. The simulation results of four areas are compared using MATLAB/SIMULINK software. Automatic Generation Control is a very important process that operates constantly to balance the generation and load. PID controllers can be tuned by using many methods. In all methods an initial guess is made for PID controller parameter settings. Then these parameter settings are improved...

Reena Kumari, Ram Avtar

2013-01-01

264

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

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

265

Split PID control: two sensors can be better than one

The traditional proportional-integral-derivative (PID) algorithm for regulation suffers from a tradeoff: placing the sensor near the sample being regulated ensures that its steady-state temperature matches the desired setpoint. However, the propagation delay (lag) between heater and sample can limit the control bandwidth. Moving the sensor closer to the heater reduces the lag and increases the bandwidth but introduces offsets and drifts into the temperature of the sample. Here, we explore the consequences of using two probes---one near the heater, one near the sample---and assigning the integral term to the sample probe and the other terms to the heater probe. The \\textit{split-PID} algorithm can outperform PID control loops based on one sensor.

Znaimer, Leith

2014-01-01

266

Intelligent particle swarm optimized fuzzy PID controller for AVR system

Energy Technology Data Exchange (ETDEWEB)

In process plants like thermal power plants, biomedical instrumentation the popular use of proportional-integral-derivative (PID) controllers can be noted. Proper tuning of such controllers is obviously a prime priority as any other alternative situation will require a high degree of industrial expertise. So in order to get the best results of PID controllers the optimal tuning of PID gains is required. This paper, thus, deals with the determination of off-line, nominal, optimal PID gains of a PID controller of an automatic voltage regulator (AVR) for nominal system parameters and step reference voltage input. Craziness based particle swarm optimization (CRPSO) and binary coded genetic algorithm (GA) are the two props used to get the optimal PID gains. CRPSO proves to be more robust than GA in performing optimal transient performance even under various nominal operating conditions. Computational time required by CRPSO is lesser than that of GA. Factors that have influenced the enhancement of global searching ability of PSO are the incorporation of systematic and intelligent velocity, position updating procedure and introduction of craziness. This modified from of PSO is termed as CRPSO. For on-line off-nominal system parameters Sugeno fuzzy logic (SFL) is applied to get on-line terminal voltage response. The work of SFL is to extrapolate intelligently and linearly, the nominal optimal gains in order to determine off-nominal optimal gains. The on-line computational burden of SFL is noticeably low. Consequently, on-line optimized transient response of incremental change in terminal voltage is obtained. (author)

Mukherjee, V. [Department of Electrical Engineering, Asansol Engineering College, Asansol, West Bengal (India); Ghoshal, S.P. [Department of Electrical Engineering, National Institute of Technology, Durgapur, West Bengal (India)

2007-10-15

267

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

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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

268

Comparative analysis of PSO algorithms for PID controller tuning

The active magnetic bearing(AMB) suspends the rotating shaft and maintains it in levitated position by applying controlled electromagnetic forces on the rotor in radial and axial directions. Although the development of various control methods is rapid, PID control strategy is still the most widely used control strategy in many applications, including AMBs. In order to tune PID controller, a particle swarm optimization(PSO) method is applied. Therefore, a comparative analysis of particle swarm optimization(PSO) algorithms is carried out, where two PSO algorithms, namely (1) PSO with linearly decreasing inertia weight(LDW-PSO), and (2) PSO algorithm with constriction factor approach(CFA-PSO), are independently tested for different PID structures. The computer simulations are carried out with the aim of minimizing the objective function defined as the integral of time multiplied by the absolute value of error(ITAE). In order to validate the performance of the analyzed PSO algorithms, one-axis and two-axis radial rotor/active magnetic bearing systems are examined. The results show that PSO algorithms are effective and easily implemented methods, providing stable convergence and good computational efficiency of different PID structures for the rotor/AMB systems. Moreover, the PSO algorithms prove to be easily used for controller tuning in case of both SISO and MIMO system, which consider the system delay and the interference among the horizontal and vertical rotor axes.

Štimac, Goranka; Braut, Sanjin; Žiguli?, Roberto

2014-09-01

269

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

Zhang, Mei; Zheng, Meng; Li, Yanqiu

2013-12-01

270

Energy Technology Data Exchange (ETDEWEB)

Nuclear reactors are in nature nonlinear systems and their parameters vary with time as a function of power level. These characteristics must be considered if large power variations occur in power plant operational regimes, such as in load-following conditions. A PWR reactor has a component called pressurizer, whose function is to supply the necessary high pressure for its operation and to contain pressure variations in the primary cooling system. The use of control systems capable of reducing fast variations of the operation variables and to maintain the stability of this system is of fundamental importance. The best-known controllers used in industrial control processes are proportional-integral-derivative (PID) controllers due to their simple structure and robust performance in a wide range of operating conditions. However, designing a fuzzy controller is seen to be a much less difficult task. Once a Fuzzy Logic controller is designed for a particular set of parameters of the nonlinear element, it yields satisfactory performance for a range of these parameters. The objective of this work is to develop fuzzy proportional-integral-derivative (fuzzy-PID) control strategies to control the level of water in the reactor. In the study of the pressurizer, several computer codes are used to simulate its dynamic behavior. At the fuzzy-PID control strategy, the fuzzy logic controller is exploited to extend the finite sets of PID gains to the possible combinations of PID gains in stable region. Thus the fuzzy logic controller tunes the gain of PID controller to adapt the model with changes in the water level of reactor. The simulation results showed a favorable performance with the use to fuzzy-PID controllers. (author)

Vasconcelos, Wagner Eustaquio de; Lira, Carlos Alberto Brayner de Oliveira; Brito, Thiago Souza Pereira de; Afonso, Antonio Claudio Marques, E-mail: wagner@unicap.br, E-mail: cabol@ufpe.br, E-mail: afonsofisica@gmail.com, E-mail: thiago.brito86@yahoo.com.br [Universidade Federal de Pernambuco (UFPE), Recife, PE (Brazil). Centro de Tecnologia e Geociencias. Departamento de Energia Nuclear; Cruz Filho, Antonio Jose da; Marques, Jose Antonio, E-mail: antonio.jscf@gmail.com, E-mail: jamarkss@uol.com.br [Universidade Catolica de Pernambuco (CCT/PUC-PE), Recife, PE (Brazil). Centro de Ciencias e Tecnologia; Teixeira, Marcello Goulart, E-mail: marcellogt@dcc.ufrj.br [Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ (Brazil). Instituto de Matematica. Dept. de Matematica

2013-07-01

271

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)

272

A PID Sliding Mode Control for Ropeless Elevator Maglev Guiding System

In this paper, three different controllers are proposed and simulated for maglev guiding systems to have convenient and smooth elevator motion. The proposed controllers are PID, sliding mode, and PID sliding mode controllers. The advantages and disadvantages of the proposed controllers are discussed. Although, PID controller is fast, its response affected considerably by external disturbances. Unlike PID, the sliding mode controller is so robust, but its transient is unsuitable based on appli...

Hadi Afsharirad; Mohammad Bagher Bana Sharifian; Hasan Alipour

2012-01-01

273

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...

Das, Saptarshi; Pan, Indranil; Das, Shantanu

2013-01-01

274

PID Controller Settings Based on a Transient Response Experiment

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

275

Speed Control of Bldc Motor Drive By Using Pid Controllers

Directory of Open Access Journals (Sweden)

Full Text Available This paper mainly deals with the Brushless DC (BLDC motor speed driving systems have sprouted in various small scale and large scale applications like automobile industries, domestic appliances etc. This leads to the development in Brushless DC motor (BLDCM. The usage of BLDC Motor enhances various performance factors ranging from higher efficiency, higher torque in low-speed range, high power density ,low maintenance and less noise than other motors. The BLDC Motor can act as an alternative for traditional motors like induction and switched reluctance motors. In this paper PID controller is implemented with speed feedback loop and it is observe that torque ripples are minimized. Simulation is carried out using MATLAB / SIMULINK. The results show that the performance of BLDC Motor is quite satisfactory for various loading conditions. Brushless DC motor drives are typically employed in speed controlled applications.

Y.Narendra Kumar,

2014-04-01

276

Tuning PID Controller by Neural Network for Robot Manipulator Trajectory Tracking

Ziegler and Nichols proposed the well-known Ziegler-Nichols method to tune the coefficients of PID controller. This tuning method is simple and gives fixed values for the coefficients which make PID controller have weak adaptabilities for the model parameters variation and changing in operating conditions. In order to achieve adaptive controller, the Neural Network (NN) self-tuning PID control is proposed in this paper which combines conventional PID controller and Neural Network learning cap...

Saad Zaghlul Saeed Al-Khayyt

2013-01-01

277

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

This paper proposes an adaptive proportional integral derivative (PID) algorithm to solve a formation control problem in the leader-follower framework where the leader robot's velocities are unknown for the follower robots. The main idea is first to design some proper ideal control law for the formation system to obtain a required performance, and then to propose the adaptive PID methodology to approach the ideal controller. As a result, the formation is achieved with much more enhanced robust formation performance. The stability of the closed-loop system is theoretically proved by Lyapunov method. Both numerical simulations and physical vehicle experiments are presented to verify the effectiveness of the proposed adaptive PID algorithm. PMID:24388355

Shen, Dongbin; Sun, Weijie; Sun, Zhendong

2014-03-01

278

GENETIC ALGORITHM BASED PARAMETER TUNING OF PID CONTROLLER FOR COMPOSITION CONTROL SYSTEM

A Composition control system is discussed in this paper in which the PID controller is tuned using Genetic Algorithm & Ziegler-Nichols Tuning Criteria. Tuning methods for PID controllers are very importantfor the process industries. Traditional methods such as Ziegler-Nichols method often do not provide adequate tuning. Genetic Algorithm (GA) as an intelligent approach has also been widely used to tune the parameters of PID. Genetic algorithms are used to create an objective function that can...

Bhawna Tandon; Randeep Kaur

2011-01-01

279

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

280

A method for closed loop automatic tuning of PID controllers

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

281

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

In this paper, an improved cascade control methodology for superheated processes is developed, in which the primary PID controller is implemented by neural networks trained by minimizing error entropy criterion. The entropy of the tracking error can be estimated recursively by utilizing receding horizon window technique. The measurable disturbances in superheated processes are input to the neuro-PID controller besides the sequences of tracking error in outer loop control system, hence, feedback control is combined with feedforward control in the proposed neuro-PID controller. The convergent condition of the neural networks is analyzed. The implementation procedures of the proposed cascade control approach are summarized. Compared with the neuro-PID controller using minimizing squared error criterion, the proposed neuro-PID controller using minimizing error entropy criterion may decrease fluctuations of the superheated steam temperature. A simulation example shows the advantages of the proposed method. PMID:22776550

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

2012-11-01

282

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

Directory of Open Access Journals (Sweden)

Full Text Available In this paper, a mathematical tunable gain model free PID - like sliding mode fuzzy controller (PIDSMFC is designed to rich the best performance. Sliding mode fuzzy controller is studied because of its model free,stable and high performance. Today, most of systems are used in unknown and unstructured environment and caused to provide sophisticated systems, therefore strong mathematical tools (e.g., nonlinear sliding mode controller are used in artificial intelligent control methodologies to design model free nonlinear robust controller with high performance (e.g., minimum error, good trajectory, disturbance rejection. Non linear classical theories have been applied successfully in many applications, but they also have some limitation. One of the most important challenging in pure sliding mode controller and sliding mode fuzzy controller is sliding surface slope. Thispaper focuses on adjusting the gain updating factor and sliding surface slope in PID-like sliding modefuzzy controller to have the best performance and reduce the limitation.

M. Sudha

2012-09-01

283

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

Directory of Open Access Journals (Sweden)

Full Text Available Design of an accurate and robust controller is challenging topic in underwater manipulator control. This is due to hydrodynamic disturbances in underwater environment. In this paper a sliding mode control (SMC included a PID sliding surface and fuzzy tunable gain is designed. In this proposed controller robustness property of SMC and fast response of PID are incorporated with fuzzy rules to reduce error tracking. In the control law, for remove of chattering, the exponential function is used. And also system is analyzed in terms of stability by direct lyapunov method. By tuning gains with fuzzy logic, the proposed controller does not require an accurate model of underwater manipulator dynamics. Hence the modeling and simulation studies are done for an underwater manipulator to verify the effectiveness of the proposed method. Both new proposed controller and conventional SMC are simulated. The results of simulation show the high performance of proposed controller in comparison to conventional SMC.

Hossein Nejatbakhsh Esfahani

2013-09-01

284

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

This paper employs a 2-DOF (degree of freedom) PID controller for compensating a physical magnetic levitation system. It is shown that because of having a feedforward gain in the proposed 2-DOF PID control, the transient performance of the compensated system can be changed in a desired manner unlike the conventional 1-DOF PID control. It is also shown that for a choice of PID parameters, although the theoretical loop robustness is the same for both the compensated systems, in real-time, 2-DOF PID control may provide superior robustness if a suitable choice of the feedforward parameter is made. The results are verified through simulations and experiments. PMID:24947430

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

2014-07-01

285

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

In this paper a PID Fuzzy-Neural controller (FNC) is designed as an Active Queue Management (AQM) in internet routers to improve the performance of Fuzzy Proportional Integral (FPI) controller for congestion avoidance in computer networks. A combination of fuzzy logic and neural network can generate a fuzzy neural controller which in association with a neural network emulator can improve the output response of the controlled system. This combination uses the neural network training ability to...

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

2012-01-01

286

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

287

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

288

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

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

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

2008-01-01

289

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

Directory of Open Access Journals (Sweden)

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

Tsonyo Slavov

2011-07-01

290

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

291

Further Results on Event-Based PID Controller

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

292

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

293

Improved PID method of temperature control for adiabatic demagnetization refrigerators

International Nuclear Information System (INIS)

We report a new method of precise temperature control for an adiabatic demagnetization refrigerator (ADR). Temperature of the experimental stage of ADRs is usually controlled with the standard PID (Proportional, Integral, and Derivative control) method by decreasing the magnet current of the superconducting solenoid surrounding the paramagnetic salt inside the ADR. In controlling the temperature of our portable ADR system, we found a small residual between the aimed and measured temperatures, which gradually increased in time as the magnet current decreases. This phenomenon is explained by the magnetic cooling theory, and we have introduced a new functional parameter to improve the standard PID method. Applying this improvement to our system, highly stabilized temperature of 10?K rms at 100mK up to the period of ?15ks is presented. It is demonstrated that the temperature controlled time was increased by ?30% in our experiment. Our improved PID method is useful to maintain the long-term temperature stability down to almost zero magnet current with a relatively small ADR

294

Intelligent Tuning of a PID Controller Using Immune Algorithm

Energy Technology Data Exchange (ETDEWEB)

This paper suggests that the immune algorithm can effectively be used in tuning of a PID controller. The artificial immune network always has a new parallel decentralized processing mechanism for various situations, since antibodies communicate to each other among different species of antibodies/B-cells through the stimulation and suppression chains among antibodies that form a large-scaled network. In addition to that, the structure of the network is not fixed, but varies continuously. That is, the artificial immune network flexibly self-organizes according to dynamic changes of external environment (meta-dynamics function). However, up to the present time, models based on the conventional crisp approach have been used to describe dynamic model relationship between antibody and antigen. Therefore, there are some problems with a less flexible result to the external behavior. On the other hand, a number of tuning technologies have been considered for the tuning of a PID controller. As a less common method, the fuzzy and neural network or its combined techniques are applied. However, in the case of the latter, yet, it is not applied in the practical field, in the former, a higher experience and technology is required during tuning procedure. In addition to that, tuning performance cannot be guaranteed with regards to a plant with non-linear characteristics or many kinds of disturbances. Along with these, this paper used immune algorithm in order that a PID controller can be more adaptable controlled against the external condition, including noise or disturbance of plant. Parameters, P, I, D encoded in antibody randomly are allocated during selection processes to obtain an optimal gain required for plant. The result of study shows the artificial immune can effectively be used to tune, since it can more fit modes or parameters of the PID controller than that of the conventional tuning methods. (author). 13 refs., 22 figs., 2 tabs.

Kim, D.H. [Hanbat National University, Taejon (Korea)

2002-01-01

295

In this work the synthesis procedure of a proportional-integral-derivative (PID) controller implemented with a commercially active component, AD 844, which is equivalent to the combination of a second generation current conveyor having a gain of +1 (CCII+) and a unity gain voltage buffer discussed. These current-mode (CM) circuits are not used in analog controller design so far. Furthermore the optimum parameter tolerances for the proposed PID circuit by the use of parameter sensitivities are...

Cevat Erdal; Ali Toker; Cevdet Acar

2001-01-01

296

Hybrid PID and PSO-based control for electric power assist steering system for electric vehicle

Electric power assist steering (EPAS) system provides an important significance in enhancing the driving performance of a vehicle with its energy-conserving features. This paper presents a hybrid PID (Proportional-Integral-Derivative) and particle swarm optimization (PSO) based control scheme to minimize energy consumption for EPAS. This single objective optimization scheme is realized using the PSO technique in searching for best gain parameters of the PID controller. The fast tuning feature of this optimum PID controller produced high-quality solutions. Simulation results show the performance and effectiveness of the hybrid PSO-PID based controller as opposed to the conventional PID controller.

Hanifah, R. A.; Toha, S. F.; Ahmad, S.

2013-12-01

297

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

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

298

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

Energy Technology Data Exchange (ETDEWEB)

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

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

2011-02-15

299

Split PID control: two sensors can be better than one

The traditional proportional-integral-derivative (PID) algorithm for regulation suffers from a tradeoff: placing the sensor near the sample being regulated ensures that its steady-state temperature matches the desired setpoint. However, the propagation delay (lag) between heater and sample can limit the control bandwidth. Moving the sensor closer to the heater reduces the lag and increases the bandwidth but introduces offsets and drifts into the temperature of the sample. He...

Znaimer, Leith; Bechhoefer, John

2014-01-01

300

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

Directory of Open Access Journals (Sweden)

Full Text Available In order to improve the inaccuracy of the traditional screw compressor PID controller parameters when initial set. To improve the speed and accuracy, raises a theory of determination on the PID controller based on fuzzy control theory and the first method of Ziegle•Nichols, applied to determine the initial value of PID controller. And the theory is applied on new controller. Then the PI D controller parameters are obtained which can meet the control requirements. The validity and reliability of this determination method is verified.

Mingbo Lv

2011-11-01

301

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

Directory of Open Access Journals (Sweden)

Full Text Available The aim of this investigation is to design and describe the essential features of a brushless direct-current (BLDC motor. The static and dynamical state of the BLDC-Motor is designed and calculated.Within this frame-work, it has been shown that while working with the P-controller in conjunction with the subsidiary speed loop and PD-controller (with non-zero error in a steady state without a subsidiary speed loop, there is PID-controller without a subsidiary speed loop which has zero error in a steady state. The last part of this paper is dedicated to a simulation of the circle rounds of P and PID controllers with and without a subsidiary speed loop in MATLAB–SIMULINK to decide which of these controllers is suitable, available and reliable with a BLDC-Motor and their application in cutting tool machines in general.

M. Aboelhassan

2008-01-01

302

The hierarchical expert tuning of PID controllers using tools of soft computing.

We present soft computing-based results pertaining to the hierarchical tuning process of PID controllers located within the control loop of a class of nonlinear systems. The results are compared with PID controllers implemented either in a stand alone scheme or as a part of conventional gain scheduling structure. This work is motivated by the increasing need in the industry to design highly reliable and efficient controllers for dealing with regulation and tracking capabilities of complex processes characterized by nonlinearities and possibly time varying parameters. The soft computing-based controllers proposed are hybrid in nature in that they integrate within a well-defined hierarchical structure the benefits of hard algorithmic controllers with those having supervisory capabilities. The controllers proposed also have the distinct features of learning and auto-tuning without the need for tedious and computationally extensive online systems identification schemes. PMID:18238106

Karray, F; Gueaieb, W; Al-Sharhan, S

2002-01-01

303

Robustness of PD and PID Controllers used with Second-Order Processes

Directory of Open Access Journals (Sweden)

Full Text Available Robustness is one of the requirements used in controllers and compensators design. The designs presented in the previous papers did not consider the robustness of the controller or compensator. Therefore, the objective of this paper is to investigate the robustness of PD and PID controllers when used to control second-order processes against uncertainty in the process parameters. A variation of ± 20 % in process parameters is considered through simulation to study its effect on the system performance parameters using the tuned PD and PID controllers. With PD controller controlling an overdamped second order process, the variation in process damping ratio has no effect on the maximum percentage overshoot, maximum percentage undershoot and settling time of the closed-loop control system. The variation of the process natural frequency produced a change of 55.5 % in the settling time and zero change in maximum percentage overshoot and undershoot. For PID controller controlling an underdamped second order process, changing the damping ratio and natural frequency of the process by ± 20 % results in increasing the maximum percentage overshoot using the tuned controller by 18.3 % and 61.3 % respectively. This does not affect the maximum percentage undershoot and the settling time.

Galal A. Hassaan

2014-09-01

304

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 a...

Seif, A. E. A.; Moustafa, M. A.; Tammam, M. A.; Aboelela, M. A. S.

2012-01-01

305

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

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

306

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

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

307

Performances and Analysis of D.C Machine using PID Controller

An intelligent PID Controller has been developed for speed control DC Motor. The aims of proposed scheme improve the tracking performance of separately excited DC Motor as compared to the conventional PID Control strategy. Performance of this new control has been verified through the simulation using MATLAB / Simulink. In the present work of PID concept is applied for both control strategy current control and speed control strategy for DC Separately excited mot...

Kapinjay Ucharia, Himmat Singh

2014-01-01

308

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

Directory of Open Access Journals (Sweden)

Full Text Available In this study, the dynamic characteristic of missile system is viewed as a two-loop system, such as inner loop and outer loop and we design an adaptive PID control strategy for the pitch channel linear model of supersonic missile. The robustness of a double PID controller is analyzed by changing the aerodynamic coefficients. The control law is testified to be stable even the aerodynamic coefficients are changed between 0.7 and 1.7 times of its standard value and the control effect is compared with the sliding mode control strategy. Also the advantage and defect of both control strategy are summarized at the end of this study.

Gangling Jiao

2013-01-01

309

Directory of Open Access Journals (Sweden)

Full Text Available O trabalho consiste na implementação de um controle convencional PID/SISO-feedback para obter um ajuste fino na temperatura de entrada da água de aquecimento em um processo de pasteurização. Para isto utilizou-se uma resistência de 2500 Watts instalada na linha do fluido secundário da seção de aquecimento do pasteurizador e um Pt100 para a medição de sua temperatura. Como o comportamento desta temperatura em função de uma mesma perturbação degrau de potência na resistência é dependente da vazão de trabalho, objetivou-se encontrar um controle único para que a mesma fosse mantida no set-point desejado na faixa de operação de vazão da água do processo (300 a 700L/h. Três sintonias para o controlador adaptativo PID foram testadas: a primeira consistiu na implementação de uma função adaptativa dos parâmetros PID, ajustada através dos valores individuais obtidos para cada vazão de trabalho conforme metodologia da curva de reação do processo; a segunda consistiu em configurar os parâmetros do PID com os valores médios destes calculados individualmente para cada vazão, e a terceira consistiu na sintonia através de uma função adaptativa ajustada pelos parâmetros de sintonia obtidos pela metodologia de Aström & Hägglund. A avaliação do desempenho das sintonias dos controladores adaptativos foi realizada por comparação dos valores dos índices de erro, obtidos por perturbações do sistema em malha fechada na vazão de água. Os resultados obtidos mostraram que dentre as sintonias testadas, a terceira sintonia, popularmente conhecida como "Bang-Bang", apresentou menores oscilações e os menores valores dos índices de erros.The aim of this work is to implement a conventional PID/SISO feedback control to obtain a fine adjustment of the water inlet temperature at a pasteurization process. For that, a resistance of 2500 Watts and a Pt100 to measure the temperature were installed in the water inlet line of the pasteurizer heating section. As the water temperature behavior according to the same step change on the potency of the resistance depends on the working flow rate, a single controller was designed to keep this temperature at its desirable set-point, for the water flow rate, within the range of 300 to 700L/h. Three different tunings for the PID were tested: the first consisted on the implementation of a function for the calculation of the PID parameters fitted to individual values obtained from each flow rate, according to process reaction curve methodology; the second consisted on using the PID parameters calculated as the average of these individual values; at the third tuning, an adaptive function fitted with the individual parameters obtained with Aström & Hägglund methodology was used. The performance evaluation of the configured PID controllers was carried out by comparing the error index values, obtained after disturbances in the water flow rate in the closed loop system. The error indexes calculated after step changes in the water flow rate were used to evaluate the tunings. The results have shown that the third tuning, called "Bang Bang" presented minor oscillations and smaller error indexes compared to the other two methods.

Maria Isabel Berto

2004-09-01

310

Scientific Electronic Library Online (English)

Full Text Available SciELO Brazil | Language: Portuguese Abstract in portuguese O trabalho consiste na implementação de um controle convencional PID/SISO-feedback para obter um ajuste fino na temperatura de entrada da água de aquecimento em um processo de pasteurização. Para isto utilizou-se uma resistência de 2500 Watts instalada na linha do fluido secundário da seção de aquec [...] imento do pasteurizador e um Pt100 para a medição de sua temperatura. Como o comportamento desta temperatura em função de uma mesma perturbação degrau de potência na resistência é dependente da vazão de trabalho, objetivou-se encontrar um controle único para que a mesma fosse mantida no set-point desejado na faixa de operação de vazão da água do processo (300 a 700L/h). Três sintonias para o controlador adaptativo PID foram testadas: a primeira consistiu na implementação de uma função adaptativa dos parâmetros PID, ajustada através dos valores individuais obtidos para cada vazão de trabalho conforme metodologia da curva de reação do processo; a segunda consistiu em configurar os parâmetros do PID com os valores médios destes calculados individualmente para cada vazão, e a terceira consistiu na sintonia através de uma função adaptativa ajustada pelos parâmetros de sintonia obtidos pela metodologia de Aström & Hägglund. A avaliação do desempenho das sintonias dos controladores adaptativos foi realizada por comparação dos valores dos índices de erro, obtidos por perturbações do sistema em malha fechada na vazão de água. Os resultados obtidos mostraram que dentre as sintonias testadas, a terceira sintonia, popularmente conhecida como "Bang-Bang", apresentou menores oscilações e os menores valores dos índices de erros. Abstract in english The aim of this work is to implement a conventional PID/SISO feedback control to obtain a fine adjustment of the water inlet temperature at a pasteurization process. For that, a resistance of 2500 Watts and a Pt100 to measure the temperature were installed in the water inlet line of the pasteurizer [...] heating section. As the water temperature behavior according to the same step change on the potency of the resistance depends on the working flow rate, a single controller was designed to keep this temperature at its desirable set-point, for the water flow rate, within the range of 300 to 700L/h. Three different tunings for the PID were tested: the first consisted on the implementation of a function for the calculation of the PID parameters fitted to individual values obtained from each flow rate, according to process reaction curve methodology; the second consisted on using the PID parameters calculated as the average of these individual values; at the third tuning, an adaptive function fitted with the individual parameters obtained with Aström & Hägglund methodology was used. The performance evaluation of the configured PID controllers was carried out by comparing the error index values, obtained after disturbances in the water flow rate in the closed loop system. The error indexes calculated after step changes in the water flow rate were used to evaluate the tunings. The results have shown that the third tuning, called "Bang Bang" presented minor oscillations and smaller error indexes compared to the other two methods.

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

2004-09-01

311

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

312

Security Enhancement of Dynamic System Using PID Controller and Optimization Algorithm

This paper presents a research project on a dynamic system by using a controller known as PID Controller, used to provide the simplest and yet effective solutions to most of the control engineering applications today [4] and some computing algorithm, which is implemented in hardware for obtaining parameters of PID controller, for setting K values of controller, increasing the derivative time and also minimizing the integral error in the system. The system has been applied to a PID Controller ...

Parul Dewangan; Somesh Kumar Dewangan; Jyotiprakash Patra

2012-01-01

313

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

Scientific Electronic Library Online (English)

Full Text Available SciELO Brazil | Language: English Abstract in english This work deals with an hybrid PID+fuzzy logic controller applied to control the machine tool biaxial table motions. The non-linear model includes backlash and the axis elasticity. Two PID controllers do the primary table control. A third PID+fuzzy controller has a cross coupled structure whose func [...] tion is to minimise the trajectory contour errors. Once with the three PID controllers tuned, the system is simulated with and without the third controller. The responses results are plotted and compared to analyse the effectiveness of this hybrid controller over the system. They show that the proposed methodology reduces the contour error in a proportion of 70:1.

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

1999-09-01

314

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

Directory of Open Access Journals (Sweden)

Full Text Available This work deals with an hybrid PID+fuzzy logic controller applied to control the machine tool biaxial table motions. The non-linear model includes backlash and the axis elasticity. Two PID controllers do the primary table control. A third PID+fuzzy controller has a cross coupled structure whose function is to minimise the trajectory contour errors. Once with the three PID controllers tuned, the system is simulated with and without the third controller. The responses results are plotted and compared to analyse the effectiveness of this hybrid controller over the system. They show that the proposed methodology reduces the contour error in a proportion of 70:1.

Lacerda H. B.

1999-01-01

315

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

316

Directory of Open Access Journals (Sweden)

Full Text Available An unsolved ancient problem in position control of robot manipulators is to find a stability analysis that proves global asymptotic stability of the classical PID control in closed loop with robot manipulators. The practical evidence suggests that in fact the classical PID in industrial robots is a global regulator. The main goal of the present paper is theoretically to show why in the practice such a fact is achieved. We show that considering the natural saturations of every control stage in practical robots, the classical PID becomes a type of saturated nonlinear PID controller. In this work such a nonlinear PID controller with bounded torques for robot manipulators is proposed. This controller, unlike other saturated nonlinear PID controllers previously proposed, uses a single saturation for the three terms of the controller. Global asymptotical stability is proved via Lyapunov stability theory. Experimental results are presented in order to observe the performance of the proposed controller.

Antonio Yarza

2011-09-01

317

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 appro...

Rezazadeh, A.; Sedighizadeh, M.

2010-01-01

318

Comparison of intelligent fuzzy based AGC coordinated PID controlled and PSS controlled AVR system

Energy Technology Data Exchange (ETDEWEB)

This paper attempts to investigate the performance of intelligent fuzzy based coordinated control of the Automatic Generation Control (AGC) loop and the excitation loop equipped with Proportional Integral Derivative (PID) controlled Automatic Voltage Regulator (AVR) system and Power System Stabilizer (PSS) controlled AVR system. The work establishes that PSS controlled AVR system is much more robust in dynamic performance of the system over a wide range of system operating configurations. Thus, it is revealed that PSS equipped AVR is much more superior than PID equipped AVR in damping the oscillation resulting in improved transient response. The paper utilizes a novel class of Particle Swarm Optimization (PSO) termed as Craziness based Particle Swarm Optimization (CRPSO) as optimizing tool to get optimal tuning of PSS parameters as well as the gains of PID controllers. For on-line, off-nominal operating conditions Takagi Sugeno Fuzzy Logic (TSFL) has been applied to obtain the off-nominal optimal gains of PID controllers and parameters of PSS. Implementation of TSFL helps to achieve very fast dynamic response. Fourth order model of generator with AVR and high gain thyristor excitation system is considered for PSS controlled system while normal gain exciter is considered for PID controlled system. Simulation study also reveals that with high gain exciter, PID control is not at all effective. Transient responses are achieved by using modal analysis. (author)

Mukherjee, V. [Department of Electrical Engineering, Asansol Engineering College, Asansol, West Bengal (India); Ghoshal, S.P. [Department of Electrical Engineering, National Institute of Technology, Durgapur, West Bengal (India)

2007-11-15

319

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

320

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

321

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

International Nuclear Information System (INIS)

This paper presents experimental verification of the active vibration control of a smart cantilever composite beam using a PID controller. In order to prevent negative occurrences in the derivative and integral terms in a PID controller, first-order low-pass filters are implemented in the derivative action and in the feedback of the integral action. The proposed application setup consists of a composite cantilever beam with a fiber-reinforced piezoelectric actuator and strain gage sensors. The beam is modeled using a finite element method based on third-order shear deformation theory. The experiment considers vibration control under periodic excitation and an initial static deflection. A control algorithm was implemented on a PIC32MX440F256H microcontroller. Experimental results corresponding to the proposed PID controller are compared with corresponding results using proportional (P) control, proportional–integral (PI) control and proportional–derivative (PD) control. Experimental results indicate that the proposed PID controller provides 8.93% more damping compared to a PD controller, 14.41% more damping compared to a PI controller and 19.04% more damping compared to a P controller in the case of vibration under periodic excitation. In the case of free vibration control, the proposed PID controller shows better performance (settling time 1.2 s) compared to the PD controller (settling time 1.5 s) and PI controller (settling time 2.5 s). (paper)ime 2.5 s). (paper)

322

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

323

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

The aim of this investigation is to design and describe the essential features of a brushless direct-current (BLDC) motor. The static and dynamical state of the BLDC-Motor is designed and calculated.Within this frame-work, it has been shown that while working with the P-controller in conjunction with the subsidiary speed loop and PD-controller (with non-zero error in a steady state) without a subsidiary speed loop, there is PID-controller without a subsidiary speed loop which has zero error i...

Aboelhassan, M.

2008-01-01

324

A Fuzzy PID Approach for the Vibration Control of the FSPM

Directory of Open Access Journals (Sweden)

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

Zhu-Feng Shao

2013-01-01

325

Directory of Open Access Journals (Sweden)

Full Text Available It is often difficult to develop an accurate mathematical model of DC motor due to unknown load variation, unknown and unavoidable parameter variations or nonlinearities due to saturation temperature variations and system disturbances. Fuzzy logic application can handle such nonlinearities so that the controller design is fundamentally robust which is not possible in conventional controllers. The knowledge base of a fuzzy logic controller (FLC encapsulates expert knowledge and consists of the Data base (membership functions and Rule-Base of the controller. Optimization of both these knowledge base components is critical to the performance of the controller and has traditionally been achieved through a process of trial and error. Such an approach is convenient for FLCs having low numbers of input variables however for greater numbers of inputs, more formal methods of knowledge base optimization are required. In this work, we study the challenging task of controlling the speed of DC motor. The feasibility of such controller design is evaluated by simulation in the MATLAB/Simulink environment. In this study Conventional Proportional Integral Derivative controller, Fuzzy logic controller using a chopper circuit and Fuzzy tuned PID controller are analyzed and compared. Simulation software like MATLAB with Simulink has been used for modeling and simulation purpose. The performance comparison of conventional controller with Fuzzy logic controller using chopper circuit and Fuzzy tuned PID controller has been done in terms of several performance measures Such as Settling time, Rise time and Overshoot.

Mohammed Shoeb Mohiuddin

2014-09-01

326

This paper proposes the application of fractional-order PID (FOPID) controller for output voltage control of boost converters. For this purpose, parameters of the FOPID controller are calculated such that the Integral Absolute Error (IAE) of the variations of the output voltage is minimized. Since the search space is very large in dealing with such an optimization problem, the Artificial Bee Colony (ABC) algorithm is used for optimal tuning the parameters of the FOPID contro...

Merrikh-bayat, Farshad; Jamshidi, Alireza

2013-01-01

327

Optimization of PID Controllers Using Ant Colony and Genetic Algorithms

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

328

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)

329

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

330

Neuro-PID tracking control of a discharge air temperature system

International Nuclear Information System (INIS)

In this paper, the problem of improving the performance of a discharge air temperature (DAT) system using a PID controller and augmenting it with neural network based tuning and tracking functions is explored. The DAT system is modeled as a SISO (single input single output) system. The architecture of the real time neuro-PID controller and simulation results obtained under realistic operating conditions are presented. The neural network assisted PID tuning method is simple to implement. Results show that the network assisted PID controller is able to track both constant and variable set point trajectories efficiently in the presence of disturbances acting on the DAT system

331

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

Directory of Open Access Journals (Sweden)

Full Text Available The degree of speed control of ship machinery effects on the economics and optimization of the machinery configuration and operation. All marine vessel ranging need some sort of speed control system to control and govern the speed of the marine diesel engines. This study presents a self-tuning fuzzy PID control system for speed control system of marine diesel engine. The system under consideration is a fourth-order plant with highly dynamic and uncertain environments. The current speed controllers for marine/traction diesel engines based on PID Controller cannot fully handle the uncertainties associated with such dynamic environments. A fuzzy logic control algorithm is used to estimate the PID coefficients in order to handle such uncertainties to produce a better control performance. Simulation tests were established using Simulink of MATLAB. The obtained results have demonstrated the feasibility and effectiveness of the proposed approach. Simulation results are represented in this study.

Naeim Farouk

2012-03-01

332

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

Scientific Electronic Library Online (English)

Full Text Available SciELO Brazil | Language: English Abstract in english Vibration suppression of smart beams using the piezoelectric patch structure is presented in the present work. The smart system consists of a beam as the host structure and piezoceramic patches as the actuation and sensing elements. An experimental set-up has been developed to obtain the active vibr [...] ation suppression of smart beam. The set-up consists of a smart cantilever beam, the data acquisition system and a LabView based controller. Experiments are performed for different beam specimen. The coupled effcient layerwise (zigzag) theory is used for theoretical finite element modeling. The finite element model is free of shear locking. The beam element has two nodes with four mechanical and a variable number of electric degrees of freedom at each node. In the thickness direction, the electric field is approximated as piecewise linear across an arbitrary number of sub-layers in the piezoelectric layers. Cubic Hermite interpolation is used for the deflection, and linear interpolation is used for the axial displacement and the shear rotation. Undamped Natural Frequencies are obtained by solving the Eigen Value problem using Subspace Iteration method for cantilever beam. A state space model characterizing the dynamics of the physical system is developed from experimental results using PID approach for the purpose of control law design. The experimental results obtained by using the active vibration control system have demonstrated the validity and effciency of PID controller. Experiments are conducted to compare the controlling of various cantilever beams of different sizes. It shows that the present actuator and sensor based control method is effective and the LabView control plots for various beams can be used as a benchmark for analytical work. The results are compared with ABAQUS software and 1D Finite element formulation based on zigzag theory.

Najeeb ur, Rahman; M. Naushad, Alam.

2012-12-01

333

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

Directory of Open Access Journals (Sweden)

Full Text Available This paper emphasizes on a FPGA synthesis of Fuzzy PD and PID Controller in biomedical application. We aim at identifying a proper methodology for the infusion process of insulin to diabetic patients using an automated fuzzy logic PD and PID controller. A synthesis of FPGA model of the above automatic controller is analyzed and synthesized. In Type I and Type II diabetes the patient is dependent on an external source of insulin to be infused at an appropriate rate to maintain blood glucose concentration. Hypoglycemia has short term effects which can lead to diabetic coma and possibly death, while hyperglycemia has a long term impact that has been linked to nephropathy, retinopathy and other tissues damage. In this process insulin is administrated through an infusion pump as a single injection. The pump is controlled by the automatic control Fuzzy PD Controller which is more efficient compared to the conventional PD Controller. This is of primary importance where the processes are too complex to be analyzed using the conventional one. The designed controller is implemented with low power multiplier and Fuzzy controller architecture. In case of non- linear inputs, Fuzzy PD Controller performs better compared to the conventional controller and consumes lesser power. The blood glucose level is monitored from Photo Plethysmography of pulse Oximeter. This fuzzy controller model will surely be a boon to the diabetic patients.

R. HariKumar

2012-01-01

334

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

335

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

Directory of Open Access Journals (Sweden)

Full Text Available A controller designed for a nominal process model generally works fine for the nominal plant model, but may fail even by a slight change in it. Robust control deals with system analysis and control design for such imperfectly known process models. Robust control has been a recent addition to the field of control engineering that primarily deals with obtaining system robustness in the presence of uncertainties. A lot of research has been done and many approaches are available for robust design of the plants. In this paper, a graphical technique introduced in [1] to find all proportional integral derivative (PID controllers that satisfy the robust stability constraint of a given single input-single-output (SISO linear time-invariant (LTI system with time delay[1], is followed and effects of change of time-delay in the nominal plant model is discussed.

Mukul Gaur,

2013-05-01

336

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

337

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

338

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

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

339

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

340

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

In this paper, an online self-tuning precompensation for a Proportional-Integral-Derivative (PID) controller is proposed to control heading direction of a flying robot. The flying robot is a highly nonlinear plant, it is a modified X-Cell 60 radio-controlled helicopter. Heading direction is controlled to evaluate efficiency of the proposed precompensation algorithm. The heading control is based on the conventional PID control combined with an online self-tuning precompensation so that both th...

Manukid Parnichkun; Sukon Puntunan

2008-01-01

341

Please no more PID tuning rules

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...

Oliveira, Paulo; Cunha, Jose? Boaventura; Coelho, J. P.

2002-01-01

342

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

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

343

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

344

Performances and Analysis of D.C Machine using PID Controller

Directory of Open Access Journals (Sweden)

Full Text Available An intelligent PID Controller has been developed for speed control DC Motor. The aims of proposed scheme improve the tracking performance of separately excited DC Motor as compared to the conventional PID Control strategy. Performance of this new control has been verified through the simulation using MATLAB / Simulink. In the present work of PID concept is applied for both control strategy current control and speed control strategy for DC Separately excited motor. Excellent result added to the simplicity of the drive system make the PID Based control strategy suitable for large number of industries paper mills etc. The performance of the proposed system has been compared with traditional one using conventional one controller. The entire system has been modal by matlab. D.C motors drives are widely used in application requiring adjustable speed, good speed regulation and frequent starting, breaking and reversing applications

Kapinjay Ucharia, Himmat Singh

2014-03-01

345

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

346

An optimal PID and an optimal fuzzy PID have been tuned by minimizing the Integral of Time multiplied Absolute Error (ITAE) and squared controller output for a networked control system (NCS). The tuning is attempted for a higher order and a time delay system using two stochastic algorithms viz. the Genetic Algorithm (GA) and two variants of Particle Swarm Optimization (PSO) and the closed loop performances are compared. The paper shows that random variation in network delay can be handled efficiently with fuzzy logic based PID controllers over conventional PID controllers. PMID:21074156

Pan, Indranil; Das, Saptarshi; Gupta, Amitava

2011-01-01

347

Directory of Open Access Journals (Sweden)

Full Text Available This paper suggests an idea to design an adaptive PID controller for Non-linear liquid tank System and is implemented in PLC. Online estimation of linear parameters (Time constant and Gain brings an exact model of the process to take perfect control action. Based on these estimated values, the controller parameters will be well tuned by internal model control. Internal model control is an unremarkably used technique and provides well tuned controller in order to have a good controlling process. PLC with its ability to have both continues control for PID Control and digital control for fault diagnosis which ascertains faults in the system and provides alerts about the status of the entire process.

Kesavan.E

2013-04-01

348

Automatic PID Tuning Based on Genetic Algorithm for Botnia Soccer Robots

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

349

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

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

350

Directory of Open Access Journals (Sweden)

Full Text Available Electrohydraulic servosystem have been used in industry in a wide number of applications. Its dynamics are highly nonlinear and also have large extent of model uncertainties and external disturbances. In order to increase the reliability, controllability and utilizing the superior speed of response achievable from electrohydraulic systems, further research is required to develop a control software has the ability of overcoming the problems of system nonlinearities. In This paper, a Proportional Integral Derivative (PID controller is designed and attached to electrohydraulic servo actuator system to control its angular position. The PID parameters are optimized by the Genetic Algorithm (GA. The controller is verified on the state space model of servovalve attached to a rotary actuator by SIMULINK program. The appropriate specifications of the GA for the rotary position control of an actuator system are presented. It is found that the optimal values of the feedback gains can be obtained within 10 generations, which corresponds to about 200 experiments. A new fitness function was implemented to optimize the feedback gains and its efficiency was verified for control such nonlinear servosystem.

Ayman A. Aly

2011-06-01

351

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

352

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

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 fo...

Ruo-Fa Cheng; Wen-Long Zhao; Hong-Feng Deng; Deng-Feng Peng

2013-01-01

353

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

This article describes the proportional integral (PI), proportional integral derivative (PID) and fuzzy logic controller (FLC) based three phase shunt active power line conditioners (APLC) for the power-quality improvement such as reactive power and harmonic current compensation generated due to nonlinear loads. PI, PID controller requires precise linear mathematical model and FLC needs linguistic description of the system. The controller is capable of controlling dc capacitor voltage and gen...

Karuppanan, P.; Kanta Mahapatra, Kamala

2010-01-01

354

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

355

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

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

356

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

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

357

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

358

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

The degree of speed control of ship machinery effects on the economics and optimization of the machinery configuration and operation. All marine vessel ranging need some sort of speed control system to control and govern the speed of the marine diesel engines. This study presents a self-tuning fuzzy PID control system for speed control system of marine diesel engine. The system under consideration is a fourth-order plant with highly dynamic and uncertain environments. The current speed contro...

Naeim Farouk; Liu Sheng; Leghmizi Said

2012-01-01

359

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

Parul Arora, Alok Gupta

2013-01-01

360

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

Directory of Open Access Journals (Sweden)

Full Text Available According to the requirement of city residential water demand, this paper designs a set of VF speed regulating constant pressure water supply system based on PLC. The system consists of PLC, transducer, pressure sensor, water pumps and other units. The system controls three water pumps by frequency conversion cycle, which have soft starting and frequency function, and with the principle of “start first and stop last”, the system makes effective use of water pump motors. PLC computes by PID through the deviation between the measured value and the set value, controls the output frequency of the inverter and changes the water pump motor speed according to the operation result, so as to maintain the user’s pipe network pressure, to achieve the purpose of constant pressure water supply. The design is of great technical and economic benefits, and has the broad application prospect and promotion value.

Yilei Wang

2012-02-01

361

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

DEFF Research Database (Denmark)

This paper investigates the issue of PID-controller parameter tuning for a magnetic levitation system using the non-dominated sorting genetic algorithm (NSGA-II). The magnetic levitation system is inherently unstable and the PID-controller parameters are hard to find using conventional methods. Based on four different performance measures, derived from the step response of the levitation system, the algorithm is used to find a set of non-dominated parameters for a PID-controller that can stabilize the system and minimize the performance measures.

Pedersen, Gerulf K. M.; Yang, Zhenyu

2006-01-01

362

Effects of a GPC-PID control strategy with hierarchical structure for a cooling coil unit

International Nuclear Information System (INIS)

This paper presents a GPC-PID control strategy for a cooling-coil unit in heating, ventilation and air conditioning systems. By analysis of the cooling towers and chillers, different models in the occupied period are considered in each operating condition. Because of the complication of components, well tuned PID controllers are unsatisfied, and the results are poor over a wide range of operation conditions. To solve this problem, a GPC-PID controller with hierarchical structure is proposed based on minimizing the generalized predictive control criterion to tune conventional PID controller parameters. Simulation and experiments show that the proposed controller is able to deal with a wide range of operating conditions and to achieve better performance than conventional methods

363

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

364

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

365

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

Directory of Open Access Journals (Sweden)

Full Text Available Fuzzy logic and proportional-integral-derivative (PID controllers are compared for use in direct current (DC motors positioning system. A simulation study of the PID position controller for the armature-controlled with fixed field and field controlled with fixed armature current DC motors is performed. Fuzzy rules and the inferencing mechanism of the fuzzy logic controller (FLC are evaluated by using conventional rule-lookup tables that encode the control knowledge in a rules form. The performance assessment of the studied position controllers is based on transient response and error integral criteria. The results obtained from the FLC are not only superior in the rise time, speed fluctuations, and percent overshoot but also much better in the controller output signal structure, which is much remarkable in terms of the hardware implementation.

Essam Natsheh

2010-09-01

366

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

The temperature during heating processes more essential in oil quantity .Many of the research effort they developed new control technique to control and regulate the steam temperature in industries. This seems to be because PID controllers is simple structure, assure acceptable performances for a wide range of industrial plants and their usage (the tuning of their parameters) is well known among industrial operators. PID with FLC with combination of this we neglected the steady sate errors. P...

Tharangini, M.; Ramesh, B.; Mani, K.

2014-01-01

367

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...

Sanjay Kr Singh; Boolchandani, D.; Modani, S. G.; Nitish Katal

2014-01-01

368

Single Neuron PID Control of Aircraft Deicing Fluids Rapid Heating System

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

369

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

The conventional PID (proportional-integral-derivative) controller is widely applied to industrial automation and process control field because its structure is sample and its robust is well, but it do not work well for nonlinear system, time-delayed linear system and time-varying system. This paper provides a new style of PID controller that is based on artificial neural network and evolutionary algorithm according to the conventional one’s mathematical formula. The artificial neural n...

Wei Lu; Jian hua Yang; Xiao Dong Liu

2012-01-01

370

An unsolved ancient problem in position control of robot manipulators is to find a stability analysis that proves global asymptotic stability of the classical PID control in closed loop with robot manipulators. The practical evidence suggests that in fact the classical PID in industrial robots is a global regulator. The main goal of the present paper is theoretically to show why in the practice such a fact is achieved. We show that considering the natural saturations of every control stage in...

Antonio Yarza; Victor Santibanez; Javier Moreno-Valenzuela

2011-01-01

371

Active Queue Management in TCP Networks Based on Fuzzy-Pid Controller

We introduce a novel and robust active queue management (AQM) scheme based on a fuzzy controller, called hybrid fuzzy-PID controller. In the TCP network, AQM is important to regulate the queue length by passing or dropping the packets at the intermediate routers. RED, PI, and PID algorithms have been used for AQM. But these algorithms show weaknesses in the detection and control of congestion under dynamically changing network situations. In this paper a novel Fuzzy-based proportional-integra...

Ashtiani, Hossein; Pour, Hamed Moradi; Nikpour, Mohsen

2012-01-01

372

Approach of PID Controller Tuning for Geothermal Systems

In this study, a controller was designed fortemperature control. This paper propose to analyse thetemperature value in geothermal power station andcontrol it. The results are obtained by simulating aSimulink model.

Silaghi, Alexandru Marius; Costea, Claudiu Raul

2010-01-01

373

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

374

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

375

Directory of Open Access Journals (Sweden)

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

Parul Arora*, Alok Gupta

2013-11-01

376

Validated computational knee simulations are valuable tools for design phase development of knee replacement devices. Recently, a dynamic finite element (FE) model of the Kansas knee simulator was kinematically validated during gait and deep flexion cycles. In order to operate the computational simulator in the same manner as the experiment, a proportional-integral-derivative (PID) controller was interfaced with the FE model to control the quadriceps actuator excursion and produce a target flexion profile regardless of implant geometry or alignment conditions. The controller was also expanded to operate multiple actuators simultaneously in order to produce in vivo loading conditions at the joint during dynamic activities. Subsequently, the fidelity of the computational model was improved through additional muscle representation and inclusion of relative hip-ankle anterior-posterior (A-P) motion. The PID-controlled model was able to successfully recreate in vivo loading conditions (flexion angle, compressive joint load, medial-lateral load distribution or varus-valgus torque, internal-external torque, A-P force) for deep knee bend, chair rise, stance-phase gait and step-down activities. PMID:22687046

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

2014-01-01

377

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

Energy Technology Data Exchange (ETDEWEB)

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

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

2011-07-01

378

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

379

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

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,...

Kshitiz Agarwal

2013-01-01

380

Power System Stability Improvement By Using SVC With TID Tuned PID Controller

This paper presents the model of a static VARcompensator (SVC) which is controlled externally by aProportional IntegralDifferential(PID)controller for theimprovements of power system stability and damping effect ofan on line power system. PID parameters has been optimizedby proposed Triple Integral Differential(TID) close loop tuningmethod. Both single phase and three phase (L-L) faults havebeen considered in the research. In this paper, A power systemnetwork is considered which is simulated ...

Habibur, Dr Fayzur

2012-01-01

381

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

This paper proposes the Multi Objective Optimization (MOO) of Vehicle Active Suspension System (VASS) with a hybrid Differential Evolution (DE) based Biogeography-Based Optimization (BBO) (DEBBO) for the parameter tuning of Proportional Integral Derivative (PID) controller. Initially a conventional PID controller, secondly a BBO, an rising nature enthused global optimization procedure based on the study of the ecological distribution of biological organisms and a hybridized DEBBO algorithm wh...

Kalaivani Rajagopal; Lakshmi Ponnusamy

2014-01-01

382

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

Parul Arora, Alok Gupta

2013-01-01

383

Directory of Open Access Journals (Sweden)

Full Text Available Modernization of irrigation canals as an operation improvement tool is essential to promote the performance of canal networks and indeed requires control systems. Proportional integral derivative (PID algorithms have more applications than the other controllers in different places of the world, but tuning these controllers for different hydraulic conditions of canals is considered as a major problem for designing control algorithms. Since the bottom slope is one of the effective factors in the water flow dynamic behavior, in this research, the distant downstream Proportional Integral Derivative feedback control with decouplers was designed with a change in longitudinal slope in a reference canal and its performance was investigated. The canal characteristics were used to tune this controller and the system identification as a new method was applied for determining canal characteristics. SOBEK hydrodynamic model modulated with MATLAB software was used to design and run the control algorithms, and slope influence on water flow behavior, tuning controller, and coefficients of controller were investigated with different values of slope. Then, controller performance for hypothetical period of operation in various scenarios was evaluated with computation performance indices. The results showed less resonance behavior of water flow and less potential of controller in steep slope

Sh. Zamani

2014-02-01

384

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

This paper Present to design method fordetermining the optimal proportional-integral-derivative(PID) controller parameters of an Automatic VoltageRegulator (AVR) system using the particle swarmoptimization (PSO) algorithm and Genetic Algorithm (GA).The design goal is to minimize transient response byminimizing overshoot, settling time and rise time of stepresponse. The proposed approach had superior features,including easy implementation, stable convergencecharacteristic, and good computation...

Anil Kumar, Dr Rajeev Gupta

2013-01-01

385

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

Directory of Open Access Journals (Sweden)

Full Text Available According to the character of the volume-lag of the controlled process of three-tank-system, Smith predictor was adopted to compensate three-tank-system fuzzy adaptive control system. Fuzzy adaptive Smith predictive control system is composed with Smith predictor and fuzzy adaptive controller. The PID parameters were setting on line. This algorithm uses fuzzy adaptive PID control to improve the resistance ability to random disturbance and Smith predictive control to overcome the time-delay character of controlled object. Simulation results showed that this control algorithm has the advantages of strong adaptive ability and noise immunity.

Jianqiu Deng

2011-03-01

386

Design Baseline Computed Torque Controller

The application of design nonlinear controller such as computed torque controller in control of 6degrees of freedom (DOF) robot arm will be investigated in this research. One of the significantchallenges in control algorithms is a linear behavior controller design for nonlinear systems (e.g.,robot manipulator). Some of robot manipulators which work in industrial processes are controlledby linear PID controllers, but the design of linear controller for robot manipulators is extremelydifficult ...

Farzin Piltan; Mina Mirzaei; Forouzan Shahriari; Iman Nazari; Sara Emamzadeh

2012-01-01

387

????????????????????????? : (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

388

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...

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

2012-01-01

389

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

390

A comparison of fuzzy logic-PID control strategies for PWR pressurizer control

International Nuclear Information System (INIS)

This paper describes the results obtained from a comparison performed between classical proportional-integral-derivative (PID) and fuzzy logic (FL) controlling the pressure in a pressurized water reactor (PWR). The two methodologies have been tested under various transient scenarios, and their performances are evaluated with respect to robustness and on-time response to external stimuli. One of the main concerns in the safe operation of PWR is the pressure control in the primary side of the system. In order to maintain the pressure in a PWR at the desired level, the pressurizer component equipped with sprayers, heaters, and safety relief valves is used. The control strategy in a Westinghouse PWR is implemented with a PID controller that initiates either the electric heaters or the sprayers, depending on the direction of the coolant pressure deviation from the setpoint

391

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...

Sanjay Kr Singh; Boolchandani, D.; Modani, S. G.; Nitish Katal

2014-01-01

392

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...

S.Swathi,; Vijaya Kumar Nayak, V.

2014-01-01

393

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

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

Sukumar Das; Shubhajit Pal

2014-01-01

394

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

395

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

396

International Nuclear Information System (INIS)

PID control is the disciplinarian frequently used in feed-back control system, and the low pass filtering PID algorithm based on the digital filtering technology is presented. The principle of this algorithm and its realization are described. The feed-back control system for plasma density in HT-7 Tokamak is introduced. The algorithm enhances the control precision by filtering the noise intermingled in the error signal and is well used in the plasma density control system in HT-7 Tokamak. (authors)

397

International Nuclear Information System (INIS)

The simplicity in coding the heuristic judgment of experienced operator by means of fuzzy logic can be exploited for enhancement of energy efficiency. Fuzzy logic has been used as an effective tool for scheduling conventional PID controllers gain coefficients (F-PID). However, to search for the most desirable fuzzy system characteristics that allow for best performance of the energy system with minimum energy input, optimization techniques such as genetic algorithm (GA) could be utilized and the control methodology is identified as GA-based F-PID (GA-F-PID). The objective of this study is to examine the performance of PID, F-PID, and GA-F-PID controllers for enhancement of energy efficiency of a dynamic energy system. The performance evaluation of the controllers is accomplished by means of two cost functions that are based on the quadratic forms of the energy input and deviation from a setpoint temperature, referred to as energy and comfort costs, respectively. The GA-F-PID controller is examined in two different forms, namely, global form and local form. For the global form, all possible combinations of fuzzy system characteristics in the search domain are explored by GA for finding the fittest chromosome for all discrete time intervals during the entire operation period. For the local form, however, GA is used in each discrete time interval to find the fittest chromosome for implementation. The results show that the global form GA-F-PID and local form GA-F-PID contform GA-F-PID and local form GA-F-PID control methodologies, in comparison with PID controller, achieve higher energy efficiency by lowering energy costs by 51.2%, and 67.8%, respectively. Similarly, the comfort costs for deviation from setpoint are enhanced by 54.4%, and 62.4%, respectively. It is determined that GA-F-PID performs better in local from than global form.

398

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

A new control structure with a tuning method to design a PID load frequency controller for power systems is presented. Initially, the controller is designed for single area power system, then it is extended to multi-area case. The controller parameters are obtained by expanding controller transfer function using Laurent series. Relay based identification technique is adopted to estimate power system dynamics. Robustness studies on stability and performance are provided, with respect to uncertainties in the plant parameters. The proposed scheme ensures that overall system remains asymptotically stable for all bounded uncertainties and for system oscillations. Simulation results show the feasibility of the approach and the proposed method improves the load disturbance rejection performance significantly even in the presence of the uncertainties in plant parameters. PMID:23141877

Padhan, Dola Gobinda; Majhi, Somanath

2013-03-01

399

Directory of Open Access Journals (Sweden)

Full Text Available This paper deals with the design of a new algorithm of PID control based on fractional calculus (FC in production of technical gases, i.e. in a cryogenic air separation process. Production of low pressure liquid air was first introduced by P. L. Kapica and involved expansion in a gas turbine. For application in the synthesis of the control law, for the input temperature and flow of air to the expansion turbine, it is necessary to determine the appropriate differential equations of the cryogenic process of mixing of two gaseous airflows at different temperatures before entrance to the expansion turbine. Thereafter, the model is linearized and decoupled and consequently classical PID and fractional order controllers are taken to assess the quality of the proposed technique. A set of optimal parameters of these controllers are achieved through the genetic algorithm optimization procedure by minimizing a cost function. Our design method focuses on minimizing performance criterion which involves IAE, overshoot, as well as settling time. A time-domain simulation was used to identify the performance of controller with respect to a traditional optimized PID controller. [Projekat Ministarstva nauke Republike Srbije, br. 35006

Bu?anovi? Ljubiša J.

2014-01-01

400

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

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

401

Dynamic characteristics research of pressurizer control system and PID parameters setting

International Nuclear Information System (INIS)

A mathematics model and simulation model of pressurizer pressure control system for nuclear power plant are established. The static and dynamic characteristics of the pressurizer pressure control system are researched under the condition of that the average coolant temperature changes +- 3 degree C and the outer load changes +- 10% of the rated power by step. The parameters of the Proportional, Integral and Differential (PID) controller are set too. As a result, if the proper parameters of the PID controller have been chosen, the static and dynamic character of pressurizer pressure control system can be greatly improved

402

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

403

The direct drive tracking system of Telescope is one multivariable, nonlinear and strong coupling complex mechanical control system which is disturbed by some nonlinear disturbance such torque ripple, wind disturbance during the tracking process. the traditional PID control cannot fundamentally solved the contradiction between static and dynamic performance, tracking data and disturbance .This paper explores a kind of CMAC with nonlinear PID parallel composite control method for dual redundant telescope tracing servo system. The simulation result proves that combined algorithm based on CMAC and PID realizes the servo system without overshoot and accelerates the response of the system. What's more, CMAC feedforward control improves anti-disturbance ability and the control precision of the servo system.

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

2014-07-01

404

Genetic design of interpolated non-linear controllers for linear plants

International Nuclear Information System (INIS)

The techniques of genetic algorithms are proposed as a means of designing non-linear PID control systems. It is shown that the use of genetic algorithms for this purpose results in highly effective non-linear PID control systems. These results are illustrated by using genetic algorithms to design a non-linear PID control system and contrasting the results with an optimally tuned linear PID controller. (author)

405

Improving disturbance rejection of PID controllers by means of the magnitude optimum method.

The magnitude optimum (MO) method provides a relatively fast and non-oscillatory closed-loop tracking response for a large class of process models frequently encountered in the process and chemical industries. However, the deficiency of the method is poor disturbance rejection performance of some processes. In this paper, disturbance rejection performance of the PID controller is improved by applying the "disturbance rejection magnitude optimum" (DRMO) optimisation method, while the tracking performance has been improved by a set-point weighting and set-point filtering PID controller structure. The DRMO tuning method requires numerical optimisation for the calculation of PID controller parameters. The method was applied to two different 2-degrees-of-freedom PID controllers and has been tested on several different representatives of process models and one laboratory set-up. A comparison with some other tuning methods has shown that the proposed tuning method, with a set-point filtering PID controller, is quite efficient in improving disturbance rejection performance, while retaining tracking performance comparable with the original MO method. PMID:19733851

Vranci?, Damir; Strmcnik, Stanko; Kocijan, Jus; de Moura Oliveira, P B

2010-01-01

406

Demonstration of the improved PID method for the accurate temperature control of ADRs

International Nuclear Information System (INIS)

Microcalorimeters require extreme stability (-bar 10?K) of thermal bath at low temperature (?100mK). We have developed a portable adiabatic demagnetization refrigerator (ADR) system for ground experiments with TES microcalorimeters, in which we observed residual temperature between aimed and measured values when magnet current was controlled with the standard Proportional, Integral, and Derivative control (PID) method. The difference increases in time as the magnet current decreases. This phenomenon can be explained by the theory of the magnetic cooling, and we have introduced a new functional parameter to improve the PID method. With this improvement, long-term stability of the ADR temperature about 10?K rms is obtained up to the period of ?15ks down to almost zero magnet current. We briefly describe our ADR system and principle of the improved PID method, showing the temperature control result. It is demonstrated that the controlled time of the aimed temperature can be extended by about 30% longer than the standard PID method in our system. The improved PID method is considered to be of great advantage especially in the range of small magnet current

407

Power System Stability Improvement By Using SVC With TID Tuned PID Controller

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Full Text Available This paper presents the model of a static VARcompensator (SVC which is controlled externally by aProportional IntegralDifferential(PIDcontroller for theimprovements of power system stability and damping effect ofan on line power system. PID parameters has been optimizedby proposed Triple Integral Differential(TID close loop tuningmethod. Both single phase and three phase (L-L faults havebeen considered in the research. In this paper, A power systemnetwork is considered which is simulated in the phasorsimulation method & the network is simulated in three steps;without SVC, With SVC but no externally controlled, SVC withTID tuned PID controller . Simulation result shows that withoutSVC, the system parameters becomes unstable during faults.When SVC is imposed in the network, then system parametersbecomes stable. Again, when SVC is controlled externally byPID controllers, then system parameters(V,P,Q,d? becomesstable in faster way then without controller. It has beenobserved that the SVC ratings are only 20 MVA withcontrollers and 200 MVA without controllers. So, SVC withTID tuned PID controllers are more effective to enhance thevoltage stability and increases power transmission capacity of apower system .The power system oscillations is also reducedwith controllers in compared to that of without controllers. Sowith controllers the system performance is greatly enhanced.

Habibur, Dr. Fayzur, Harun

2012-10-01

408

International Nuclear Information System (INIS)

Energy efficiency enhancement is achieved by utilizing control algorithms that reduce overshoots and undershoots as well as unnecessary fluctuations in the amount of energy input to energy consuming systems during transient operation periods. It is hypothesized that application of control methodologies with characteristics that change with time and according to the system dynamics, identified as dynamic energy efficiency measures (DEEM), achieves the desired enhancement. The objective of this study is to simulate and analyze the effects of fuzzy logic based tuning of proportional integral derivative (F-PID) and proportional sum derivative (F-PSD) controllers for a heating and cooling energy system while accounting for the dynamics of the major system components. The procedure to achieve the objective includes utilization of fuzzy logic rules to determine the PID and PSD controllers gain coefficients so that the control laws for regulating the heat exchangers heating or cooling energy inputs are determined in each time step of the operation period. The performances of the F-PID and F-PSD controllers are measured by means of two cost functions that are based on quadratic forms of the energy input and deviation from a set point temperature. It is found that application of the F-PID control algorithm, as a DEEM, results in lower costs for energy input and deviation from a set point temperature by 24% and 17% as compared to a PID and 13% and 8% as compared to a PSD, respecnd 13% and 8% as compared to a PSD, respectively. It is also shown that the F-PSD performance is better than that of the F-PID controller

409

Continuous Firefly Algorithm for Optimal Tuning of Pid Controller in Avr System

This paper presents a tuning approach based on Continuous firefly algorithm (CFA) to obtain the proportional-integral- derivative (PID) controller parameters in Automatic Voltage Regulator system (AVR). In the tuning processes the CFA is iterated to reach the optimal or the near optimal of PID controller parameters when the main goal is to improve the AVR step response characteristics. Conducted simulations show the effectiveness and the efficiency of the proposed approach. Furthermore the proposed approach can improve the dynamic of the AVR system. Compared with particle swarm optimization (PSO), the new CFA tuning method has better control system performance in terms of time domain specifications and set-point tracking.

Bendjeghaba, Omar

2014-01-01

410

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

Abstract—This paper considers power generation control in variable pitch wind turbines, using an adaptive fuzzy-PID controller. The pitch angle control system was simulated using MATLAB/ SIMULINK tool to test the control strategy and performance evaluation of the system. To test the controller’s performance, a wind profile has been simulated and results are validated to show that the proposed controllers are effective for power regulation. To highlight the improvements of the method the p...

Sachin Goyal; Mukul Gaur,; Prof. Sulata Bhandari,

2013-01-01

411

Parameter Tuning of Fractional PI?D? Controllers With Integral Performance Criterion

A new technique for tuning fractional PI?D? controllers is presented in this paper. This technique is based on the solution of an optimisation problem. The basic ideas of the proposed technique are based on the minimum Integral Squared Error (ISE) criterion, in the first place, for setting the parameters of the fractional PI?D? controller for ? = 1 and ? = 1 which means setting the parameters of the conventional PID controller, and in the second place, for setting the fractional integration action order ? and the fractional differentiation action order ?. The performance of this technique is compared with other techniques already available in the literature, and the results show a significant improvement in the closed-loop responses and more robustness using the parameters obtained by the proposed approach.

Bettou, K.; Charef, A.

2008-06-01

412

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

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

413

Adaptive Functional-Based Neuro-Fuzzy-PID Incremental Controller Structure

Directory of Open Access Journals (Sweden)

Full Text Available This paper presents an adaptive functional-based Neuro-fuzzy-PID incremental (NFPID controller structure that can be tuned either offline or online according to required controller performance. First, differential membership functions are used to represent the fuzzy membership functions of the input-output space of the three term controller. Second, controller rules are generated based on the discrete proportional, derivative, and integral function for the fuzzy space. Finally, a fully differentiable fuzzy neural network is constructed to represent the developed controller for either offline or online controller parameter adaptation. Two different adaptation methods are used for controller tuning, offline method based on controller transient performance cost function optimization using Bees Algorithm, and online method based on tracking error minimization using back-propagation with momentum algorithm. The proposed control system was tested to show the validity of the controller structure over a fixed PID controller gains to control SCARA type robot arm.

Ashraf Ahmed Fahmy

2015-03-01

414

Setpoint Weighted PID Controller for the Electromechanical Actuator in Spacecraft

An intelligent control system for the rocket engine during electromechanical stage is designed and scrutinized in this paper. The rocket is the only vehicle that lift-offs the spacecraft in the space. But, the motion of the rocket can be influenced by internal and external disturbances. Furthermore, the rocket is a multi-input and multi-output nonlinear system whose dynamics are unstable and poorly understood. So the orientation of the spacecraft in precise position is so critical. Hence, att...

Sumathi, R.; Usha, M.

2014-01-01

415

O trabalho consiste na implementação de um controle convencional PID/SISO-feedback para obter um ajuste fino na temperatura de entrada da água de aquecimento em um processo de pasteurização. Para isto utilizou-se uma resistência de 2500 Watts instalada na linha do fluido secundário da seção de aquecimento do pasteurizador e um Pt100 para a medição de sua temperatura. Como o comportamento desta temperatura em função de uma mesma perturbação degrau de potência na resistência é...

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

2004-01-01

416

Performance Enhancement of a Dynamic System Using PID Controller Tuning Formulae

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 ...

Jyotiprakash Patra; Dr.Partha Sarathi Khuntia

2011-01-01

417

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

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

2012-01-01

418

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

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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

419

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

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

2011-01-01

420

Performance Analysis and FPGA Implementation of Digital PID Controller for Speed Control of DC Motor

This paper deals with the performance analysis and implementation of PID(Proportional-Integral-Derivative) Controller on FPGA platform.The hardware implementation has been done on Xilinx Spartan 3E FPGA board.The software implementation has been done using Xilinx ISE 8.1i as a tool and simulation is performed using ModelSim 5.4a as a simulator.The PWM signal is generated by FPGA board,which further given to dc motor for its speed control. A new technique has been introduced for the generat...

Charul Agarwal; Ashutosh Gupta; Haneet Rana

2013-01-01

421

Note: Split PID control—Two sensors can be better than one

The traditional proportional-integral-derivative (PID) algorithm for regulation suffers from a tradeoff: placing the sensor near the sample being regulated ensures that its steady-state temperature matches the desired setpoint. However, the propagation delay (lag) between heater and sample can limit the control bandwidth. Moving the sensor closer to the heater reduces the lag and increases the bandwidth but introduces offsets and drifts into the temperature of the sample. Here, we explore the consequences of using two probes—one near the heater, one near the sample—and assigning the integral term to the sample probe and the other terms to the heater probe. The split-PID algorithm can outperform PID control loops based on one sensor.

Znaimer, Leith; Bechhoefer, John

2014-10-01

422

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

423

In some of the complicated control problems we have to use the controllers that apply nonlocal operators to the error signal to generate the control. Currently, the most famous controller with nonlocal operators is the fractional-order PID (FOPID). Commonly, after tuning the parameters of FOPID controller, its transfer function is discretized (for realization purposes) using the so-called generating function. This discretization is the origin of some errors and unexpected re...

Merrikh-bayat, Farshad; Mirebrahimi, Seyedeh-nafiseh; Khalili, Mohammad-reza

2014-01-01

424

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

425

Design Controller for a Class of Nonlinear Pendulum Dynamical System

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; Reza Ghasemi; Davoud Sanaei

2013-01-01

426

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

427

Directory of Open Access Journals (Sweden)

Full Text Available 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

428

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

This paper proposes PID controller tuning for time delayed process using particle swarm optimization. There is a need to control the process with time delay in many industries. Presence of dead time in control system makes the system uncertain and gives large overshoot. When the time delay becomes longer compare to system time constant, or when the time delay varies, then control of such system becomes very difficult by classical tuning method. However many tec...

Neha Kundariya; Jyoti Ohri

2013-01-01

429

Classical controller design techniques for fractional order case.

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

430

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

431

Multi-stage fuzzy PID power system automatic generation controller in deregulated environments

International Nuclear Information System (INIS)

In this paper, a multi-stage fuzzy proportional integral derivative (PID) type controller is proposed to solve the automatic generation control (AGC) problem in a deregulated power system that operates under deregulation based on the bilateral policy scheme. In each control area, the effects of the possible contracts are treated as a set of new input signals in a modified traditional dynamical model. The multi-stage controller uses the fuzzy switch to blend a proportional derivative (PD) fuzzy logic controller with an integral fuzzy logic input. The proposed controller operates on fuzzy values passing the consequence of a prior stage on to the next stage as fact. The salient advantage of this strategy is its high insensitivity to large load changes and disturbances in the presence of plant parameter variations and system nonlinearities. This newly developed strategy leads to a flexible controller with simple structure that is easy to implement, and therefore, it can be useful for the real world power systems. The proposed method is tested on a three area power system with different contracted scenarios under various operating conditions. The results of the proposed controller are compared with those of the classical fuzzy PID type controller and classical PID controller through some performance indices to illustrate its robust performance

432

Parameter Optimization of PID Controller Based on PSO for Multi-leaf Collimator

According to the control requirements of the leaves’ position precision in the multi-leaf collimator, the structure and working principle of the multi-leaf collimator in the conformal radiation therapy apparatus are described. The motor that drives the leaf of the MLC is taken as the control object. The module of the motor has been established. Then the PSO algorithm is used for the parameter optimization of PID controller that outputs the given expectation to the motor, in order to ens...

Zhang Xin

2013-01-01

433

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

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

434

The development of fractional-order controllers is currently one of the most promising fields of research. However, most of the work in this area addresses the case of linear systems. This paper reports on the analysis of fractional-order control of nonlinear systems. The performance of discrete fractional-order PID controllers in the presence of several nonlinearities is discussed. Some results are provided that indicate the superior robustness of such algorithms.

Barbosa, Ramiro S.; Machado, J. A. Tenreiro; Galhano, Alexandra

2007-01-01

435

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 swa...

S J Bassi, And; Mishra, M. K.; Omizegba, E. E.

2011-01-01

436

Directory of Open Access Journals (Sweden)

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

Haitao Zhang

2011-12-01

437

Directory of Open Access Journals (Sweden)

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

Xiao-Guang Zhang

2013-01-01

438

HYBRID SYSTEM BASED FUZZY-PID CONTROL SCHEMES FOR UNPREDICTABLE PROCESS

Directory of Open Access Journals (Sweden)

Full Text Available In general, the primary aim of polymerization industry is to enhance the process operation in order to obtain high quality and purity product. However, a sudden and large amount of heat will be released rapidly during the mixing process of two reactants, i.e. phenol and formalin due to its exothermic behavior. The unpredictable heat will cause deviation of process temperature and hence affect the quality of the product. Therefore, it is vital to control the process temperature during the polymerization. In the modern industry, fuzzy logic is commonly used to auto-tune PID controller to control the process temperature. However, this method needs an experienced operator to fine tune the fuzzy membership function and universe of discourse via trial and error approach. Hence, the setting of fuzzy inference system might not be accurate due to the human errors. Besides that, control of the process can be challenging due to the rapid changes in the plant parameters which will increase the process complexity. This paper proposes an optimization scheme using hybrid of Q-learning (QL and genetic algorithm (GA to optimize the fuzzy membership function in order to allow the conventional fuzzy-PID controller to control the process temperature more effectively. The performances of the proposed optimization scheme are compared with the existing fuzzy-PID scheme. The results show that the proposed optimization scheme is able to control the process temperature more effectively even if disturbance is introduced.

M.K. Tan

2011-07-01

439

Modeling and Fuzzy Adaptive PID Control of a New Hydraulic Erecting Mechanism

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Full Text Available To overcome the nonlinearity and solve the cooperation problem between erect cylinder and horizontal cylinder of a new hydraulic erecting mechanism, the combined simulation model is built based on AMESim/Simulink.The best cooperation time bteween erect cylinder and horizontal cylinder is confirmed. Further, the fuzzy adaptive PID controller is introduced to improve the control performance aiming to nonlinearity exist in the erecting mechanism.

Jian Xie