Performance Assessment of Tuning Methods for PID Controller Parameter used for Position Control of DC Motor (original) (raw)
Related papers
2014
The objective of this paper is to compare the Genetic Algorithm based PID controller and Fuzzy Logic based PD controller in position control system of a DC motor. Mainly there are two types of controller; PID and Fuzzy Logic PD controller will be used to control the output response. The Fuzzy controller is used to control the position of a motor and motor parameters are taken from a datasheet with respect to a real motor and a simulated model is developed using MATLAB Simulink Toolbox. The controlling signal is computed in real time using suitable fuzzy membership functions depending upon the state of the power factor. It was found that the proposed PD parameters adjustment by the Fuzzy Logic is better than the genetic algorithm method.
The purpose of this paper showed an appraisal study on movement control of The DC engine drive through PID (relative, essential, subsidiary) controller and using Optimization Techniques and canny developments strategies. In a matter of second's days, DC motor is widely used as a piece of business endeavors as a result of its broad assortment of speed control still if its bolster cost is higher than interchange engine. The speed control of DC motor is uncommonly captivating from investigation motivation behind discernment. Such an assortment of methodologies is arranged around there. The PID controller is all the time used as a piece of cutting edge controller expected for non-direct system. This controller is ability used as a part of a huge amount of divergent districts, for example, balance structure, aeronautics, process control, gathering, outlining, prepare and assembling, designing and train. The tuning of PID parameter is uncommonly mind boggling however there are Optimization Techniques and intelligent strategies which are used for tuning of PID controller to control the speed of the DC motor. Tuning of PID parameter is basic in light of the fact that these parameters plays a basic errand in quality and execution in variety of settling time, rise time, peak time, peak overshoot and transient response of the control system. As a last point is unobtrusive components dialog about each techniques freely analyzed into the point way.
Position control of DC motor using genetic algorithm based PID controller
Proceedings of the World Congress on …, 2009
The aim of this paper is to design a position controller of a DC motor by selection of a PID parameters using genetic algorithm. The model of a DC motor is considered as a third order system. And this paper compares two kinds of tuning methods of parameter for PID controller. One is the controller design by the genetic algorithm, second is the controller design by the Ziegler and Nichols method. It was found that the proposed PID parameters adjustment by the genetic algorithm is better than the Ziegler & Nichols' method. The proposed method could be applied to the higher order system also.
On Line Tuning of PID Parameters using Fuzzy Logic for DC Motor Speed Control20191222 94147 1l1for2
International Journal of Scientific & Engineering Research, 2016
Direct current motors have been used in many practical applications for their good characteristics i.e. variable speed and high staring torque. Most of the applications need variable speed drive with precise speed adjustment at certain values. Form this point of view, robust speed control system is needed. In this research proportional-integral-derivative (PID) control scheme is used for DC motor speed control. PID controller has a simple structure and exhibit robust performance over a wide range of operating conditions. The PID controller gathers the advantages of both proportional integral (PI) and proportional derivative (PD) controllers. The major difficulty with the use of PID controller is the tuning of it is gain parameters i.e. the proportional gain (K P), the integrated gain (K I), and the differential gain (K D). The values of these parameters affect the characteristics of the time response i.e. the rising time (Tr), the settling time (Ts), the peak overshoot (P.O.S) and the steady state error (ess). In the present work PID controller is tuned using two methods :. The First: The conventional method (trial and error) the drawbacks of this tuning method is the long time needed for tuning and the lake of ability to adapt any external influences and disturbances. The second: The intelligent method (Fuzzy Logic) in this method fuzzy logic is used for tuning the gain parameters of the PID controller and to solve the tuning problems in the conventional method. This method allows instantaneous and real time tuning of the controller parameter.
On Line Tuning of PID Parameters using Fuzzy Logic for DC Motor Speed Control20191222 666 il1wtw
International Journal of Scientific & Engineering Research, 2016
Direct current motors have been used in many practical applications for their good characteristics i.e. variable speed and high staring torque. Most of the applications need variable speed drive with precise speed adjustment at certain values. Form this point of view, robust speed control system is needed. In this research proportional-integral-derivative (PID) control scheme is used for DC motor speed control. PID controller has a simple structure and exhibit robust performance over a wide range of operating conditions. The PID controller gathers the advantages of both proportional integral (PI) and proportional derivative (PD) controllers. The major difficulty with the use of PID controller is the tuning of it is gain parameters i.e. the proportional gain (K P), the integrated gain (K I), and the differential gain (K D). The values of these parameters affect the characteristics of the time response i.e. the rising time (Tr), the settling time (Ts), the peak overshoot (P.O.S) and the steady state error (ess). In the present work PID controller is tuned using two methods :. The First: The conventional method (trial and error) the drawbacks of this tuning method is the long time needed for tuning and the lake of ability to adapt any external influences and disturbances. The second: The intelligent method (Fuzzy Logic) in this method fuzzy logic is used for tuning the gain parameters of the PID controller and to solve the tuning problems in the conventional method. This method allows instantaneous and real time tuning of the controller parameter.
Mugla Journal of Science and Technology, 2020
Sometimes conventional feedback controllers may not perform well due to changes in environmental conditions, changes in process dynamics that occur over time and changes in characteristics of disturbances. To overcome these problems, adaptive control methods have been developed. In this regard, a Model Reference Adaptive PID Controller (MRAPIDC) is designed using the MIT rule for position control of the DC motor in this study. At the same time, this control method is implemented using a low cost STM32F4 application development kit with Matlab-Simulink supported Waijung block set and compared with PID and fuzzy logic control methods. The results obtained with/without measurement noise disturbance under unit step and sinusoidal inputs are presented.
SPEED CONTROL OF DC MOTOR USING OPTIMIZATION TECHNIQUES BASED PID CONTROLLER
The point of this paper is to illustration a speed Controller of a DC motor by decision of a PID parameters using Genetic Algorithm (GAs), the DC motor is widely used as a part of various applications, for example, steel plants, electric trains, cranes and significantly more. DC could be spoken to by a nonlinear model when nonlinearities, for example, interesting dissemination is considered. To give successful control, nonlinearities and instabilities in the model must be considered in the control plan .the DC motor is considered as third request framework. Target of this paper a arrange of tuning strategies for PID parameters. In this paper a freely invigorated DC motor using MATLAB showing, has been sketched out whose speed may be analyzed using the Proportional, Integral, Derivative (KP, KI , KD) expansion of the PID controller. Subsequent to, built up controllers PID are fail to control the drive when weight parameters be in like manner changed The standard purpose of this paper is to analyze the execution of Optimization procedures viz. The Genetic Algorithm (GA) for improve PID controllers parameters for speed control of DC and rundown their purposes of enthusiasm over the customary tuning techniques.. The results got from GA figuring's were differentiated and that got from conventional system. It was establish that the Optimization systems thump pattern tuning practices of customary PID controllers.
Comparative Study for DC Motor Speed Control Using PID Controller
International Journal of Engineering and Technology, 2017
this paper presents a comparative study between Proportional-Integral-Differential (PID) tuning methods which they are commonly used in industrial application. Modified Ziegler-Nichols, Chien-Hrones-Reswick (CHR), Tyreus-Luyben, Damped Oscillation tuning methods have been chosen for this purpose. The parameters of these methods have been demonstrated. A permanent magnet direct current (PMDC) motor has been introduced as speed control target. The parameters of the PMDC have been calculated practically. Atmega328 microcontroller and IBT-2 driver that control the speed of the selected PMDC using pulse width modulation (PWM) have been adopted as a practical control circuit. For simulation the mathematical models of all PID tuning methods by using Matlab Simulink. All the results show that the Modified Ziegler-Nichols is the most suitable tuning method for targeted system, since this tuning method provides more dynamic response to load disturbance with acceptable overshoot.
Tuning of PID Controller for Position Control of DC Servo Motor using Luus-Jaakola Optimization
— This paper presents an efficient and fast tuning method of controller parameters for position control of DC servo motor. A control scheme for PID controller tuning is proposed here which is based on Luus-Jaakola Optimization. Luus-Jaakola optimization procedure is used to optimize large scale nonlinear optimization problems. The tuning of PID controllers is accomplished by minimizing the Integral-Square-Error (ISE). The ISE is minimized using the Luus–Jaakola (LJ) optimization algorithm. LJ optimization procedure is a simple, yet powerful method for optimization available in literature. The results of PID control using LJ method are compared with the Ziegler-Nichol's (ZN) tuning. The simulation results show that the LJ method performs better results than the ZN technique and can successfully be used for tuning of PID controllers for DC servo motor. Keywords— Luus Jaakola (LJ), DC servo motor, Integral-Square Error (ISE), Ziegler-Nichols(ZN)
Control of DC Motor Using Genetic Algorithm Based PID Controller
ICUE,IEEE, 2018
The paper deals with the optimized tuning of P.I.D controller which is used to control the D C Motor. In this research work different PID tunings techniques are discussed. D.C Motor due to its very simple regulated characteristics is used in this paper. Due to this fact D.C. Motors are widely used in many industrial applications like steel mills, electric trains and many more. Here G.A-P.I.D (Genetic Algorithm-P.I.D) with different performance indices namely Mean Square Error (M.S.E) and Integral of Time multiplied by Absolute Error (I.TA.E) optimization technique is compared with standard P.I.D parameter adjustment technique i.e. Ziegler & Nichols method. Comparison of results are based on standard step responses parameters i.e. maximum overshoot, steady state and rise time. Index Terms-DC Motor position control, PID parameters tuning by G.A, Ziegler Nichols Method.