GENETIC ALGORITHM BASED FRACTIONAL ORDER CONTROLLER FOR A DC MOTOR POSITION SERVO SYSTEM

Published 31 July 2020 •  vol 13  •  no 7  • 


Authors:

 

M. Arounassalame, Department of Electrical and Electronics Engineering, Pondicherry Engineering College, India

Abstract:

 

In this paper an attempt is made to design a fractional order PID controller for the DC motor servo system based on Genetic algorithms. Traditionally PID controllers were designed using simple Zeigler Nicols tuning rules. Later the PID controllers were designed using genetic algorithms. But the problem with conventional PID controller is that it has only 3 variables to control the performance of the system. But in fractional order PID control it is possible to control the system performance using 5 variables. The additional 2 variables correspond to the fractional parameters. With fractional order controllers, there is a better flexibility in adjusting the gain and phase characteristics than using integer order controllers. This flexibility makes the fractional order control a powerful tool in designing robust control system with less controller parameters to tune. In this work a Fractional order PID (FOPID) controller is designed using Genetic algorithm and the performance of the closed loop system is analyzed, and compared with the closed loop performance obtained for system with Integer order PID(IOPID) controller designed using genetic algorithm. It is found that the performance of the DC motor system is very good in terms of both transient and steady state, while using fractional order PID controller.

Keywords:

 

DC Motor Position Servo System, Integer Order PID Controller, Fractional Order PID Controller, Genetic Algorithm E Would Like To Encourage You To List Your Keywords In This Section

References:

 

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Citations:

 

APA:
Arounassalame, M. (2020). Genetic Algorithm based Fractional Order Controller for a DC Motor Position Servo System. International Journal of Control and Automation (IJCA), ISSN: 2005-4297 (Print); 2207-6387 (Online), NADIA, 13(7), 21-30. doi: 10.33832/ijca.2020.13.7.03.

MLA:
Arounassalame, M. “Genetic Algorithm based Fractional Order Controller for a DC Motor Position Servo System.” International Journal of Control and Automation, ISSN: 2005-4297 (Print); 2207-6387 (Online), NADIA, vol. 13, no. 7, 2020, pp. 21-30. IJCA, http://article.nadiapub.com/IJCA/vol13_no7/3.html.

IEEE:
[1] M. Arounassalame, "Genetic Algorithm based Fractional Order Controller for a DC Motor Position Servo System." International Journal of Control and Automation (IJCA), ISSN: 2005-4297 (Print); 2207-6387 (Online), NADIA, vol. 13, no. 7, pp. 21-30, July 2020.