A Comparative Study of PID, Fuzzy, Fuzzy-PID, PSO-PID, PSO-Fuzzy, and PSO-Fuzzy-PID Controllers for Speed Control of DC Motor Drive

H. E. A. Ibrahim(1*), Mahmoud A. Elnady(2)

(1) Cairo University, Cairo, Egypt
(2) Cairo University, Cairo, Egypt
(*) Corresponding author


DOI's assignment:
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)

Abstract


The goal of this work is to present analysis for various controllers for speed control of DC motor. Six types of controllers, namely PID Controller, fuzzy logic controller, fuzzy PID controller, Particle Swarm Optimization (PSO) based tuning of PID controller, Particle Swarm Optimization (PSO) based tuning of Fuzzy controller, and Particle Swarm Optimization (PSO) based tuning of Fuzzy PID controller will be used to control the speed of separately excited DC motor. The main objective of this comparison is to consider time domain specifications of the controller such as overshoot, rising time, settling time and stationary error. This comparative study is made using computer simulation. Simulation results demonstrate that the behavior of Particle Swarm Optimization (PSO) based tuning of Fuzzy PID controller is better than the other controller for the speed control of DC motor.
Copyright © 2013 Praise Worthy Prize - All rights reserved.

Keywords


DC Motor; PID Controller; Fuzzy Logic Controller; Particle Swarm Optimization (PSO)

Full Text:

PDF


References


S. Saini and A. Kumar, Speed Control of Separately Excited D.C Motor using Self Tuned ANFIS Technique, International Journal of Computer Science And Technology , Vol. 3, n. 3, March 2012, pp. 500-504.

A. J. Mohammed, A Particle Swarm Optimization (PSO) Based Optimum of Tuning PID Controller for a Separately Excited DC Motor (SEDM), Eng. & Tech. Journal, Vol. 29, n. 16, 2011, pp. 3322- 3323.

A. K. Dewangan, D. Sharma and S. Mishra, PID Controller Based Chopper-Fed DC Motor Drive Using Fuzzy Logic, International Journal of Engineering, Vol. 2, n. 3, May 2012, pp.1073-1081.

J. Yan, M. Ryan and J. Power, Using Fuzzy Logic Toward Intelligent System (Prentice Hall, New York, Inc., 1994).

Z. X. Ming and L. S. Yu, Simulation Study on Fuzzy PID Controller for Dc Motor Based On DSP, IEEE Conference on Industrial Control and Electronics Engineering ~ICICEE 2012~, 23-25 August, 2012, Xi'an, China.

D. P. Kumar and D. Sunitha, Speed Control of Induction Motor using PID and Fuzzy Controller, International Conference on Computing and Control Engineering ~ICCCE 2012~, 12-13 April, 2012, Chennai, Tamil Nadu, India.

M. I. Solihin, L. F. Tack and M. L. Kean, Tuning of PID Controller Using Particle Swarm Optimization (PSO), International Conference on Advanced Science, Engineering and Information Technology ~ICASEIT 2011~, 14-15 January 2011, Hotel Equatorial Bangi, Putrajaya, Malaysia.

P. Kaur, S. Kumar and A. Singh, Optimization of Membership Functions Based on Ant Colony Algorithm, International Journal of Computer Science and Information Security, Vol. 10, n. 4, April 2012, pp. 38-45.

B. Allaoua, A. Abderrahmani, B. Gasbaoui and A. Nasri, The Efficiency of Particle Swarm Optimization Applied on Fuzzy Logic DC Motor Speed Control, Serbian Journal Of Electrical Engineering, Vol. 5, n. 2, November 2008, pp. 247-262.

S. Bouallegue, J. Haggege, M. Ayadin and M. Benrejeb, PID-type fuzzy logic controller tuning based on particle swarm optimization, Elsevier journal on Engineering Applications of Artificial Intelligence, Vol. 25 n. 3, April 2012, pp. 484-493.

B. A. Omar, A. Y. Haikal and F. F. Areed , An Adaptive Neuro-Fuzzy Speed Controller for a Separately excited DC Motor, International Journal of Computer Applications, Vol. 39, n. 9, February 2012, pp. 29-37.

N. J. S. Amlashi, Design and Implementation of Fuzzy Position Control System for Tracking Applications and Performance Comparison with Conventional PID , IAES International Journal of Artificial Intelligence, Vol. 1, n. 1, March 2012, pp. 31-44.

K. M. Passino and S. Yurkovich, Fuzzy Control (Addison Wesley Publishing Company, Inc., 1997).

R. K. Karsh, Dr. G. K. Choudhary, and C. Kumar, Speed Control of Separately Excited dc Motor using Fuzzy Technique, ACEEE International Journal on Electrical and Power Engineering, Vol. 2, n. 03, November 2011, pp. 109-113.

A. J. Ashraf, DC Motor Speed Control Via Fuzzy / Pole Placement / PI Controller, Masters Dissertation, Dept. Elect. Eng., Dalarna University, Sweden, 2010.

P. K. Sahoo, Speed Control Of Separately Excited Dc Motor Using Self Tuned Fuzzy Pid Controller, Masters Dissertation, Dept. Elect. Eng., National Institute of Technology Rourkela, Odisha, India, 2011.

D. P. Rini, S. M. Shamsuddin and S. S. Yuhaniz. Particle Swarm Optimization: Technique, System and Challenges, International Journal of Computer Applications, Vol. 14, n. 1, January 2011, pp. 19-27.

T.V. Mahendiran, K. Thanushkodi and P. Thangam , Speed Control of Switched Reluctance Motor Using New Hybrid Particle Swarm Optimization, Journal of Computer Science, Vol. 8, n. 9, September 2012, pp. 1473-1477.

Matthew Settles, “An Introduction to Particle Swarm Optimization”, International Journal of Computer Theory and Engineering, Vol. 1, n. 5, November 2005, pp. 1-8.

B. Jena And S. Kumar, Tuning Of Pid Controller By Bioinspired Techniques, Masters Dissertation, Dept. of Electronics & Communication Eng., National Institute of Technology Rourkela, Odisha, India, 2011.

H. T. Dorrah, A. M. El-Garhy and M. E. El-Shimy, PSO based optimized fuzzy controllers for decoupled highly interacted distillation process, Ain Shams Engineering Journal, Vol. 3, n. 3, September 2012, pp. 251-266.

K. E. Permana and S. Z. M. Hashim, Fuzzy Membership Function Generation Using Particle Swarm Optimization, International Journal of Open Problems in Computer Science and Mathematics, Vol. 3, n. 1, March 2010, pp. 27-41.

H. T. Dorrah, A. M. El-Garhy and M. E. El-Shimy, Design of PSO-Based Optimal Fuzzy PID Controllers for the Two-Coupled Distillation Column Process, International Middle East Power Systems Conference ~MEPCON 2010~, December 19-21, 2010, Cairo University, Egypt.

T. V. Mahendiran, P. Thangam and K. Thanushkodi, “Analysis on Linear and Non-Linear Drives Control of Separately Excited DC Motor Using Particle Swarm Optimization”, European Journal of Scientific Research, Vol. 50, n. 2, February 2012, pp. 225-237.

S. R. Khuntia, K. B. Mohanty and S. Panda and C. Ardil, A Comparative Study of P-I, I-P, Fuzzy and Neuro-Fuzzy Controllers for Speed Control of DC Motor Drive, International Journal of Electrical and Computer Engineering , Vol. 5, n. 5, Summer 2010, pp. 287- 291.

T. V. Mahendiran , P. Thangam and K. Thanushkodi, A Comparative Study on Non Linear Drive Control for Separately Excited DC Motor Using Fuzzy Logic Controller, Fuzzy PI Controller and PSO Tuned Fuzzy PI Controller, International Journal of Research and Reviews in Electrical and Computer Engineering, Vol. 1, n. 1, March 2011, pp. 33-38.

http://www.mathworks.com/matlabcentral/fileexchange/36508-fuzzy-controller-based-speed-control-of-dc-motor.

Chiha, I., Liouane, H., Liouane, N., A hybrid method based on Multi-Objective Ant Colony optimization and differential evolution to design PID DC motor speed controller, (2012) International Review on Modelling and Simulations (IREMOS), 5 (2), pp. 905-912.

Ananthamoorthy, N.P., Baskaran, K., Modelling, simulation and analysis of fuzzy logic controllers for permanent magnet synchronous motor drive, (2013) International Review on Modelling and Simulations (IREMOS), 6 (1), pp. 75-82.


Refbacks

  • There are currently no refbacks.



Please send any questions about this web site to info@praiseworthyprize.com
Copyright © 2005-2017 Praise Worthy Prize