Comparison of Performance Measures of Speed Control for a DC Motor Using Hybrid Intelligent Controller and Optimal LQR

Abstract:

-In this paper , performance of fuzzy PD , fuzzy PI , fuzzy PD+I , fuzzy PID controllers are evaluated and compared. This paper also describes the speed control based on Linear Quadratic Regulator (LQR) technique. The comparison is based on their ability of controlling the speed of DC motor, which merely focuses on performance index of the controllers, and also time domain specifications such as rise time, settling time and peak overshoot. The controller is modelled using MATLAB software, the simulation results shows that the fuzzy PID controllers are the best performing candidates in all aspects but it as higher overshoot and IAE in comparison with optimal LQR. The Fuzzy PI controller exhibited null offset but suffers from poor stability and peak overshoot, whereas the fuzzy PD controller has fast rise time, with no overshoots but the IAE is much greater. Thus, the comparative analysis recommends fuzzy PID controller but it is usually associated with complicated rule base and tedious tuning. To circumvent these problems, the proposed LQR controller gives better performance than the other controllers.

• Periodical: Applied Mechanics and Materials (Volume 622)
• Pages: 23-31
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.622.23
• Online since: August 2014
• Authors: T. Velayudham Narmadha*, Chackaravarthy Baskaran, K. Sivakumar
• Keywords: Fuzzy Controllers, LQR, Motor Control, Performance Index, Performance Specifications, Regulator Control, Servo Control

References

[1] Driankov.D,Hellendorn, H Reinfrank.M, 'An Introduction to Fuzzy Control', Springer-verlag, (1993)

[2] Neenu Thomas and Dr. P.Poongodi, "Position Control of DC Motor Using Genetic Algorithm Based PID Controller", Proceedings of the World Congress on Engineering 2009 Vol. II, WCE2009, July 1-3, 2009, London, U.K.

[3] Boumediene Allaoua, Barhim Gasbaoui and Barhim Mebarki, "Setting Up PID DC Motor Speed Control alteration Parameters Using Particle Swarm Optimization Strategy", Leonardo Electronic Journal of Practices and Technologies, ISSN 1583-1078, Issue 14, January-June 2009, pp.19-32.

DOI: 10.2174/978160805126711201010003

[4] Mehmet Karadeniz, Ires Iskender , Selma Yüncü ,'Adaptive Neural Network Control of a DC motor, ELECO 2003, Bursa, Turkey.

[5] Firas Mohammed To'aima, "Optimal Control of Governor and Exciter for Turbogenerator using LQG", Baghdad University, College of Engineering, PhD Thesis, November2006.

[6] Gwo-Ruey Yu and Rey-Chue Hwang, "Optimal PID speed control of brushless DC motors using LQR approach", Systems, Man and Cybernetics, 2004 IEEE International Conference on Vol 1, Issue , 10-13 Oct. 2004, pp: 473 – 478.

DOI: 10.1109/icsmc.2004.1398343

[7] Hadi Delavari, Ghasem Alizadeh and Mohammad Bagher Bannane Sharifian, "Optimal Integral State Feedback Controller for a DC Motor", 2006, paper identification number 440.

[8] Sharaf, A.M., Elbakush, E., Altas, I.H., "Novel Control Strategies for Photovoltaic Powered PMDC Motor Drives', IEEE, 2007 .

DOI: 10.1109/epc.2007.4520376

[9] Roozbeh Molavi, and Davood A. Khaburi, "Optimal Control Strategies for Speed Control of Permanent-Magnet Synchronous Motor Drives", World Academy of Science, Engineering and Technology 44, 2008, pp.428-432.

DOI: 10.1109/pecon.2008.4762479

[10] Jan Jantzen, 'Tuning of Fuzzy PID Controllers',www.iau.dtu.dk/~jj/pubs/fpid.pdf

[11] Robert Bicker, Zhongxu Hu, Kevin Burn,'A Self Tuning Robotic Force Controller', Proceedings , Springer Verlag, 2002.

[12] Shoba E.S.R, T.V. Narmadha, 'A Fuzzy PD+I controller for speed control of DC Shunt Motor', Proceedings of NCICCA 2005, Tamil Nadu , India pg 366-370,2005.

[13] . Katsuhiko Ogata: System Dynamics; Prentice Hall International, Inc. Third Edition 1998.

[14] Katsuhiko Ogata: Modern Control Engineering; Prentice Hall International, Inc. Fourth Edition 2002.

[15] Rashid M.H., 'Power Electronics' , Prentice Hall, 1998.

[16] Pitikhate Sooraksa,Thana pattaradej, Guanrong Chen,'Design and Implementation of Fuzzy PID Controller for Handlebar Control of a Bicycle Robot', Integrated Computer-Aided Engineering, Vol. 9, No. 4, Fall 2002.

DOI: 10.3233/ica-2002-9402