[KSCI] Korea Science Citation Index Service

Design of Adaptive Fuzzy Logic Controller for Speed Control of AC Servo Motor

Nam Jing-Rak (Changwon national University)
Kim Min-Chan (Department of Electrical Engineering Tongmyong College)
Ahn Ho-Kyun (Department of Electrical Engineering Changwon national University)
Kwak Gun-Pyong (Department of Electrical Engineering Changwon national University)
Chung Chin-Young (Department of Electrical Engineering Changwon national University)

Publication Information

Journal of information and communication convergence engineering / v.3, no.1, 2005 , pp. 43-48 More about this Journal

Abstract

In this paper, the adaptive fuzzy logic controller(AFLC) is proposed, which uses real-coding genetic algorithm showing a good performance on convergence velocity and diversity of population among evolutionary computations. The effectiveness of the proposed AFLC was demonstrated by computer simulation for speed control system of AC servo motor. As a result of simulation for the AC servo motor, it is shown the proposed AFLC has the better performance on overshoot, settling time and rising time than the PI controller which is used when tuning AFLC.

Keywords

Fuzzy Control; Adaptive Control; Neural Network; Speed Control; AC Servo Motor;

Citations & Related Records

Reference

1	J. R. Nam, H. K. Ahn, G. H. Hwang, D. W. Kim, D. H. Lee, 'Design of Adaptive Fuzzy Logic Controller Using Real-Coding Genetic Algorithm and Neural Network' Proceedings of KIEE, Vol. 50p, No.1, pp. 35-41, March, 2001
2	J. Hu, D. M. Dawson, and J. J Carroll, 'An Adaptive Integrator Backstepping Tracking Controller For Brushless DC Motor/Robotic Load', American Control Conference, Vol. 2, pp. 1401-1405, 1994 DOI
3	S. Weerasoriya, A. Mohamed, and A. El-Sharkawi, 'Laboratory Implementation of a Neural Network Trajectory Controller for a DC Motor', IEEE Transactions on Energy Conversion, Vol. 8, No.1, pp.107-113,March,1993 DOI ScienceOn
4	V. Maniezzo, 'Genetic Evaluation of the Topology and Weight Distribution of Neural Networks', IEEE Transactions on Neural Networks, Vol. 5, No. 1, pp. 39 - 53, Jan., 1994 DOI ScienceOn
5	K. H. Kim, I. C. Baik, S. K. Chung, and M. J. Youn, 'Robust Speed Control of Brushless DC Motor Using Adaptive Input-output Linearisation Technique', lEE Proceedings Electric Power Applications, Vol, 144, No.6, pp. 469-475, Nov. 1997 DOI ScienceOn
6	Z. Michalewicz, Genetic Algorithms + Data Structures = Evolution Programs, Springer- Verlag, 1992
7	M. M. Salem, Y. Atia, M. B. Zahran, and A. M. Zaki, 'Real-time Implementation of Online Trained Neurocontroller for a BLDC Motor', International Joint Conference on Neural Networks, Vol. 1, pp. 527-531,2001 DOI