Browse > Article
http://dx.doi.org/10.6109/jkiice.2007.11.5.1019

Design of a Fuzzy Logic Controller Using an Adaptive Evolutionary Algorithm for DC Series Motors  

Kim, Dong-Wan (동명대학교 전기전자공학과)
Hwang, Gi-Hyun (동서대학교 컴퓨터정보공학부)
Lee, Jae-Hyun (동명대학교 항만물류학부)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.11, no.5, 2007 , pp. 1019-1028 More about this Journal
Abstract
In this paper, adaptive evolutionary algorithm(AEA) is proposed, which uses both genetic algorithm(GA) with good global search capability and evolution strategy(ES) with good local search capability in an adaptive manner, when population evolves to the next generation. In the reproduction procedure, proportion of the population for GA and ES is adaptively determined according to their fitness. The AEA is used to design membership functions and scaling factors of the fuzzy logic controller(FLC). To evaluate the performance of the proposed FLC design method, we make an experiment on the FLC for the speed control of an actual DC series motor system with nonlinear characteristics. Experimental results show that the proposed controller has better performance than PD controller.
Keywords
Adaptive Evolutionary Algorithm (AEA); Fuzzy Logic Controller (FLC); DC series motors;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Abraham Kandel, Gideon Langholz, 'Fuzzy Control Systems', CRC Press,1994
2 Y. S. Kung and C. M. Liaw, 'A Fuzzy Controller Improving a Linear Model Following Controller for Motor Drives,' IEEE Transactions on Fuzzy Systems, vol. 2, no. 3, pp. 194-201, Aug., 1994   DOI   ScienceOn
3 D. A. Linkens and H. O. Nyongesa, 'Genetic Algorithms for Fuzzy Control: Part 1 : Offline System Development and Application', lEE Proceeding Control Theory Application', vol. 142, No.3, pp. 161-176, May,1995
4 K. Krishnakumar, David E. Goldberg, 'Control System Using Genetic Algorithms', Journal of Guidance, Control, and Dynamics, vol. 15,No.3, pp. 735-740, May,1992   DOI
5 G. H. kim, S. I. Kang, and J. H. Lee, 'Study on the Real-Time Moving Object Tracking using Fuzzy Controller', Journal of KIMlCS, vol. 10, No.1, pp. 191-196, 2006   과학기술학회마을
6 M. Srinivas andL. M. Patnaik,'Adaptive Probabilities of Crossover and Mutation in Genetic Algorithms', IEEE Transactions on Systems, Man and Cybernetics, vol. 24, No.4, pp.656-667, April, 1994   DOI   ScienceOn
7 H. P. Schwefel, 'Evolution and Optimum Seeking', Sixth Generation Computer Technology Series, Wiley, 1995
8 J. Arabas, Z. MichaIewicz, and J. Mulawka, 'GAVaPS-a Genetic Algorithm with Varying Population Size', IEEE International Conference on Evolutionary Computation, pp. 73-78,1994
9 D. B. Fogel, 'An Introduction to Simulated Evolutionary Optimization', IEEE Transactions on Neural Networks, vol. 5, No.1, Jan. 1994
10 Jinwoo Kim,Yoonkeon Moon,and Bernard P. Zeigler, 'Designing Fuzzy Net Controllers Using Genetic Algorithms', IEEE Transaction on Control System, pp. 66-72, June, 1995
11 D. B. Fogel, L. J. Fogel and J. W. Atmas, 'Meta Evolutionary Programming', Proceedings 2sth Asilomar Conference on Systems, Signals, and Computers, pp. 540-545, 1991