Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1998.07b
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- Pages.509-511
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- 1998
Design of Sophisticated Self-Tuning Fuzzy Logic Controllers Using Genetic Algorithms
유전알고리즘을 이용한 정교한 자기동조 퍼지 제어기의 설계
- Hwang, Yon-Won (Department of Electrical Engineering, Kon-Kuk University) ;
- Kim, Lark-Kyo (Department of Electrical Engineering, Kon-Kuk University) ;
- Nam, Moon-Hyon (Department of Electrical Engineering, Kon-Kuk University)
- Published : 1998.07.20
Abstract
Design of fuzzy logic controllers encounters difficulties in the selection of optimized membership function and fuzzy rule base, which is traditionally achieved by tedious trial-and-error process. In this paper We proposed a new method to generate fuzzy logic controllers throught genetic algorithm(GA). The controller design space is coded in base-7 strings chromosomes, where each bit gene matches the 7 discrete fuzzy value. The developed approach is subsequently applied to the design of proportional plus integral type fuzzy controller for a do-servo motor control system. It was presented in discrete fuzzy linguistic value, and used a membership function with Gaussian curve. The performance of this control system is demonstrated higher than that of a conventional PID controller and fuzzy logic controller(FLC).
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