Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Design of an Adaptive Fuzzy Controller using Genetic Algorithm

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  • Huh, Sung-Hoe (School of Electrical Engineering, Korea University) ;
  • Seo, Ho-Joon (School of Electrical Engineering, Korea University) ;
  • Park, Jang-Hyun (School of Electrical Engineering, Korea University) ;
  • Yun, Pil-Sang (School of Electrical Engineering, Korea University) ;
  • Park, Gwi-Tae (School of Electrical Engineering, Korea University)
  • 허성회 (고려대학교 전기.전자.전파 공학부) ;
  • 서호준 (고려대학교 전기.전자.전파 공학부) ;
  • 박장현 (고려대학교 전기.전자.전파 공학부) ;
  • 윤필상 (고려대학교 전기.전자.전파 공학부) ;
  • 박귀태 (고려대학교 전기.전자.전파 공학부)
  • Published : 1999.11.20
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Abstract

In adaptive fuzzy control, system designer develops an adaptive law for the output of the unknown plant to track a given signal. The adaptation gains of the adaptive law are critical elements in the overall system, however, they were used to be selected by the designer's experience or intuition. In this paper, genetic algorithm is used to search an optimal adaptation gain and simulation results will be presented to show the improved tracking responses.

Keywords