대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)

대한전기학회 (The Korean Institute of Electrical Engineers)
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유전알고리즘을 이용한 이득요소 동조 퍼지 제어기 최적설계

Optimal Design of Scaling Factor Tuning of Fuzzy Logic Controller Using Genetic Algorithm

  • 황용원 (건국대학교 전기공학과) ;
  • 오진수 (건국대학교 전기공학과) ;
  • 박근화 (건국대학교 전기공학과) ;
  • 홍영준 (건국대학교 전기공학과) ;
  • 남문현 (건국대학교 전기공학과)
  • Hwang, Yong-Won (Department of Electrical Engineering, Kon-Kuk University) ;
  • Oh, Jin-Soo (Department of Electrical Engineering, Kon-Kuk University) ;
  • Park, Kun-Hwa (Department of Electrical Engineering, Kon-Kuk University) ;
  • Hong, Young-Jun (Department of Electrical Engineering, Kon-Kuk University) ;
  • Nam, Moon-Hyon (Department of Electrical Engineering, Kon-Kuk University)
  • 발행 : 1999.07.19
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초록

This paper presents a scaling factor tuning method to improve the performance of fuzzy logic controller. Tuning rules and reasoning are utilized off-line to determine the scaling factors based on absolute value of the error and its difference. In this paper We proposed a new method to generate fuzzy logic controllers throught genetic algorithm. The developed approach is subsequently applied to the design of proportional plus integral type fuzzy controller for a dc-servo motor control system. The performance of this control system is demonstrated higher than a conventional fuzzy logic controller(FLC).

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