Fuzzy control system tuning by performance evaluation

성능평가에 의한 퍼지제어시스템 동조

  • Jeong, Heon (Dept. of Control & Instrumentation Eng., Cho-Sun University) ;
  • Jeong, Chang-Gyu (Dept. of Control & Instrumentation Eng., Cho-Sun University) ;
  • Ko, Nack-Yong (Dept. of Control & Instrumentation Eng., Cho-Sun University) ;
  • Kim, Young-Dong (Dept. of Control & Instrumentation Eng., Cho-Sun University) ;
  • Choi, Han-Soo (Dept. of Control & Instrumentation Eng., Cho-Sun University)
  • 정헌 (조선대학교 제어계측공학과) ;
  • 정창규 (조선대학교 제어계측공학과) ;
  • 고낙용 (조선대학교 제어계측공학과) ;
  • 김영동 (조선대학교 제어계측공학과) ;
  • 최한수 (조선대학교 제어계측공학과)
  • Published : 1995.07.20

Abstract

The most effective way to improve the performance of a fuzzy controller may be to optimize look-up values. Look-up values are derived from processes used input-output scale factors, membership functions, rule base, fuzzy inference method and defuzzification. It is powerful way to modify or organize look-up table values. In this paper, We propose the look-up values self-organizing fuzzy controller(LSOFC). We use the plus-minus tuning method(PMTM), scanning values through the processes of addition and subtraction. We show the efficiency of this LSOFC by the results of simulation for nonlinear time-varying plant with unmodelled dynamics.

Keywords