Implementation of Fuzzy Controller of DC Motor Using Evolutionary Computation

진화 연산을 이용한 DC 모터 퍼지 제어기 구현

  • Hwang, G.H. (Dept. of Electrical Engineering, Pusan National University) ;
  • Kim, H.S. (Dept. of Electrical Engineering, Pusan National University) ;
  • Mun, K.J. (Dept. of Electrical Engineering, Pusan National University) ;
  • Lee, H.S. (Dept. of Electrical Engineering, Pusan National University) ;
  • Park, J.H. (Dept. of Electrical Engineering, Pusan National University) ;
  • Hwang, C.H. (Dept. of Electrical Engineering, Pusan National University)
  • 황기현 (부산대학교 공과대학 전기공학과) ;
  • 김형수 (부산대학교 공과대학 전기공학과) ;
  • 문경준 (부산대학교 공과대학 전기공학과) ;
  • 이화석 (부산대학교 공과대학 전기공학과) ;
  • 박준호 (부산대학교 공과대학 전기공학과) ;
  • 황창선 (부산대학교 공과대학 전기공학과)
  • Published : 1995.11.18

Abstract

This paper proposes a design of self-tuning fuzzy controller based on evolutionary computation. Optimal membership functions are found by using evolutionary computation. Genetic algorithms and evolution strategy are used for tuning of fuzzy membership function. An arbitrarily speed trajectory is selected to show the performance of the proposed methods. Experiment results show the good performance in the DC motor control system with the self-tuning fuzzy controller based on evolutionary computation.

Keywords