A DC Motor Speed Control using Fuzzy System and Evolutionary Computation

퍼지 시스템과 진화연산을 이용한 DC 모터 속도제어

  • Hwang, K.H. (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) ;
  • Kim, H.S. (Dept. of Electrical Engineering, Pusan National University) ;
  • Park, J.H. (Dept. of Electrical Engineering, Pusan National University)
  • 황기현 (부산대학교 공과대학 전기공학과) ;
  • 문경준 (부산대학교 공과대학 전기공학과) ;
  • 이화석 (부산대학교 공과대학 전기공학과) ;
  • 김형수 (부산대학교 공과대학 전기공학과) ;
  • 박준호 (부산대학교 공과대학 전기공학과)
  • Published : 1995.07.20

Abstract

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

Keywords