Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Fuzzy Rules and Membership Functions Tunning of Fuzzy Controller Applying Genetic Algorithms of Speed Control of DC Motor

퍼지 제어기의 퍼지규칙 및 멤버쉽 함수 튜닝에 유전알고리즘을 적용한 직류 모터의 속도제어

  • Hwang, G.H. (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) ;
  • Hwang, C.S. (Dept. of Electrical Engineering, Pusan National University) ;
  • Kim, J.K. (R&D Center, Sumsung Heavy Industries Co.)
  • Published : 1996.07.22
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Abstract

This paper proposes a design of self-tuning fuzzy rules and membership functions based on genetic algorithms. Sub-optimal fuzzy rules and membership functions are found by using genetic algorithms. Genetic algorithms are used for tuning fuzzy rules and membership functions. A arbitrary speed trajectories are selected for the reference input of the proposed methods. Experimental results show the good performance in the DC motor control system with the self-tuning fuzzy controller based on genetic algorithms.

Keywords