Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Hybrid Fuzzy Controller Based on Control Parameter Estimation Mode Using Genetic Algorithms

유전자 알고리즘을 이용한 제어파라미터 추정모드기반 HFC

  • Lee, Dae-Keun (School of Electrical and Electronic Engineering, Wonkwang Univ.) ;
  • Oh, Sung-Kwun (School of Electrical and Electronic Engineering, Wonkwang Univ.) ;
  • Jang, Sung-Whan (School of Electrical and Electronic Engineering, Wonkwang Univ.)
  • 이대근 (원광대학교 전기전자공학부) ;
  • 오성권 (원광대학교 전기전자공학부) ;
  • 장성환 (원광대학교 전기전자공학부)
  • Published : 2000.07.17
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Abstract

In this paper, a hybrid fuzzy controller using genetic algorithm based on parameter estimation mode to obtain optimal control parameter is presented. First, The control input for the system in the HFC is a convex combination of the FLC's output in transient state and PID's output in steady state by a fuzzy variable, namely, membership function of weighting coefficient. Second, genetic algorithms is presented to automatically improve the performance of hybrid fuzzy controller utilizing the conventional methods for finding PID parameters and estimation mode of scaling factor. The algorithms estimates automatically the optimal values of scaling factors, PID parameters and membership function parameters of fuzzy control rules according to the rate of change and limitation condition of control input. Computer simulations are conducted to evaluate the performance of proposed hybrid fuzzy controller. ITAE, overshoot and rising time are used as a performance index of controller.

Keywords