An Adaptive Fuzzy Controller Using Fuzzy Nerual Networks

  • Takeshi-Furuhashi (Department of Electronic-Mechanical Engineering, Nagoya University) ;
  • Takashi-Hasegawa (Department of Electronic-Mechanical Engineering, Nagoya University) ;
  • Horikawa, Shin-ichi (Department of Electronic-Mechanical Engineering, Nagoya University) ;
  • Yoshiki-Uchikawa (Department of Electronic-Mechanical Engineering, Nagoya University)
  • Published : 1993.06.01

Abstract

This paper presents and adaptive fuzzy controller using fuzzy neural networks(FNNs). The adaptive controller uses two FNNs. One FNN is used to identify a fuzzy model of controlled object. The other FNN is used as a fuzzy controller. The fuzzy controller is designed with the linguistic rules of the fuzzy model. The response of the designed control system is checked with a linguistic response analysis proposed by the authors. An adaptive tuning of the control rules of the FNN controller is made possible utilizing the fuzzy model. Simulations using nonlinear controlled objects were done to verify the proposed control system.

Keywords