Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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A Study on Induction Motor Speed Control Using Fuzzy-Neural Network

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  • Kim, Sei-Chan (Dept. of Electrical Engineering, Sung kyun kwan University) ;
  • Kim, Hak-Sung (Dept. of Electrical Engineering, Sung kyun kwan University) ;
  • Ryoo, Hong-Je (Dept. of Electrical Engineering, Sung kyun kwan University) ;
  • Won, Chung-Yuen (Dept. of Electrical Engineering, Sung kyun kwan University)
  • 김세찬 (성균관 대학교 전기공학과) ;
  • 김학성 (성균관 대학교 전기공학과) ;
  • 류홍제 (성균관 대학교 전기공학과) ;
  • 원충연 (성균관 대학교 전기공학과)
  • Published : 1995.07.20
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Abstract

The Fuzzy-Neural Controller is constructed to resolve some dificulties taking place in decision of membership functions, input and output gains and an inferenced method for desinging fuzzy logic controller. In addition Neural network emulator is used to emulate induction motor forward dynamics and to get error signal at fuzzy-neural controller output layer. Error signal is backpropagated through neural network emulator. A back propagation algorithm is used to train fuzzy-neural controller and emulator. The experimental results show that this control system can provide good dynamical responses.

Keywords