대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

퍼지-신경망을 이용한 강인한 유도전동기 벡터제어

The Robut Vector Control for I.M. using Fuzzy-Neural Network

  • 전희종 (숭실대학교 전기공학과) ;
  • 김병진 (숭실대학교 전기공학과) ;
  • 손진근 (숭실대학교 전기공학과) ;
  • 문학룡 (숭실대학교 전기공학과) ;
  • 김수곤 (숭실대학교 전기공학과)
  • Jeon, Hee-Jong (Soong Sil University, Dept. of Electrical Engineering) ;
  • Kim, Beung-Jin (Soong Sil University, Dept. of Electrical Engineering) ;
  • Son, Jin-Geun (Soong Sil University, Dept. of Electrical Engineering) ;
  • Moon, Hark-Yong (Soong Sil University, Dept. of Electrical Engineering) ;
  • Kim, Soo-Gon (Soong Sil University, Dept. of Electrical Engineering)
  • 발행 : 1995.11.18
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초록

In this article a fuzzy controller and neural network adaptive observer is proposed and applied to the case of induction motor control. The proposed observer which comprises neural network flux observer and neural network torque observer is trained to learn the flux dynamics and torque dynamics and subjected to further on-line training by means of a backpropagation algorithm. Therefore it has been shown that the robust control of induction motor neglects the rotor time constant variations.

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