Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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A Study on the Neural Adaptive Observer for I.M. Drives

유도전동기 구동을 위한 신경망 적응 관측기에 대한 연구

  • Jeon, Hi-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) ;
  • Jeong, Eull-Gi (Soong Sil University, Dept. of Electrical Engineering) ;
  • Kim, Jin-Sang (Soong Sil University, Dept. of Electrical Engineering)
  • 전희종 (숭실대학교 전기공학과) ;
  • 김병진 (숭실대학교 전기공학과) ;
  • 손진근 (숭실대학교 전기공학과) ;
  • 정을기 (숭실대학교 전기공학과) ;
  • 김진상 (숭실대학교 전기공학과)
  • Published : 1995.07.20
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Abstract

In this article a neural network adaptive observer is proposed and applied to the case of induction motor control. The high performance vector control drives require exact knowledge of rotor flux. Because rotor time constant is needed to observe rotor flux, the accurate estimation of rotor time constant is important. For these problems, proposed observer which comprises neural network flux observer and neural network torque observer is trained to learn the flux dynamics and torque dynamics and subject to further on-line training by means of a backpropagation algorithem. Therefore it has been shown that the robust control of induction motor neglects the rotor time constant variations.

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