The Transactions of the Korean Institute of Electrical Engineers D (대한전기학회논문지:시스템및제어부문D)

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지

Estimation and Control of Speed of Induction Motor using Fuzzy-ANN Controller

퍼지-ANN 제어기를 이용한 유도전동기의 속도 추정 및 제어

  • 이홍균 (순천대 공대 정보통신공학부) ;
  • 이정철 (순천대 공대 정보통신공학) ;
  • 김종관 (순천대 공대 정보통신공학) ;
  • 정동화 (순천대 공대 정보통신공학부)
  • Published : 2004.08.01
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Abstract

This paper is proposed a fuzzy neural network controller based on the vector controlled induction motor drive system. The hybrid combination of fuzzy control and neural network will produce a powerful representation flexibility and numerical processing capability. Also, this paper is proposed estimation and control of speed of induction motor using ANN Controller. The back propagation neural network technique is used to provide a real time adaptive estimation of the motor speed. The error between the desired state variable and the actual one is back-propagated to adjust the rotor speed, so that the actual state variable will coincide with the desired one. The back propagation mechanism is easy to derive and the estimated speed tracks precisely the actual motor speed. This paper is proposed the theoretical analysis as well as the simulation results to verify the effectiveness of the new method.

Keywords

References

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