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A Study on the Sensorless Speed Control of Induction Motor by New Direct Torque Control

새로운 직접토크제어에 의한 유도전동기의 센서리스 속도제어

  • 김종수 (한국해양대학교 기관시스템공학부) ;
  • 서동환 (한국해양대학교 전기전자공학부) ;
  • 김성환 (한국해양대학교 기관시스템공학부)
  • Received : 2011.08.02
  • Accepted : 2011.10.10
  • Published : 2011.11.30

Abstract

This paper presents an improved direct torque control based on artificial neural networks technique. The major problem that is usually associated with DTC drive is the high torque(speed) ripple. To overcome this problem a torque hysteresis band with variable amplitude is proposed based on artificial neural networks. The artificial neural networks proposed controller is shown to be able to reducing the torque(speed) ripple and dependency on motor parameter and to improve performance DTC especially at high speed and reversal running.

본 논문은 신경회로망 기법을 이용하여 직접벡터제어 방식의 문제점을 개선하고자 하였다. 직접벡터제어 방식은 히스테리시스 밴드 폭의 변화로 인해 유도전동기 속도제어 시 맥동이 큰 단점을 가지고 있다. 이러한 문제점을 학습을 통해 오차를 감소시키는 신경회로망 기법을 사용하여 기존의 직접벡터제어 방식에서 발생하던 속도 맥동을 개선하였다.

Keywords

References

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