The Transactions of the Korean Institute of Power Electronics (전력전자학회논문지)

The Korean Institute of Power Electronics (전력전자학회)
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Sensorless Control Strategy of IPMSM Based on a Parallel Reduced-Order Extended Kalman Filter

병렬형 저감 차수 칼만 필터를 이용한 매입형 영구자석 동기전동기의 센서리스 제어

  • 임동훈 (한양대 대학원 전기공학과) ;
  • 박병건 (한양대 대학원 전기공학과) ;
  • 김래영 (한양대 전기제어생체공학부) ;
  • 현동석 (한양대 전기제어생체공학부)
  • Received : 2011.02.07
  • Accepted : 2011.03.28
  • Published : 2011.06.20
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Abstract

This paper proposes a novel sensorless control scheme for a Permanent Magnet Synchronous Motor (PMSM) by using a parallel reduced-order Extended Kalman Filter. The proposed scheme can obtain rotor position and speed by back-EMF that is estimated by reduced-order EKF and save computation time greatly due to using a parallel structure that works by turns every sampling time. Therefore, proposed scheme has merits of conventional EKF, and problems of parameter sensitivity are partially overcome. And proposed scheme can safely estimate rotor speed and position by using new algorithms according to driving regions. Experimental results show the validity of the proposed estimation technique, and to verify the merit of the proposed scheme, a comparison of a new reduced-order EKF algorithm with a conventional EKF algorithm has been also made in terms of computation time.

본 논문에서는 매입형 영구자석 동기 전동기(IPMSM)의 확장형 역기전력(EEMF) 모델을 이용한 저감차수 병렬형 확장형 칼만 필터(EKF)를 이용한 센서리스 제어 기법을 제안한다. 제안된 센서리스 제어 기법은 간단한 수학적 구조로 매입형 영구자석 동기전동기 구동에 적합한 확장형 역기전력 모델을 이용하여 두 개의 저감 차수 형태로 표현하였다. 이러한 두 모델은 매 샘플링 시간마다 확장형 칼만 필터에 번갈아 연산된다. 행렬의 차수를 저감하여 EKF의 연산시간의 단축과 알고리즘 구현의 부담을 줄였으며 센서리스 제어의 안정적인 상태 벡터의 추정을 위해 병렬로 구동하는 두 모델에 의해 추정된 정보를 이용하였다. 제안된 기법은 실험 결과를 통하여 안정적인 위치 추정 및 속도 추정 성능을 검증 하였으며, 전 차수 EKF와의 연산 시간 비교를 통하여 우수성을 검증하였다.

Keywords

References

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