The Journal of the Korea institute of electronic communication sciences (한국전자통신학회논문지)

Korea Institute of Electronic Communication Science (한국전자통신학회)
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Extended Kalman Filter Design for Sensorless Control of IPMSM Drive

IPMSM의 센서리스 운전을 위한 확장 칼만 필터 설계

  • 전용호 (중원대학교 메카트로닉스학과) ;
  • 조민호 (중원대학교 컴퓨터시스템공학과)
  • Received : 2013.09.12
  • Accepted : 2013.11.15
  • Published : 2013.11.30
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Abstract

In this paper, a design of speed and position controller based on the EKF(Extended Kalman Filter) for sensorless control in IPMSM(Interior Permanent Magnet Synchronous Motor) is proposed. The proposed method subdivides the state estimation interval for improving the accuracy of state estimation. and each subdivided interval estimated first order term using Taylor series. The proposed state estimator comparison with the second-order extended Kalman filter reduced calculation amount of a priori estimation. And the simulation results were proved that The accuracy of priori estimation is increased.

본 논문은 IPMSM(Interior Permanent Magnet Synchronous Motor)의 센서리스 운전을 위해 확장 칼만 필터를 기반으로 하는 속도와 위치 추정기의 설계방법을 제안한다. 제안된 방법은 상태 추정의 정밀도를 향상시키기 위해서 시스템 모델의 상태추정구간을 더욱 세분화하여 나누고, 세분화한 각 구간을 테일러급수 전개하여 일차항만 사용하여 추정하였다. 제안된 상태 추정기는 2차 확장칼만필터에 비해 사전추정의 연산의 양을 크게 하지 않고, 상태추정의 정밀도가 증가함을 시뮬레이션을 통해 보일 수 있었다.

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