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PMSM Sensorless Control using Parallel Reduced-Order Extended Kalman Filter  

Jang, Jin-Su (한양대 대학원 전기공학과)
Park, Byoung-Gun (한양대 대학원 전기공학과)
Kim, Tae-Sung (한양대 대학원 전기공학과)
Lee, Dong-Myung (홍익대 전자전기공학부)
Hyun, Dong-Seok (한양대 전기제어생체공학부)
Publication Information
The Transactions of the Korean Institute of Power Electronics / v.13, no.5, 2008 , pp. 336-343 More about this Journal
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-EKF that is estimated by reduced-order ETD and save computation time great)y 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.
Keywords
Permanent Magnet Synchronous Motor; Sensorless Control; Extended Kalman Filter;
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