A Lag Compensation-Enhanced Adaptive Quasi-Fading Kalman Filter for Sensorless Control of Synchronous Reluctance Motor

A novel position estimation strategy based on lag compensation-assisted adaptive quasi-fading Kalman filter (LC-AQFKF) is proposed for synchronous reluctance motor (SynRM) sensorless drive in this article. In LC-QFKF, the quasi-fading factor is derived to avoid the harsh assumptions of conventional...

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Bibliographic Details
Published in:IEEE transactions on power electronics 2022-12, Vol.37 (12), p.15322-15337
Main Authors: Gao, Fengtao, Yin, Zhonggang, Bai, Cong, Yuan, Dongsheng, Liu, Jing
Format: Article
Language:English
Subjects:
Adaptation models
Adaptive control
Adaptive fading Kalman filter (AFKF)
Back electromotive force
Compensation
Covariance matrix
dynamic position compensator
Electric motors
Electromotive forces
Estimation
Fading
Fading channels
Kalman filters
Low pass filters
Mathematical models
Observers
Phase lag
Reluctance
Reluctance motors
sensorless control
synchronous reluctance motor (SynRM)
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Summary:A novel position estimation strategy based on lag compensation-assisted adaptive quasi-fading Kalman filter (LC-AQFKF) is proposed for synchronous reluctance motor (SynRM) sensorless drive in this article. In LC-QFKF, the quasi-fading factor is derived to avoid the harsh assumptions of conventional adaptive fading Kalman filter, and accessibility of the method is improved while ensuring the estimation accuracy. The computational efficiency of LC-AQFKF is promoted by introducing the quasi-fading factor into the prediction error covariance matrix. Moreover, the frequency characteristic of AQFKF-based active back electromotive force observer is analyzed, and the phase lag problem in high-speed situations caused by the low-pass filtering property of AQFKF is overcome. In this way, the estimation accuracy of the rotor position is significantly enhanced. Besides, the double dynamic position compensation method is put forward to strengthen the position estimation performance of sensorless SynRM drive under dynamic conditions. The effectiveness of the proposed scheme is validated at a 1.5 kW SynRM drive.
ISSN:0885-8993
1941-0107
DOI:10.1109/TPEL.2022.3194519