A sensor fault detection and isolation method in interior permanent-magnet synchronous motor drives based on an extended Kalman filter

Foo, Gilbert Hock Beng, Zhang, Xinan, & Vilathgamuwa, D. Mahinda (2013) A sensor fault detection and isolation method in interior permanent-magnet synchronous motor drives based on an extended Kalman filter. IEEE Transactions on Industrial Electronics, 60(8), pp. 3485-3495.

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Abstract

Interior permanent-magnet synchronous motors (IPMSMs) become attractive candidates in modern hybrid electric vehicles and industrial applications. Usually, to obtain good control performance, the electric drives of this kind of motor require one position, one dc link, and at least two current sensors. Failure of any of these sensors might lead to degraded system performance or even instability. As such, sensor fault resilient control becomes a very important issue in modern drive systems. This paper proposes a novel sensor fault detection and isolation algorithm based on an extended Kalman filter. It is robust to system random noise and efficient in real-time implementation. Moreover, the proposed algorithm is compact and can detect and isolate all the sensor faults for IPMSM drives. Thorough theoretical analysis is provided, and the effectiveness of the proposed approach is proven by extensive experimental results.

Impact and interest:

61 citations in Scopus
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46 citations in Web of Science®

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ID Code: 72266
Item Type: Journal Article
Refereed: Yes
Keywords: Current sensor phase identification, Extended Kalman filter (EKF), Interior permanent-magnet synchronous motor (IPMSM), Sensor fault detection, Sensor fault diagnosis, Sensor fault tolerant, Sensorless control, Stator current observer
DOI: 10.1109/TIE.2013.2244537
ISSN: 1557-9948
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2013 Institute of Electrical and Electronics Engineers
Deposited On: 01 Jun 2014 23:23
Last Modified: 03 Jun 2014 22:49

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