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

Gilbert Hock Beng Foo, Xinan Zhang, D. M. Vilathgamuwa

Research output: Contribution to journalArticle

202 Citations (Scopus)

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.

Original languageEnglish
Article number6428675
Pages (from-to)3485-3495
Number of pages11
JournalIEEE Transactions on Industrial Electronics
Volume60
Issue number8
DOIs
Publication statusPublished - 1 Jan 2013
Externally publishedYes

Fingerprint Dive into the research topics of 'A sensor fault detection and isolation method in interior permanent-magnet synchronous motor drives based on an extended kalman filter'. Together they form a unique fingerprint.

  • Cite this