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

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      Author
      Foo, Gilbert Hock Beng.
      Zhang, Xinan.
      Vilathgamuwa, D. Mahinda.
      Date of Issue
      2013
      School
      School of Electrical and Electronic Engineering
      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.
      Subject
      DRNTU::Engineering::Electrical and electronic engineering
      Type
      Journal Article
      Series/Journal Title
      IEEE transactions on industrial electronics
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      • EEE Journal Articles
      http://dx.doi.org/10.1109/TIE.2013.2244537
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