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Sensors Fault Diagnosis and Active Fault-Tolerant Control for PMSM Drive Systems Based on a Composite Sliding Mode Observer

Author

Listed:
  • Qinyue Zhu

    (Department of Electrical Engineering, Tongji University, Shanghai 201804, China)

  • Zhaoyang Li

    (Department of Electrical Engineering, Tongji University, Shanghai 201804, China)

  • Xitang Tan

    (Department of Electrical Engineering, Tongji University, Shanghai 201804, China)

  • Dabo Xie

    (Department of Electrical Engineering, Tongji University, Shanghai 201804, China)

  • Wei Dai

    (Department of Electrical Engineering, Tongji University, Shanghai 201804, China)

Abstract

Due to the use of multiple observers and controllers in multi-sensor fault-tolerant control of PMSM drive systems, the algorithm is complex and the system control performance is affected. In view of this, the paper studies multi-sensor fault diagnosis and active fault-tolerant control strategies based on a composite sliding mode observer. With the mathematical model of PMSM built, a design method of the composite sliding mode observer is proposed. A single observer is used to observe and estimate various state variables in the system in real time, which simplifies the implementation of observer-related algorithms. In order to improve the diagnostic accuracy of different types of sensors under different faults, a method for determining fault thresholds is proposed through global search for the maximum residual value. Based on this, a fault diagnosis and active fault-tolerant control strategy is proposed to realize fast switching and reconstruction of feedback signals of closed-loop control systems under different faults of multiple sensors, thus restoring the system performance. Finally, the effectiveness of the proposed algorithm and control strategy is verified by simulation experiments

Suggested Citation

  • Qinyue Zhu & Zhaoyang Li & Xitang Tan & Dabo Xie & Wei Dai, 2019. "Sensors Fault Diagnosis and Active Fault-Tolerant Control for PMSM Drive Systems Based on a Composite Sliding Mode Observer," Energies, MDPI, vol. 12(9), pages 1-20, May.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:9:p:1695-:d:228370
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    References listed on IDEAS

    as
    1. Hao Yan & Yongxiang Xu & Jibin Zou, 2016. "A Phase Current Reconstruction Approach for Three-Phase Permanent-Magnet Synchronous Motor Drive," Energies, MDPI, vol. 9(10), pages 1-16, October.
    2. Takwa Sellami & Hanen Berriri & Sana Jelassi & A Moumen Darcherif & M Faouzi Mimouni, 2017. "Short-Circuit Fault Tolerant Control of a Wind Turbine Driven Induction Generator Based on Sliding Mode Observers," Energies, MDPI, vol. 10(10), pages 1-21, October.
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    Cited by:

    1. Masoud Ahmadipour & Hashim Hizam & Mohammad Lutfi Othman & Mohd Amran Mohd Radzi & Nikta Chireh, 2019. "A Fast Fault Identification in a Grid-Connected Photovoltaic System Using Wavelet Multi-Resolution Singular Spectrum Entropy and Support Vector Machine," Energies, MDPI, vol. 12(13), pages 1-18, June.
    2. Ashkan Taherkhani & Farhad Bayat & Kaveh Hooshmandi & Andrzej Bartoszewicz, 2022. "Generalized Sliding Mode Observers for Simultaneous Fault Reconstruction in the Presence of Uncertainty and Disturbance," Energies, MDPI, vol. 15(4), pages 1-20, February.

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