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Analysis of the Impact of Stator Inter-Turn Short Circuits on PMSM Drive with Scalar and Vector Control

Author

Listed:
  • Mateusz Krzysztofiak

    (Department of Electrical Machines, Drives and Measurements, Wroclaw University of Science and Technology, wyb. Wyspianskiego 27, 50-370 Wroclaw, Poland)

  • Maciej Skowron

    (Department of Electrical Machines, Drives and Measurements, Wroclaw University of Science and Technology, wyb. Wyspianskiego 27, 50-370 Wroclaw, Poland)

  • Teresa Orlowska-Kowalska

    (Department of Electrical Machines, Drives and Measurements, Wroclaw University of Science and Technology, wyb. Wyspianskiego 27, 50-370 Wroclaw, Poland)

Abstract

Permanent Magnet Synchronous Motor (PMSM) failures are currently widely discussed in the literature, but the impact of these failures on the operation of control systems and the ability to detect selected failures despite the compensating effect of control algorithms being relatively rarely analyzed. The article presents the impact of damage to the stator winding of a PMSM motor on the operation of two frequency control structures, scalar and vector control. The mathematical model of PMSM that takes into account the influence of a different number of shorted turns in the stator winding phase was presented, and its experimental verification was performed. Then, the influence of various degrees of damage to the stator winding on the waveforms of the motor state variables in an open scalar control structure and in a closed field-oriented control structure was analyzed. Based on the analysis of phase currents and rotational speed of the motor as well as the influence of the PMSM motor operating conditions, the basic techniques of extracting the symptoms of stator winding inter-turn short-circuits were analyzed, and the failure indicators were developed, which enable simple diagnostics of the stator winding.

Suggested Citation

  • Mateusz Krzysztofiak & Maciej Skowron & Teresa Orlowska-Kowalska, 2020. "Analysis of the Impact of Stator Inter-Turn Short Circuits on PMSM Drive with Scalar and Vector Control," Energies, MDPI, vol. 14(1), pages 1-20, December.
    • Handle: RePEc:gam:jeners:v:14:y:2020:i:1:p:153-:d:470562
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    References listed on IDEAS

    as
    1. Maciej Skowron & Teresa Orlowska-Kowalska & Marcin Wolkiewicz & Czeslaw T. Kowalski, 2020. "Convolutional Neural Network-Based Stator Current Data-Driven Incipient Stator Fault Diagnosis of Inverter-Fed Induction Motor," Energies, MDPI, vol. 13(6), pages 1-21, March.
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