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Performance of the Stator Winding Fault Diagnosis in Sensorless Induction Motor Drive

Author

Listed:
  • Grzegorz Tarchała

    (Department of Electrical Drives and Measurements, Wrocław University of Science and Technology, 50-370 Wrocław, Poland)

  • Marcin Wolkiewicz

    (Department of Electrical Drives and Measurements, Wrocław University of Science and Technology, 50-370 Wrocław, Poland)

Abstract

This paper deals with the diagnosis of stator winding inter-turn faults for an induction motor drive operating without a speed sensor in a speed-sensorless mode. The rotor direct field oriented control structure (DFOC) was applied, its reference current and voltage component values were analyzed, and their selected harmonics were applied as effective fault indicators. To ensure robust speed estimation, a sliding mode model reference adaptive system (SM-MRAS) estimator was selected. The influence of load torque, reference speed, proportional-integral (PI) controller parameters, and short-circuit current on fault diagnosis and speed estimation performance was verified. Experimental test results obtained for a 3 kW induction motor drive are included.

Suggested Citation

  • Grzegorz Tarchała & Marcin Wolkiewicz, 2019. "Performance of the Stator Winding Fault Diagnosis in Sensorless Induction Motor Drive," Energies, MDPI, vol. 12(8), pages 1-20, April.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:8:p:1507-:d:224752
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    References listed on IDEAS

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    1. 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.
    2. Luqman Maraaba & Zakariya Al-Hamouz & Mohammad Abido, 2018. "An Efficient Stator Inter-Turn Fault Diagnosis Tool for Induction Motors," Energies, MDPI, vol. 11(3), pages 1-18, March.
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    Cited by:

    1. Przemyslaw Pietrzak & Marcin Wolkiewicz, 2021. "Comparison of Selected Methods for the Stator Winding Condition Monitoring of a PMSM Using the Stator Phase Currents," Energies, MDPI, vol. 14(6), pages 1-23, March.
    2. Minghui Wang & Yongxiang Xu & Jibin Zou, 2019. "Sliding-Mode-Observer-Based Open-Switch Diagnostic Method for Permanent Magnet Synchronous Motor Drive Connected with LC Filter," Energies, MDPI, vol. 12(17), pages 1-19, August.
    3. Zorig, Assam & Hedayati Kia, Shahin & Chouder, Aissa & Rabhi, Abdelhamid, 2022. "A comparative study for stator winding inter-turn short-circuit fault detection based on harmonic analysis of induction machine signatures," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 196(C), pages 273-288.
    4. Jordi Burriel-Valencia & Ruben Puche-Panadero & Javier Martinez-Roman & Angel Sapena-Baño & Martin Riera-Guasp & Manuel Pineda-Sánchez, 2019. "Multi-Band Frequency Window for Time-Frequency Fault Diagnosis of Induction Machines," Energies, MDPI, vol. 12(17), pages 1-18, August.
    5. Mateusz Dybkowski & Szymon Antoni Bednarz, 2019. "Modified Rotor Flux Estimators for Stator-Fault-Tolerant Vector Controlled Induction Motor Drives," Energies, MDPI, vol. 12(17), pages 1-21, August.

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