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Analytical Modeling, Analysis and Diagnosis of External Rotor PMSM with Stator Winding Unbalance Fault

Author

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  • Ahmed Belkhadir

    (Univ. Artois, UR 4025, Laboratoire Systèmes Electrotechniques et Environnement (LSEE), F-62400 Béthune, France
    Univ. Cadi Ayyad, P.O. Box 549, Laboratoire des Systèmes Electriques, Efficacité Energétique et Télécommunications (LSEEET), Faculty of Sciences and Technologies, Marrakech 40000, Morocco)

  • Remus Pusca

    (Univ. Artois, UR 4025, Laboratoire Systèmes Electrotechniques et Environnement (LSEE), F-62400 Béthune, France)

  • Driss Belkhayat

    (Univ. Cadi Ayyad, P.O. Box 549, Laboratoire des Systèmes Electriques, Efficacité Energétique et Télécommunications (LSEEET), Faculty of Sciences and Technologies, Marrakech 40000, Morocco)

  • Raphaël Romary

    (Univ. Artois, UR 4025, Laboratoire Systèmes Electrotechniques et Environnement (LSEE), F-62400 Béthune, France)

  • Youssef Zidani

    (Univ. Cadi Ayyad, P.O. Box 549, Laboratoire des Systèmes Electriques, Efficacité Energétique et Télécommunications (LSEEET), Faculty of Sciences and Technologies, Marrakech 40000, Morocco)

Abstract

Multiple factors and consequences may lead to a stator winding fault in an external rotor permanent magnet synchronous motor that can unleash a complete system shutdown and impair performance and motor reliability. This type of fault causes disturbances in operation if it is not recognized and detected in time, since it might lead to catastrophic consequences. In particular, an external rotor permanent magnet synchronous motor has disadvantages in terms of fault tolerance. Consequently, the distribution of the air-gap flux density will no longer be uniform, producing fault harmonics. However, a crucial step of diagnosis and controlling the system condition is to develop an accurate model of the machine with a lack of turns in the stator winding. This paper presents an analytical model of the stator winding unbalance fault represented by lack of turns. Here, mathematical approaches are used by introducing a stator winding parameter for the analytical modeling of the faulty machine. This model can be employed to determine the various quantities of the machine under different fault levels, including the magnetomotive force, the flux density in the air-gap, the flux generated by the stator winding, the stator inductances, and the electromagnetic torque. On this basis, a corresponding link between the fault level and its signature is established. The feasibility and efficiency of the analytical approach are validated by finite element analysis and experimental implementation.

Suggested Citation

  • Ahmed Belkhadir & Remus Pusca & Driss Belkhayat & Raphaël Romary & Youssef Zidani, 2023. "Analytical Modeling, Analysis and Diagnosis of External Rotor PMSM with Stator Winding Unbalance Fault," Energies, MDPI, vol. 16(7), pages 1-23, April.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:7:p:3198-:d:1113918
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    References listed on IDEAS

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    1. Hamiti, Tahar & Lubin, Thierry & Baghli, Lotfi & Rezzoug, Abderrezak, 2010. "Modeling of a synchronous reluctance machine accounting for space harmonics in view of torque ripple minimization," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(2), pages 354-366.
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    3. Remus Pusca & Raphael Romary & Ezzeddine Touti & Petru Livinti & Ilie Nuca & Adrian Ceban, 2021. "Procedure for Detection of Stator Inter-Turn Short Circuit in AC Machines Measuring the External Magnetic Field," Energies, MDPI, vol. 14(4), pages 1-22, February.
    4. Andrzej Łebkowski, 2018. "Design, Analysis of the Location and Materials of Neodymium Magnets on the Torque and Power of In-Wheel External Rotor PMSM for Electric Vehicles," Energies, MDPI, vol. 11(9), pages 1-23, August.
    5. Karolina Kudelina & Bilal Asad & Toomas Vaimann & Anton Rassõlkin & Ants Kallaste & Huynh Van Khang, 2021. "Methods of Condition Monitoring and Fault Detection for Electrical Machines," Energies, MDPI, vol. 14(22), pages 1-20, November.
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    Cited by:

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    2. Moussa Boukhnifer & Larbi Djilali, 2024. "Modeling, Control and Diagnosis of Electrical Machines and Devices," Energies, MDPI, vol. 17(10), pages 1-4, May.

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