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Fault-Tolerant Control Strategy for 12-Phase Permanent Magnet Synchronous Motor

Author

Listed:
  • Hanying Gao

    (School of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin 150080, China)

  • Wen Zhang

    (School of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin 150080, China)

  • Yu Wang

    (School of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin 150080, China)

  • Zhuo Chen

    (School of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin 150080, China)

Abstract

Multi-phase motors have attracted increasing attention in fields seeking high reliability, such as electric vehicles, ships, and rail transit, as they exhibit advantages, such as high reliability and fault tolerance. In this study, we consider a 12-phase permanent magnet synchronous motor (PMSM). First, a mathematical model of the 12-phase PMSM in the static coordinate system is established and the model is simplified according to the constraint condition of neutral point isolation. Second, according to the principle of invariant magnetomotive force under normal and fault conditions, two optimal control strategies of winding current, i.e. maximum torque output (MTO) and minimum copper consumption (MCC), are proposed. For a single-phase open-circuit fault, two optimization methods are used to reconstruct the residual phase current, such that the motor can maintain normal torque output and exhibit lower torque ripple under the fault state. Finally, system simulation and experimental research are conducted; the results verify the accuracy and feasibility of the fault-tolerant control strategy of the 12-phase PMSM proposed in this paper.

Suggested Citation

  • Hanying Gao & Wen Zhang & Yu Wang & Zhuo Chen, 2019. "Fault-Tolerant Control Strategy for 12-Phase Permanent Magnet Synchronous Motor," Energies, MDPI, vol. 12(18), pages 1-17, September.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:18:p:3462-:d:265250
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    Citations

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    Cited by:

    1. Konrad Urbanski & Dariusz Janiszewski, 2021. "Position Estimation at Zero Speed for PMSMs Using Artificial Neural Networks," Energies, MDPI, vol. 14(23), pages 1-17, December.
    2. Yongda Li & Pingping Gong, 2023. "Fault-Tolerant Control of Induction Motor with Current Sensors Based on Dual-Torque Model," Energies, MDPI, vol. 16(8), pages 1-15, April.
    3. Jing Tang & Yongheng Yang & Jie Chen & Ruichang Qiu & Zhigang Liu, 2019. "Characteristics Analysis and Measurement of Inverter-Fed Induction Motors for Stator and Rotor Fault Detection," Energies, MDPI, vol. 13(1), pages 1-17, December.
    4. Dingyu Wang & Yiguang Chen, 2020. "Fault-Tolerant Control of Coil Inter-Turn Short-Circuit in Five-Phase Permanent Magnet Synchronous Motor," Energies, MDPI, vol. 13(21), pages 1-19, October.
    5. Jingde Xia & Shaozhuo Li & Shuping Gao & Wenquan Shao & Guobing Song & Changjiang Chen, 2021. "Research on Differential Protection of Generator Based on New Braking Mode," Energies, MDPI, vol. 14(7), pages 1-16, March.

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