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A Torque Impulse Balance Control for Multi-Tooth Fault Tolerant Switched-Flux Machines under Open-Circuit Fault

Author

Listed:
  • Yu Wang

    (Department of Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211116, China)

  • Wenjuan Hao

    (Department of Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211116, China
    College of Jincheng, Nanjing University of Aeronautics and Astronautics, Nanjing 211156, China)

Abstract

The multi-tooth fault tolerant switched-flux machines (MTFTSFM) providing both excellent fault tolerant capability and relatively high torque density are good choices for high reliability applications. A rapid control of the electromagnetic torque under open-circuit fault can always be achieved by the direct torque control with voltage vector reconstruction (RDTC); however, with respect to the rotor speed, its dynamic performance is still impacted by the proportion-integration (PI) parameters. Therefore, a torque impulse balance control (TIBC) is investigated in this paper for the MTFTSFM under open-circuit fault to obtain excellent dynamic performance of the rotor speed. During the dynamic state, the electromagnetic torque and the speed can converge at the same time after only one adjustment of the speed by using the optimized voltage vector sequence based on torque impulse balance, thus, achieving the best possible dynamic process for the speed. The TIBC method is carried out on an MTFTSPM machine system, and the correctness and effectiveness are verified.

Suggested Citation

  • Yu Wang & Wenjuan Hao, 2018. "A Torque Impulse Balance Control for Multi-Tooth Fault Tolerant Switched-Flux Machines under Open-Circuit Fault," Energies, MDPI, vol. 11(7), pages 1-21, July.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1919-:d:159545
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    Citations

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    Cited by:

    1. Hui Cai & Hui Wang & Mengqiu Li & Shiqi Shen & Yaojing Feng & Jian Zheng, 2018. "Torque Ripple Reduction for Switched Reluctance Motor with Optimized PWM Control Strategy," Energies, MDPI, vol. 11(11), pages 1-27, November.
    2. Wenjuan Hao & Gong Zhang & Wenbo Liu & Hui Liu & Yu Wang, 2022. "Methods for Reducing Cogging Force in Permanent Magnet Machines: A Review," Energies, MDPI, vol. 16(1), pages 1-27, December.

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