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Robust Decoupling Vector Control of Interior Permanent Magnet Synchronous Motor Used in Electric Vehicles with Reduced Parameter Mismatch Impacts

Author

Listed:
  • Shu Xiong

    (School of Physics and Electronics Electrical Engineering, Huaiyin Normal University, Huai’an 223309, China)

  • Jian Pan

    (School of Physics and Electronics Electrical Engineering, Huaiyin Normal University, Huai’an 223309, China)

  • Yucui Yang

    (School of Physics and Electronics Electrical Engineering, Huaiyin Normal University, Huai’an 223309, China)

Abstract

Interior permanent magnet synchronous motor (IPMSM) drives have been widely employed in sustainable transport such as electric vehicles (EV). However, the traditional vector control (VC) strategies cannot achieve optimal control due to the intrinsic property of the IPMSMs, which is strong coupling. To solve the issue, this paper proposes an improved decoupling VC strategy to improve the steady-state performance of the IPMSMs with reduced parameter mismatch impacts. First, a deviation decoupling strategy is developed, and meanwhile, the parameters that influence the decoupling method are clearly illustrated. This enriches the theory concerning decoupling control and lays the ground for the development of effective solutions to the parameter mismatch issue. Second, the Luenberger observer theory is discussed, based on which the reason why the Luenberger inductance observers are not widely employed is explained for the first time. Third, with the aid of intermediate variables, which are the disturbances caused by the mismatched inductances, a new inductance identification method based on the Luenberger observer is proposed. Finally, the simulation and experimental results prove that the proposed decoupling methods, as well as the parameter identification method, are effective.

Suggested Citation

  • Shu Xiong & Jian Pan & Yucui Yang, 2022. "Robust Decoupling Vector Control of Interior Permanent Magnet Synchronous Motor Used in Electric Vehicles with Reduced Parameter Mismatch Impacts," Sustainability, MDPI, vol. 14(19), pages 1-16, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:11910-:d:921167
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    References listed on IDEAS

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    1. Mingfei Huang & Yongting Deng & Hongwen Li & Meng Shao & Jing Liu, 2021. "Integrated Uncertainty/Disturbance Suppression Based on Improved Adaptive Sliding Mode Controller for PMSM Drives," Energies, MDPI, vol. 14(20), pages 1-19, October.
    2. Zhicheng Liu & Yang Zhao, 2019. "Robust Perturbation Observer-based Finite Control Set Model Predictive Current Control for SPMSM Considering Parameter Mismatch," Energies, MDPI, vol. 12(19), pages 1-18, September.
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    8. Ying Zhou & Zuyu Wu & Yutong Wu, 2021. "Intelligent Permanent Magnet Motor-Based Servo Drive System Used for Automated Tuning of Piano," Energies, MDPI, vol. 14(20), pages 1-23, October.
    9. Karol Kyslan & Viktor Petro & Peter Bober & Viktor Šlapák & František Ďurovský & Mateusz Dybkowski & Matúš Hric, 2022. "A Comparative Study and Optimization of Switching Functions for Sliding-Mode Observer in Sensorless Control of PMSM," Energies, MDPI, vol. 15(7), pages 1-17, April.
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