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Design, Modeling, and Model-Free Control of Permanent Magnet-Assisted Synchronous Reluctance Motor for e-Vehicle Applications

Author

Listed:
  • Songklod Sriprang

    (Groupe de Recherche en Energie Electrique de Nancy (GREEN), Université de Lorraine, GREEN, F-54000 Nancy, France
    Renewable Energy Research Centre (RERC), Department of Teacher Training in Electrical Engineering, Faculty of Technical Education, King Mongkut’s University of Technology North Bangkok, 1518, Pracharat 1 Road, Bangsue, Bangkok 10800, Thailand)

  • Nitchamon Poonnoy

    (Renewable Energy Research Centre (RERC), Department of Teacher Training in Electrical Engineering, Faculty of Technical Education, King Mongkut’s University of Technology North Bangkok, 1518, Pracharat 1 Road, Bangsue, Bangkok 10800, Thailand)

  • Babak Nahid-Mobarakeh

    (Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada)

  • Noureddine Takorabet

    (Groupe de Recherche en Energie Electrique de Nancy (GREEN), Université de Lorraine, GREEN, F-54000 Nancy, France)

  • Nicu Bizon

    (Faculty of Electronics, Communications and Computers, University of Pitesti, Arges, 110040 Pitesti, Romania)

  • Pongsiri Mungporn

    (Thai-French Innovation Institute (TFII), King Mongkut’s University of Technology North Bangkok, 1518, Pracharat 1 Road, Bangsue, Bangkok 10800, Thailand)

  • Phatiphat Thounthong

    (Renewable Energy Research Centre (RERC), Department of Teacher Training in Electrical Engineering, Faculty of Technical Education, King Mongkut’s University of Technology North Bangkok, 1518, Pracharat 1 Road, Bangsue, Bangkok 10800, Thailand)

Abstract

This paper describes the model-free control approaches for permanent magnet-assisted (PMa) synchronous reluctance motors (SynRMs) drive. The important improvement of the proposed control technique is the ability to determine the behavior of the state-variable system during both fixed-point and transient operations. The mathematical models of PMa-SynRM were firstly written in a straightforward linear model form to show the known and unknown parts. Before, the proposed controller, named here the intelligent proportional-integral ( i PI), was applied as a control law to fix some unavoidable modeling errors and uncertainties of the motor. Lastly, a dSPACE control platform was used to realize the proposed control algorithm. A prototype 1-kW test bench based on a PMa-SynRM machine was designed and realized in the laboratory to test the studied control approach. The simulation using MATLAB/Simulink and experimental results revealed that the proposed control achieved excellent results under transient operating conditions for the motor drive’s cascaded control compared to traditional PI and model-based controls.

Suggested Citation

  • Songklod Sriprang & Nitchamon Poonnoy & Babak Nahid-Mobarakeh & Noureddine Takorabet & Nicu Bizon & Pongsiri Mungporn & Phatiphat Thounthong, 2022. "Design, Modeling, and Model-Free Control of Permanent Magnet-Assisted Synchronous Reluctance Motor for e-Vehicle Applications," Sustainability, MDPI, vol. 14(9), pages 1-21, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:5423-:d:806795
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    References listed on IDEAS

    as
    1. Songklod Sriprang & Nitchamon Poonnoy & Damien Guilbert & Babak Nahid-Mobarakeh & Noureddine Takorabet & Nicu Bizon & Phatiphat Thounthong, 2021. "Design, Modeling, and Differential Flatness Based Control of Permanent Magnet-Assisted Synchronous Reluctance Motor for e-Vehicle Applications," Sustainability, MDPI, vol. 13(17), pages 1-19, August.
    2. Zehao Lyu & Xiang Wu & Jie Gao & Guojun Tan, 2021. "An Improved Finite-Control-Set Model Predictive Current Control for IPMSM under Model Parameter Mismatches," Energies, MDPI, vol. 14(19), pages 1-13, October.
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