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Improved Current and MTPA Control Characteristics Using FEM-Based Inductance Maps for Vector-Controlled IPM Motor

Author

Listed:
  • Faiz Husnayain

    (Graduate School of Science and Technology, Shizuoka University, Hamamatsu 432-8561, Japan
    Department of Electrical Engineering, Universitas Indonesia, Depok 16424, Indonesia)

  • Toshihiko Noguchi

    (Graduate School of Science and Technology, Shizuoka University, Hamamatsu 432-8561, Japan)

  • Ryosuke Akaki

    (Graduate School of Integrated Science and Technology, Shizuoka University, Hamamatsu 432-8561, Japan)

  • Feri Yusivar

    (Department of Electrical Engineering, Universitas Indonesia, Depok 16424, Indonesia)

Abstract

Some major problems in the motor drive are the overshoot or undershoot of transient response characteristics and a parameter mismatch due to magnetic saturation. This study proposed a 3D inductance map combined with a maximum-torque-per-ampere (MTPA) map based on a finite-element (FE) motor model considering a cross-coupling magnetic saturation impact to overcome this problem. The proposed FE motor model has a high accuracy of no-load back electromotive force (e.m.f.) around 98.3% compared to the measurement results. Then, nine scenarios of vector control combinations of inductance maps and current supply variations of β 0°, 45°, and MTPA were investigated. As a result, the transient response improvement for β 0°, 45°, and MTPA without the map and with L d and L q maps is 63%, 10%, and 15%, respectively. Moreover, for the steady-state response, the average torque improvement between MTPA and I dref 0 A control is 9.21%, 8.97%, and 8.98% for the no-map, ave-map, and 3D-inductance-map conditions, respectively. The MTPA trajectory characteristic was also updated to illustrate the actual MTPA condition compared to the conventional MTPA control. In detail, the proposed method has reduced the parameter mismatch for the current control loop in the transient state and improved the MTPA control trajectory for the steady-state response. Finally, the improvement of vector control characteristics of the proposed method was verified by an FE simulation and experimental measurement results.

Suggested Citation

  • Faiz Husnayain & Toshihiko Noguchi & Ryosuke Akaki & Feri Yusivar, 2023. "Improved Current and MTPA Control Characteristics Using FEM-Based Inductance Maps for Vector-Controlled IPM Motor," Energies, MDPI, vol. 16(12), pages 1-22, June.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:12:p:4712-:d:1171089
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    References listed on IDEAS

    as
    1. Peixin Liang & Yulong Pei & Feng Chai & Kui Zhao, 2016. "Analytical Calculation of D - and Q -axis Inductance for Interior Permanent Magnet Motors Based on Winding Function Theory," Energies, MDPI, vol. 9(8), pages 1-11, July.
    2. Hai Guo & Qun Ding & Yifan Song & Haoran Tang & Likun Wang & Jingying Zhao, 2020. "Predicting Temperature of Permanent Magnet Synchronous Motor Based on Deep Neural Network," Energies, MDPI, vol. 13(18), pages 1-14, September.
    3. Vladimir Prakht & Mohamed N. Ibrahim & Vadim Kazakbaev, 2023. "Energy Efficiency Improvement of Electric Machines without Rare-Earth Magnets," Energies, MDPI, vol. 16(8), pages 1-3, April.
    4. Ning-Zhi Jin & Hong-Chao Chen & Dong-Yang Sun & Zhi-Qiang Wu & Kai Zhou & Long Zhang, 2022. "Virtual Signal Injection Maximum Torque per Ampere Control Based on Inductor Identification," Energies, MDPI, vol. 15(13), pages 1-21, July.
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