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Non-invasive inductance identification method for virtual voltage vector orientation of permanent magnet synchronous motor
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Yangwei ZHOU1, 2, Ziling NIE2, 3, Li PENG1, Xudong ZOU1, Jun SUN2, Huayu LI2, 3, *
Journal of National Niversity of Defense Technology | 2025, 47(6) : 81 - 90
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Journal of National Niversity of Defense Technology | 2025, 47(6): 81-90
• State Monitoring Technology for Electric Machine System •
Non-invasive inductance identification method for virtual voltage vector orientation of permanent magnet synchronous motor
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Yangwei ZHOU1, 2, Ziling NIE2, 3, Li PENG1, Xudong ZOU1, Jun SUN2, Huayu LI2, 3, *
Affiliations
  • 1.State Key Laboratory of Advanced Electromagnetic Technology, Huazhong University of Science and Technology, Wuhan 430074, China
  • 2.National Key Laboratory of Electromagnetic Energy, Naval University of Engineering, Wuhan 430033, China
  • 3.East Lake Laboratory of Hubei Province, Wuhan430205, China
Published: 2025-12-28 doi: 10.11887/j.issn.1001-2486.24100001
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To achieve accurate and stable online identification of inductance parameters for PMSM(permanent magnet synchronous motor), an online inductance observation method based on virtual voltage vector excitation and current differential response was proposed, which required no additional test signal injection and was decoupled from rotor position, stator resistance, and permanent magnet flux linkage.By introducing the concept of a virtual voltage vector-oriented coordinate system, it was analytically derived and proven that the d-and q-axis inductances of a PMSM can be observed independently of the angular position in the conventional d-q synchronous reference frame.Building on this, the implementation procedure for extracting virtual voltage vectors and current differential information was discussed in detail, enabling non-intrusive inductance identification without any signal injection.The effectiveness and accuracy of the proposed method were validated by comparison with offline test procedures in IEEE standards.

permanent magnet synchronous motor  /  virtual voltage vector  /  parameter estimation  /  inductance identification
Yangwei ZHOU, Ziling NIE, Li PENG, Xudong ZOU, Jun SUN, Huayu LI. Non-invasive inductance identification method for virtual voltage vector orientation of permanent magnet synchronous motor[J]. Journal of National Niversity of Defense Technology, 2025 , 47 (6) : 81 -90 . DOI: 10.11887/j.issn.1001-2486.24100001
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Article Info
doi: 10.11887/j.issn.1001-2486.24100001
  • Receive Date：2024-10-07
  • Online Date：2026-04-16
  • Published：2025-12-28
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  • Received：2024-10-07
Affiliations
    1.State Key Laboratory of Advanced Electromagnetic Technology, Huazhong University of Science and Technology, Wuhan 430074, China
    2.National Key Laboratory of Electromagnetic Energy, Naval University of Engineering, Wuhan 430033, China
    3.East Lake Laboratory of Hubei Province, Wuhan430205, China
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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