Improved Inductance Identification Method Based on High Frequency Signal Characteristics Acquisition for IPMSM Considering Voltage Phase Delay
For the inductance identification method of interior permanent magnet synchronous motor (IPMSM) based on high-frequency (HF) signal injection, the accuracy of HF response current and voltage information acquisition is the key to determine the inductance identification results. To improve the accuracy of inductance identification, this article proposes an inductance identification method based on the acquisition of HF response current and HF voltage characteristics. The method establishes an inductance identification matrix about HF voltage characteristics and HF current characteristics under the consideration of the effects of stator resistance and cross-coupling, and realizes the accurate acquisition of HF current characteristics by multi-multiple rotational coordinate transformation in the ABC coordinate system. The mechanism of digital control delay on the injected HF voltage and sampled HF current is also analyzed, and a digital control delay compensation strategy for the HF voltage is proposed. Then, according to the obtained HF response current characteristics and HF voltage characteristics, which are substituted into the established inductance identification matrix, the online identification of inductance is realized. Finally, the feasibility and superiority of the proposed method are verified by experiment.
Authors
- Yongpeng Shen (ORCID: https://orcid.org/0000-0002-4553-1679)
- Mingjie Wang (ORCID: https://orcid.org/0000-0002-6245-7538)
- Chunqi Geng
- Zhiwei Chen (ORCID: https://orcid.org/0000-0002-1634-1745)
- Xiaoliang Yang (ORCID: https://orcid.org/0000-0003-4579-322X)
Institutions
- Zhengzhou University of Light Industry (CN)
Publication Details
- Journal
- IEEE Transactions on Power Electronics
- Published
- 2025-04-16
- DOI
- https://doi.org/10.1109/tpel.2025.3561462
- Citations
- 1
- Primary Topic
- Non-Destructive Testing Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.71
Funders
- National Natural Science Foundation of China