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Adaptive-Filter-Based Position Estimation Accuracy Improvement for Sensorless Control of SPMSM at Zero- and Low-Speed Regions

  • Peng Chen
  • , Ruiqing Ma
  • , Hao Bai
  • , Shoujun Song
  • , Zhe Chen
  • Northwestern Polytechnical University Xian

科研成果: 期刊稿件文章同行评审

6 引用 (Scopus)

摘要

In this article, dual second-order generalized integrator (DSOGI)-based rotating high-frequency voltage injection (RHFVI) method is proposed for sensorless control of surface-mounted permanent magnet synchronous motor (SPMSM) at zero- and low-speed regions. Compared with the conventional bandpass filter (BPF) and high-pass filter (HPF), DSOGIs are proposed to suppress the position estimation error due to the phase shift in the high-frequency (HF) demodulation process. The first SOGI serves as an adaptive BPF and it is used to separate the HF current and fundamental current in the stationary reference frame. Compared with the conventional BPF, the resonance frequency of the SOGI can be adaptively adjusted according to the rotor speed. Therefore, the phase shift of BPF is eliminated, especially with the increase in rotor speed. The second SOGI serves as a band stop filter (BSF) and it is used to extract the negative sequence component of HF current that contains the rotor position information. Finally, the conventional BPF and HPF are removed, and the accuracy of rotor position estimation is improved. The experimental data validate the effectiveness of the proposed method.

源语言英语
页(从-至)3529-3540
页数12
期刊IEEE Journal of Emerging and Selected Topics in Power Electronics
13
3
DOI
出版状态已出版 - 2025

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