An Impedance Model-Based Multiparameter Identification Method of PMSM for Both Offline and Online Conditions
An Impedance Model-Based Multiparameter Identification Method of PMSM for Both Offline and Online Conditions
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DOI：
10.1109/tpel.2020.3000896
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发表时间：
2021-01
影响因子：
6.7
通讯作者：
Qiwei Wang;Gaolin Wang;Nannan Zhao;Guoqiang Zhang;Q. Cui;Dianguo Xu
中科院分区：
文献类型：
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作者：
Qiwei Wang;Gaolin Wang;Nannan Zhao;Guoqiang Zhang;Q. Cui;Dianguo Xu
现有的电机参数在线辨识方法大多依赖于基频电压方程，导致小电流、低速运行时辨识效果不理想。本文提出了一种基于在两个 dq 轴注入高频信号的永磁同步电机高频（HF）等效阻抗模型的参数辨识方法。该方法可离线和在线识别电阻和 dq 轴电感，以及在线磁链。为了提高识别精度，提出了基于参数灵敏度分析的电阻和磁链检测算法。同时，逆变器非线性和高频对参数辨识的影响得到了有效补偿。为了不影响电机驱动器的正常工作，对注入信号的幅值和频率的选择进行了研究。所提出的方法在 2.2 kW 电机上进行了验证，并通过有限元分析得到证实。实验结果表明在不同运行条件下均具有良好的识别效果。
Existing online motor parameter identification methods mostly depend on the fundamental frequency voltage equations, which lead to the unsatisfactory identification effect at low current and low speed operation. This article proposes a parameter identification method based on the high frequency (HF) equivalent impedance model of permanent magnet synchronous motor with HF signal injection at both the dq-axes. This method identifies the resistance and the dq-axis inductances offline and online, along with the flux linkage online. In order to improve the identification accuracy, the parameter sensitivity analysis-based algorithm is proposed to detect the resistance and the flux linkage. Meanwhile, the inverter nonlinearities and the HF influence on parameter identification are compensated effectively. In order not to affect the normal operation of the motor drive, the selection of the amplitude, and the frequency of the injected signal is investigated. The proposed method is validated on a 2.2-kW motor and confirmed by finite element analysis. The experimental results show the good identification effect in different operation conditions.