Three-Vector Model Predictive Current Control Strategy for Permanent Magnet Synchronous Motor Drives with Parameter Error Compensation
Qin Yanzhong1, Yan Yan1, Chen Wei1, Geng Qiang2
1. School of Electrical and Information Engineering Tianjin University Tianjin 300072 China; 2. Tianjin Engineering Center of Electric Machine System Design and Control Tianjin Polytechnic University Tianjin 300387 China
Abstract：The operating performance of permanent magnet synchronous motor current control strategy depends heavily on the motor parameters. The parameters of the permanent magnet synchronous motor will change due to the factors such as temperature rise and magnetic saturation. If the predictive current control is performed with the mismatched motor parameters, the current prediction value will be inaccurate and the optimal vector will be misjudged, resulting in the degradation of system control performance. In this paper, the performance degradation of the control strategy caused by the change of motor parameters is studied. The error models of delay compensation, current prediction, and vector dwell time are established respectively. The source and the transmission relationship of each link error are analyzed. On this basis, the three-vector model predictive current control strategy for permanent magnet synchronous motor drives with parameter error compensation is proposed. Taking a 6kW permanent magnet synchronous motor as the control object, the experimental results verify the feasibility and effectiveness of the proposed strategy.
秦艳忠, 阎彦, 陈炜, 耿强. 永磁同步电机参数误差补偿-三矢量模型预测电流控制[J]. 电工技术学报, 2020, 35(2): 255-265.
Qin Yanzhong, Yan Yan, Chen Wei, Geng Qiang. Three-Vector Model Predictive Current Control Strategy for Permanent Magnet Synchronous Motor Drives with Parameter Error Compensation. Transactions of China Electrotechnical Society, 2020, 35(2): 255-265.
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2020, Vol. 35 
