永磁同步电机参数误差补偿-三矢量模型预测电流控制

Three-Vector Model Predictive Current Control Strategy for Permanent Magnet Synchronous Motor Drives with Parameter Error Compensation

永磁同步电机模型预测电流控制策略的运行性能对电机参数有很强的依赖性。受温升、磁饱和等因素影响,永磁同步电机参数会发生变化。若以失配的电机参数进行预测电流控制,会引起电流预测值失准、最优矢量误判,导致系统控制性能下降的问题。对此,该文对电机参数变化引起控制策略性能下降问题进行研究,分别建立延时补偿、电流预测、矢量作用时间计算环节的误差模型,分析各环节误差的来源,以及各环节误差的传递关系。在此基础上,提出永磁同步电机参数误差补偿-三矢量模型预测电流控制策略。以一台6kW永磁同步电机作为控制对象进行实验研究,所得结果验证了该文所提策略的可行性和有效性。

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.