计及电感参数变化的PMSM模型预测电流控制

Model Predictive Current Control of PMSM Considering Inductance Parameter Variation

针对基于单矢量占空比调节的永磁同步电机(PMSM)模型预测控制(MPC)中存在电流、转矩脉动大的问题,当电感参数变化时会造成计算基本电压矢量作用时间产生偏差,影响预测控制的性能。为此,提出一种基于电感参数校正的PMSM模型预测电流控制方法。该方法利用一个控制周期内的两个基本电压矢量合成幅值、相位均可调的电压矢量,通过在线计算电感参数,更新预测模型,得到更准确的基本电压矢量作用时间。仿真和实验结果表明,该方法能有效降低定子电流脉动,增强系统对电感参数变化的鲁棒性。

For the model predictive control(MPC)of permanent magnet synchronous motor(PMSM)based on single vector duty cycle adjustment,there are some problems such as large current and torque ripple.When the inductance parameter changes,it will lead to the deviation of calculating the action time of basic voltage vector and affect the performance of predictive control.Therefore,a model predictive current control method for PMSM based on inductance parameter correction is proposed.In this method,two basic voltage vectors in one control cycle are used to synthesize a voltage vector whose amplitude and phase can be adjusted.The prediction model is updated by calculating the inductance parameters online to obtain the more accurate action times of the basic voltage vectors.The simulation and experimental results show that the method can effectively reduce the stator current ripple and enhance the robustness of the system against inductance changes.