永磁同步电机电流预测控制电流静差消除算法

A Static Current Error Elimination Algorithm for PMSM Predictive Current Control

永磁同步电机电流环控制性能是决定驱动系统性能的核心因素。电流预测控制能够使永磁同步电机电流控制获得良好的动态响应,但是控制器电机模型参数与实际电机参数不一致会引起电流静差,导致系统效率降低,无法输出额定转矩,以及无法工作在力矩控制模式等问题。该文根据永磁同步电机预测控制模型,详细分析了控制器电机模型参数误差对电流控制的影响,并提出了一种静差消除算法。这种方法主要适用于控制器中电机模型电感及磁链参数不准的情况,通过在d轴电流控制中加入误差积分作用,并根据q轴电流的响应,动态调整控制器电机模型磁链参数,消除了控制器电机模型参数不准引起的静差。通过仿真分析和在3.3 k W永磁同步电机驱动平台上的实验,验证了该算法的有效性。

The current control performance of permanent magnet synchronous motor （PMSM） is the key factor that determines the performance of electrical drive system. Predictive current control can improve the dynamic response of PMSM current control. However, the parameter mismatch in the controller machine model can lead to static current error, which will cause problems such as lowering system’s efficiency, failing to output nominal torque, not being able to operate in the torque control mode, and so on. This paper presented an algorithm to eliminate the static error of PMSM predictive current control when the model in controller had parameter mismatches with the real machine. The algorithm mainly applies to cases where the controller machine model inductance and flux are not accurate. The static error is eliminated by introducing error integration ind axis current control and by dynamically adjusting the flux in the machine model according to theq axis current error. The algorithm is verified through simulations and experiments on a 3.3kW PMSM drive platform.