基于扰动观测器的PMSM鲁棒预测电流控制算法

PMSM Robust Predictive Current Control Algorithm Based on Disturbance Observer

针对电动助力转向系统中电机电流跟随性能差、易受电机参数变化干扰的问题,提出一种基于扰动观测器的鲁棒预测电流控制算法。该算法在无差拍控制的条件下引入龙伯格观测器预测电机电流,通过调整观测器增益提高系统的稳定性,对延时控制进行补偿;同时通过扰动观测器实时对系统扰动进行估计以提高电流的预测精度和控制精度。最后,仿真与实验结果表明:该算法在不降低预测电流控制的无差拍性能的前提下,能够提高系统的鲁棒性能、电流的稳态精度和动态性能。

A robust predictive current control algorithm based on disturbance observer was proposed to solve the problem that the motor current following performance was low and the motor parameters changed easily.In the algorithm,Dragon Berg observer based on deadbeat control was used to predict the motor current to improve the stability of the system by adjusting the gain of the observer,to compensate the delay control.At the same time,through real time disturbance observer,the disturbance was estimated to improve the prediction precision and control precision of the current.Finally,the simulation and experimental results show that the proposed algorithm can improve the robust performance,steady state accuracy and dynamic performance of the system without reducing the deadbeat performance of predictive current control.