基于ESO的PMSLM无差拍电流预测控制

基于无差拍电流预测控制的永磁同步直线电机(PMSLM)驱动系统,具有动态性能好、稳态精度高等优点。但是该方法对电机模型参数的准确性依赖较大,实际应用中实际参数与标称参数会有偏差,该偏差带来的参数扰动问题将影响电流控制质量。为此设计了一种改进的扩张状态观测器(ESO),引入扰动量误差作为观测值控制量,加快观测器收敛速度,并利用变增益方式减小了高增益观测器峰值过大的问题,最终将该ESO用于观测参数扰动,实现对参数扰动的实时补偿。实验结果表明:所提出的无差拍预测算法抑制了初始时刻电流峰值,实现了对电流的快速准确跟踪,对参数扰动具有较强的鲁棒性。

Deadbeat Predictive Current Control of PMSLM Based on ESO

The drive system of permanent magnet synchronous linear motor(PMSLM)based on deadbeat current predictive control has the advantages of good dynamic performance and high steady-state accuracy.However,this method depends on the accuracy of motor model parameters.In practical application,the actual parameters will deviate from the nominal parameters.The disturbance caused by the deviation will affect the quality of the current loop.In this paper,an improved extended state observer(ESO)was designed.The disturbance error was introduced as the observer control variable to accelerate the convergence speed of the observer.the variable gain method was used to reduce the problem of excessive peak value of the high gain observer.Finally,the ESO was applied to the observer parameter disturbance to realize the real-time compensation of the parameter disturbance.The experimental results show that the proposed deadbeat prediction algorithm reduces the peak value of current at the initial time,achieves fast and accurate tracking of current,and has strong robustness to parameter disturbances.