基于增量模型的永磁同步直线电机鲁棒预测电流控制

为了解决永磁同步直线电机预测电流控制对电机参数的依赖,提出一种鲁棒增量式预测电流控制算法。通过建立永磁同步直线电机增量式预测模型来克服电机磁链变化的影响,并详细分析了增量预测模型对电机参数敏感性。为提高电流带宽,对增量式预测电流控制进行一拍延时补偿。针对电感不匹配引起的电流预测误差,提出一种新型滑模观测器来观测电压扰动值并将扰动前馈补偿,从而实现精准电流控制。实验结果表明所提方案可有效地提高系统鲁棒性,具有较好的效果。

Robust predictive current control for a permanent magnet synchronous linear motor based on an incremental model

A robust incremental predictive current control algorithm is proposed to solve the dependence on motor parameters of the predicted current control for the permanent magnet synchronous linear motor. An incremental prediction model of the PMSLM is established to overcome the influence of the motor flux linkage variation, and the sensitivity of the incremental prediction model to the motor parameters is analyzed in detail. In order to improve the current bandwidth, one-shot delay compensation is performed for the incremental predictive current control. Considering the prediction error caused by the inductance mismatch, a new sliding mode observer is proposed to observe the voltage disturbance value. It is used as feedforward compensation, which can achieve precise current control. The experimental result shows that the proposed algorithm can effectively improve the robustness of the system and has a good effect. This work is supported by National Natural Science Foundation of China (No. 61573167) and the Fundamental Research Funds for the Central Universities (No. JUSRP51510).