一种改进的永磁同步电机模型预测控制

Improved model predictive control of permanent magnet synchronous motor

利用传统的模型预测控制算法确定下一时刻所要应用的开关状态时,需遍历变换器的全部开关状态,计算量较大,不利于在线应用。对此,提出了一种改进的永磁同步电机模型预测控制算法,通过求出期望的电压矢量角,确定电压矢量所在扇区,进而减少算法对开关状态的选择数量,使算法的计算量得到显著降低。实验结果说明,采用所提改进模型预测控制算法,系统具有较好的电流动态特性和较小的纹波电流。

All switching statuses of converter should be traversed over when traditional MPC （Model Predictive Control） algorithm is applied to determine the switching status of next cycle,which is unfavorable to the real-time implementation due to its higher computational load. An improved MPC algorithm of PMSM （Permanent Magnet Synchronous Motor） is proposed,which determines the sector of voltage vector based on the expected voltage vector angle to reduce the selected switching statuses for cutting down the computational load. Experimental results show that,the system with the proposed MPC algorithm has better current response and smaller current ripple.