由于永磁同步电机(PMSM)具有诸多优点,提出了一种基于最大转矩电流比(MTPA)控制的永磁同步电机模型预测控制方法,使磁阻转矩利用率最大化。利用离散化的数字处理技术,深入研究了多个优化目标的典型问题,其中包括:开关状态约束、MTPA优化、最大电流限制及延时补偿策略等。MATLAB/Simulink仿真数据证明:该控制系统实现了MTPA控制并且动态响应过程十分迅速,而且显著提升了PMSM模型预测控制系统的工作效率,对电机参数产生的波动显示出较强的鲁棒性。

Because of the many advantages of PMSM, a model predictive control method of PMSM based on maximum torque current ratio (MTPA) control to maximize the utilization of reluctance torque was presented. The typical problems of several optimization targets were studied in detail, including switch state constraints, MTPA optimization, maximum current limit and delay compensation strategy, using discrete digital processing techniques. The simulation results of MATLAB/Simulink showed that the control system achieved the maximum torquecurrent ratio control and the dynamic response process was very fast, and the working efficiency of the PMSM model predictive control system was improved remarkably, and the fluctuation of the motor parameter showed strong robustness.

TM 301.2