基于模型预测的PMSM速度环PI自整定控制

与传统的矢量控制相比，有限集模型预测控制（FCS-MPC）通过算法直接得到驱动信号，省略了脉宽调制环节，且响应性能也比较优越。利用改进型FCS-MPC算法，构建只含有转速环的控制系统传递函数，针对负载变化和参数扰动的工况，分别利用传递函数的频率特性分析法和典型系统整定法设计基于速度环的PI自整定方案。经过仿真对比验证，发现在该控制方法下因负载转矩和参数变化引起转速变化的波动更小且恢复时间更短，证明了该方法的可行性和有效性。

PI Self-Tuning Control of PMSM Speed Loop Based on Model Prediction

Compared with the traditional vector control, the drive signal is directly obtained by the finite control set model predictive control (FCS-MPC) through the algorithm. The method omits the pulse width modulation link, and has superior response performance. The transfer function of the control system only containing the speed loop is constructed by the improved FCS-MPC algorithm. In the load changes and parameter disturbance conditions, the frequency characteristic analysis method of the transfer function and the typical system tuning method are used to design the PI self-tuning control system based on the speed loop. Simulation comparison and verification show that the proposed method has smaller fluctuation of the speed change caused by the load torque and parameter changes and recovers faster than the traditional control. The results verify the feasibility and effectiveness of the method.