限制负载角的永磁同步电机序列模型预测控制

Sequential Model Predictive Control of Permanent Magnet Synchronous Motor with Load Angle Limitation

针对永磁同步电机模型预测控制中增加负载角限制函数可以避免电机失步但会导致模型预测控制权重系数调节更加繁琐的问题,提出了一种可限制负载角的永磁同步电机无权重系数模型预测控制。该方法基于字典法实现模型预测控制,对目标函数进行分层序列优化,实现无权重系数下的多目标优化。为验证该方法的有效性,进行了仿真和实验研究。结果表明,本方法可以实现负载角限制且动静态性能与传统方法一致,与传统方法相比,转矩与磁链的稳态误差相近,约为0.3N·m和0.005V·s,但省去了权重系数的调整,减少了计算负担。

Aimed at the issues that a load angle limit function being added in permanent magnet synchronous motor(PMSM)model for predictive control,though it can prevent motor slip,the angle limit function makes the adjustment of control weight coefficients complicated,a weight coefficient-free model predictive control is proposed for PMSM with load angle limitation.This method is used to implement the model predictive control based on a dictionary approach,conduct the hierarchical sequence optimization of the objective function,and achieve the multi-objective optimization without weight coefficients.In order to verify the effectiveness of this method,the simulation and the experimental studies are made.The results show that this method can achieve the load angle limitation,and the performance of dynamic and static performance is consistent with the traditional methods.Compared to the traditional methods,the steadystate errors of torque and flux are similar,approximately 0.3 N·m and 0.005 V·s.And the elimination of weight coefficient adjustment can be omitted,there is a decrease in computational burden.