永磁同步电机鲁棒模型预测控制技术综述

Review of robust model predictive control technology for permanent magnet synchronous motors

相比传统控制技术,永磁同步电机模型预测控制可以得到更好的控制效果。但电机在实际应用过程中难免存在外部干扰、内部参数变化等问题,造成电机模型预测控制预测模型不精确,进而导致电机控制性能恶化。近年来,围绕电机模型预测控制鲁棒性的研究众多,但大都较为分散。该文先分析永磁同步电机的不确定性因素对模型预测控制的影响,然后从预测模型改进、干扰估计补偿、在线参数估计三方面来分析与讨论鲁棒模型预测控制技术。

Compared with traditional control technology,PMSM model predictive control can get better control effect.However,in the actual working process of the motor,there are external interference,internal parameter changes and other problems,resulting in the motor model prediction control prediction model is not accurate,and then lead to the deterioration of the motor control performance.In recent years,there are many researches on the robustness of predictive control of motor models,but most of them are scattered.This paper firstly analyzes the influence of the uncertainty factors on the model predictive control of PMSM.Then the predictive control technology of robust model is analyzed and discussed from three aspects:prediction model improvement,disturbance estimation compensation and online parameter estimation.