基于增量模型的PMSM鲁棒性模型预测控制算法研究

Research on Robust Model Predictive Control Method of PMSM Based on Incremental Model

永磁同步电机模型预测电流控制(MPCC)策略因具有良好的动态性能而得到了广泛应用,但该策略较为依赖模型参数的准确性。为了在保持控制系统的动态性能的同时提高系统的参数鲁棒性,提出了一种基于三矢量的增量型MPCC策略。在MPCC中引入基于d轴电流的模型参考自适应电感辨识算法,并对自适应律进行了分析。基于Matlab/Simulink进行了仿真,结果表明所提策略能够实现在保持三矢量预测控制动态性能的前提下,减小磁链参数失配造成的预测误差;基于d轴电流的模型参考自适应算法可以进行快速稳定地电感参数辨识,有效地提高了控制系统的参数鲁棒性。

The model predictive current control(MPCC)strategy for permanent magnet synchronous motor has been widely used because of its good dynamic performance,but the strategy is more dependent on the accuracy of model parameters.In order to improve the parameter robustness of the system while maintaining the dynamic performance of the control system,a three-vector based incremental MPCC strategy is proposed.A model reference adaptive inductance identification algorithm based on d-axis current is introduced in MPCC,and the adaptive law is analyzed.Simulations based on Matlab/Simulink are carried out,the results show that the proposed strategy can achieve the reduction of the prediction error caused by the mismatch of flux linkage parameters while maintaining the dynamic performance of the three-vector predictive control.In addition,the model reference adaptive algorithm based on d-axis current can perform fast and stable inductor parameter identification,which effectively improves the parameter robustness of the control system.