Robustness Optimization of Model Predictive Current Control for PMSM Drives Considering Dynamic Response Influence

Abstract

In order to enhance the parameter robustness of model predictive current control (MPCC) for permanent-magnet synchronous motor (PMSM) drive, a novel robust MPCC considering dynamic response influence is proposed in this article. First, the parameter sensitivity effects on dynamic control capability of MPCC are analyzed theoretically. Second, the data acquisition methods of inductance and flux-linkage based on current errors are presented, respectively. Furthermore, the accurate parameters can be calculated by the proposed data acquisition methods and compensated into the predictive model in real time. Finally, an experimental platform is built to verify the effectiveness of the proposed method and the experimental results illustrate that the proposed method can effectively erase the destructive effect of parameter mismatches and enhance the robustness of the system ultimately.