Predictive Current Error Compensation Based Strong Robust Model Predictive Control for PMSM Drive Systems

Inaccurate motor parameters can lead to deterioration of the control system performance of permanent magnet synchronous motor (PMSM). In order to mitigate the adverse control outcomes caused by inaccurate motor parameters and the impact of these parameters on model predictive current control, in this article, a predictive current error compensation-based strong robust model predictive control (PCEC-MPC) for PMSM drive systems is proposed. This method does not require accurate motor parameters. Instead, perturbation terms of inductance, resistance, and flux-linkage are designed to replace the motor parameters, and then the expression equations of the perturbation terms are obtained by constructing the predictive current error compensation controller. Besides, a balancing factor is introduced to equalize the impact of both current and perturbation terms on the predictive model. Finally, the feasibility of the proposed method is verified experimentally.