Parameter Robustness Improvement of Predictive Current Control for Permanent-Magnet Synchronous Motors

A predictive current control with parameter robustness (PR-PCC) method of permanent magnet synchronous motor (PMSM) is proposed in this paper. First, a cost function is designed to calculate the increment of the optimal voltage vector at the current instant, which is based on incremental PMSM model. The incremental PMSM model is used to eliminate the influence of the motor flux parameter. Second, the optimal voltage vector that minimizes the cost function is obtained by combining the increment of optimal voltage vector with the idea of iteration. At the same time, a current observer based on the incremental model is designed to compensate the one-step sampling delay. In this way, the feedback current of dq-axis accurately followed the reference current. In comparison with the conventional pulse width modulation predictive current control (PWM-PCC) method, the proposed method can significantly reduce the steady-state error of dq-axis current caused by inductance, flux and resistance parameters mismatch quickly. Finally, experimental results of the proposed method and the conventional PWM-PCC are presented in this paper to verify the validity of the proposed method.