2022 IEEE 5th International Electrical and Energy Conference (CIEEC 2022)

The model predictive control (MPC) adopts the variable values obtained by sampling to predict the target variable value at the next moment and then selects the optimal voltage vector from the eight voltage vectors generated by the two-level inverter to act on the next control cycle in the motor. However, the control performance of the traditional MPC approach is deeply affected by the parameters of the prediction model. Aiming to improve the robustness of MPC, a robust MPC method is proposed in this paper. An inductance mismatch is the cause of d-axis current errors, so a discrete integral controller is designed to extract accurate inductance information. In this paper, the flux linkage calculation link is designed and the value of flux linkage is obtained. The simulation and experiment verify the effectiveness of the proposed method in the different working conditions.

Robust predictive control; SPMSM;MPCC