Model Predictive Switching Control for PMSM Drives

A model predictive switching control for surface-mounted permanent magnet synchronous motor (SPMSM) is proposed in this article to improve the steady-state control performance and the dynamic control performance simultaneously. First, a motor operating condition judgment method based on
$q$
-axis current slope is presented to distinguish between steady-state and dynamic state. Then, when the motor is in a dynamic state, a dynamic control strategy is designed to achieve a fast current track; when the motor is in steady-state, a steady-state control strategy called four-segment-mode MPC is designed to achieve better current control. Finally, compared with the three-vector MPC method, it is proven by experiments that this method can obtain better steady-state performance and lower switching frequency. Meanwhile, the proposed method has better current dynamic performance.