Low-Complexity Model Predictive Control for Series-Winding PMSM with Extended Voltage Vectors

A low-complexity model predictive current control (MPCC) strategy based on extended voltage vectors is proposed to improve computational efficiency and steady-state performance for three-phase series-winding permanent magnet synchronous motors (TPSW-PMSM). This method delivers excellent steady-state performance while substantially reducing the computational burden compared to conventional MPCC. First, a simplified sector selection method is employed to preselect the sector in which the reference voltage vector resides. Next, the reference voltage vector is used to filter out redundant candidate voltage vectors, thereby reducing computation and ensuring real-time control capabilities. Basic active voltage vectors are segmented and recombined according to their magnitudes, without complex duty cycle calculations to further streamline processing. To mitigate the impact of zero-sequence current, zero-sequence current suppression is employed for effective compensation within the control system. This strategy’s combination of reduced computational complexity, reliable steady-state performance, and real-time control establishes it as an efficient solution for TPSW-PMSM systems. Simulation results validate the effectiveness of the proposed method.