Enhanced Sector Selection Method in FCS-MPC for Dual Three-Phase High-Saliency PMSMs

The increasing demand for electrified transportation requires high-power, efficient, and reliable traction drive systems. Dual three-phase permanent magnet machines (DTP-PMSMs) with high saliency ratios offer key advantages for these applications but introduce challenges in control accuracy and current harmonic suppression. This paper proposes a novel finite control set model predictive control (FCS-MPC) strategy with an enhanced sector selection method specifically tailored for high-saliency DTP-PMSM drives. The proposed approach improves actuation accuracy in the d-q subspace by reliably identifying the optimal virtual vectors, while a quasi-proportional resonant (QPR) controller effectively suppresses current harmonics in the x-y subspace. Simulation and experimental results demonstrate that the proposed method achieves a fast dynamic response, reduced current ripple, and strong current harmonic suppression, outperforming existing virtual vector-based FCS-MPC and field-oriented proportional-integral (PI) control methods. The results confirm the robustness and efficacy of the proposed controller across a wide range of operating conditions, making it a promising solution for high-performance electric drives.