Finite-Control-Set Model Predictive Control with Reduced Computational Burden in Cascaded H-Bridge Permanent Magnet Synchronous Motor Drives for EV Applications

This article introduces an enhanced Finite-Control-Set Model Predictive Control (FCS-MPC) for Permanent Magnet Synchronous Motor (PMSM) drives powered by Multi-level Cascaded H-Bridge (CHB) inverters. The work focuses on reducing the algorithm computational complexity for torque control operations, ensuring State of Charge (SOC) balancing and reduced switching losses. The innovation lies in the utilization of adaptive Look-up Tables (LUTs) and an ad hoc objective function. Simulation results are provided to confirm the effectiveness of the proposed control approach in achieving accurate drive control with reduced switching frequency and enhanced SOC management. Additionally, the computational overhead of the proposed approach was measured on the target control platform to validate the reduction in computing complexity.