Model-Free Predictive Control for PMSM Incorporating Flux-weakening

In recent years, permanent magnet synchronous motors (PMSMs) have gained significant attention across various industrial sectors, particularly in transportation, owing to their distinct advantages over alternative motor technologies. Notably, PMSMs exhibit higher power density and possess the potential for wide flux weakening operation, thereby extending the speed range of operation—a critical attribute in electric vehicle applications. However, the sensitivity of PMSM control approaches to variations in machine parameters presents a notable challenge, as it can lead to degradation in controller performance when discrepancies arise between modeled parameters and real-world conditions. Addressing this concern, this study introduces a model-free adaptation of finite control set (FCS) predictive control (FCS-MFPC) tailored for flux weakening (FW) operation. Through simulation analysis conducted over the US Environmental Protection Agency Urban Dynamometer Driving Schedule, the performance of this controller is examined. Additionally, the performance of the controller is compared to conventional FCS-MPC. To facilitate a comprehensive comparison, criteria such as reference tracking error and drive efficiency are considered.