Implementation of Finite Control Set Model Predictive Control (FCS-MPC) for Five-Phase Induction Motors

This paper investigates the study and practical implementation of Finite Control Set Model Predictive Control (FCS-MPC) for a five-phase induction motor powered by a two-level, five-phase voltage source inverter. Multiphase systems present notable benefits over conventional three-phase configurations, including improved fault tolerance, enhanced torque production, and minimized harmonic distortion, making them well-suited for demanding applications. FCS-MPC operates by directly predicting and selecting the optimal control action at each sampling instant, eliminating the necessity of a modulation stage and offering fast dynamic response. The proposed control approach is designed and validated through experimental testing, assessing key performance indicators such as speed tracking, torque ripple, and current distortion under both transient and steady-state conditions. The experimental results demonstrate the effectiveness of FCS-MPC in ensuring precise and efficient control across various operating scenarios, making it a viable alternative for multiphase motor drive applications.