Application of Finite Control Set–Model Predictive Control for Servo Brake Motion in PMSM Drives Application de la commande prédictive par modèle et ensemble fini de contrôle pour le mouvement de freinage asservi dans les entraînements PMSM

This research addresses the tracking performance degradation near the target brake position in permanent magnet synchronous motor (PMSM) drives governed by Finite Control Set-Model Predictive Control (FCS-MPC). While FCS-MPC offers intuitive optimization, the low resolution of the output voltage near the standstill braking position typically introduces significant steady-state errors in angular position tracking. To mitigate this, the paper introduces a reference trajectory within the predictive cost function for braking motions, coupled with an alternating speed control procedure. Crucially, the methodology incorporates a finite number of smoothed voltages as candidate vectors for the FCS-MPC algorithm. This modification increases the effective resolution of the output voltage without excessively increasing computational complexity. The

proposed strategy aims to minimize steady-state tracking errors during servo brake operations. For M.Tech students, this paper provides a solid foundation for modeling predictive control strategies in MATLAB/Simulink, offering guidance on designing cost functions and evaluating voltage smoothing techniques in high-precision servo drives.

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