ABSTRACT This article presents an adaptive model predictive control (AMPC) algorithm for real‐time management of a six‐phase permanent magnet synchronous motor. The system optimizes both speed control and power dissipation, featuring an automated power derating mechanism for overload conditions. AMPC demonstrated advantages over traditional field‐oriented control, including reduced losses and lower energy consumption, while maintaining robust performance and high speed control precision. Validation through hardware‐in‐the‐loop testing on the dSPACE platform confirmed its effectiveness. The contribution focuses on enhanced stability, robustness, and integrating predictive features to further improve efficiency and adaptability in electric drive systems.
Dini et al. (Wed,) studied this question.