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. © 2025 The Author(s). IET Power Electronics published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.
Real-Time AMPC for Loss Reduction in 48 V Six-Phase Synchronous Motor Drives
Dini Pierpaolo
Primo
;Basso Giovanni;Saponara Sergio;
2025-01-01
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. © 2025 The Author(s). IET Power Electronics published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
