Real‐Time AMPC for Loss Reduction in 48 V Six‐Phase Synchronous Motor Drives

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.

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Institutions

Publication Details

Journal
IET Power Electronics
Published
2025-01-01
DOI
https://doi.org/10.1049/pel2.70072
Citations
5
Primary Topic
Multilevel Inverters and Converters
Type
article
Field-Weighted Citation Impact
3.65

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article

Real‐Time AMPC for Loss Reduction in 48 V Six‐Phase Synchronous Motor Drives

Pierpaolo Dini, Sajib Chakraborty, Omar Hegazy, Sergio Saponara et al.
5 citations
IET Power Electronics
Multilevel Inverters and Converters
3.65
article

Real‐Time AMPC for Loss Reduction in 48 V Six‐Phase Synchronous Motor Drives

Pierpaolo Dini, Sajib Chakraborty, Omar Hegazy, Sergio Saponara, Giovanni Basso
article en
5 citations

Abstract

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.

IET Power ElectronicsVol. 18(1)
University of Pisa (IT), Vrije Universiteit Brussel (BE), Flanders Make (Belgium) (BE)
Dipartimenti di Eccellenza, Flanders Make, Ministero dell’Istruzione, dell’Università e della Ricerca, Electronic Components and Systems for European Leadership, Vlaamse regering
Affordable and clean energy
Openalex Percentile: Top 7%
Multilevel Inverters and Converters
3.65
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Real‐Time AMPC for Loss Reduction in 48 V Six‐Phase Synchronous Motor Drives — Pierpaolo Dini, Sajib Chakraborty, et al. · IET Power Electronics (2025) | TGRS Research Map | TGRS