System Level, Comparative Loss Evaluation of Interior Permanent Magnet Drive with Traditional and Predictive Control Strategies

Finite Control Set Model Predictive Control (FCSMPC) is a control technique that has incited large interest in the power electronics community for both grid connected and machine drive applications, due to its good flexibility and excellent dynamics. This paper presents a system level comparison of two MPC current control strategies with a traditional Field Oriented Control (FOC) architecture. By employing coupled simulations, the impact of different modulation characteristics on electrical machine performance is quantified, allowing designers to better match control strategy strengths with application level requirements.

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Publication Details

Published
2025-04-09
DOI
https://doi.org/10.1109/wemdcd61816.2025.11014128
Primary Topic
Electric Motor Design and Analysis
Type
article
Field-Weighted Citation Impact
0.00

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Controls
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article

System Level, Comparative Loss Evaluation of Interior Permanent Magnet Drive with Traditional and Predictive Control Strategies

Gregorio Cutuli, Filippo Savi, Stefano Nuzzo, Davide Barater
Electric Motor Design and Analysis
article

System Level, Comparative Loss Evaluation of Interior Permanent Magnet Drive with Traditional and Predictive Control Strategies

Gregorio Cutuli, Filippo Savi, Stefano Nuzzo, Davide Barater
article en

Abstract

Finite Control Set Model Predictive Control (FCSMPC) is a control technique that has incited large interest in the power electronics community for both grid connected and machine drive applications, due to its good flexibility and excellent dynamics. This paper presents a system level comparison of two MPC current control strategies with a traditional Field Oriented Control (FOC) architecture. By employing coupled simulations, the impact of different modulation characteristics on electrical machine performance is quantified, allowing designers to better match control strategy strengths with application level requirements.

University of Modena and Reggio Emilia (IT), Ferrari (Italy) (IT)
Università Degli Studi di Modena e Reggio Emila
Sustainable cities and communities
Openalex Percentile: Top 89%
Electric Motor Design and Analysis
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