A Novel Algorithm for Finite Control Set Motion Predictive Control of PMSM

This paper proposes a novel Finite Control Set Motion Predictive Control (FCS-MPC) algorithm for Permanent Magnet Synchronous Motor (PMSM) drives that is applicable both to Surface-Mounted PMSMs (SPMSMs) and to Interior PMSMs (IPMSMs). The key innovation lies in deriving a closed-form solution of the motor’s mathematical model within the MPC framework. By leveraging the closed-form representation, the proposed method eliminates the need for iterative optimization, significantly reducing computational complexity while maintaining high accuracy and robustness. Furthermore, the algorithm inherently accounts for the non-linear dynamics of IPMSMs, including magnetic saturation and cross-coupling effects. The results obtained by means of accurate simulations fully validate the effectiveness of the proposed algorithm, demonstrating superior performance in terms of torque ripple reduction, computational efficiency, and robustness to parameter variations compared to state-of-the-art methods.

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Publication Details

Published
2025-06-24
DOI
https://doi.org/10.1109/iccep65222.2025.11143748
Primary Topic
Industrial Technology and Control Systems
Type
article
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article

A Novel Algorithm for Finite Control Set Motion Predictive Control of PMSM

Adolfo Dannier, Gianluca Brando, C. Attaianese
Industrial Technology and Control Systems
article

A Novel Algorithm for Finite Control Set Motion Predictive Control of PMSM

Adolfo Dannier, Gianluca Brando, C. Attaianese
article en

Abstract

This paper proposes a novel Finite Control Set Motion Predictive Control (FCS-MPC) algorithm for Permanent Magnet Synchronous Motor (PMSM) drives that is applicable both to Surface-Mounted PMSMs (SPMSMs) and to Interior PMSMs (IPMSMs). The key innovation lies in deriving a closed-form solution of the motor’s mathematical model within the MPC framework. By leveraging the closed-form representation, the proposed method eliminates the need for iterative optimization, significantly reducing computational complexity while maintaining high accuracy and robustness. Furthermore, the algorithm inherently accounts for the non-linear dynamics of IPMSMs, including magnetic saturation and cross-coupling effects. The results obtained by means of accurate simulations fully validate the effectiveness of the proposed algorithm, demonstrating superior performance in terms of torque ripple reduction, computational efficiency, and robustness to parameter variations compared to state-of-the-art methods.

Istituto Nazionale di Fisica Nucleare, Sezione di Napoli (IT), University of Naples Federico II (IT)
Openalex Percentile: Top 71%
Industrial Technology and Control Systems
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