PMaSynRM High-Fidelity Modelling Considering Spatial Harmonics and Magnetic Saturation

This article presents a real-time runnable permanent-magnet-assisted synchronous reluctance machine model that accounts for spatial harmonics and magnetic saturation and cross-saturation. It is based on offline evaluations of a finite-element model that represents the geometry of the machine with great accuracy, over a grid of current and rotor position values. The collected current - flux-linkage data are then fitted with one polynomial function per rotor position. The coefficients of the polynomials are then stored and used for time-based simulations. The model is first validated statically by analysing the regression error over the training dataset. Secondly, a dynamic simulation is performed to compare it with a lookup-table-based model in realistic conditions.

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Publication Details

Published
2025-11-20
DOI
https://doi.org/10.1109/scems67400.2025.11267305
Primary Topic
Sensorless Control of Electric Motors
Type
article
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article

PMaSynRM High-Fidelity Modelling Considering Spatial Harmonics and Magnetic Saturation

Johan Gyselinck, Geoffrey Postal, A. Dupont
Sensorless Control of Electric Motors
article

PMaSynRM High-Fidelity Modelling Considering Spatial Harmonics and Magnetic Saturation

Johan Gyselinck, Geoffrey Postal, A. Dupont
article en

Abstract

This article presents a real-time runnable permanent-magnet-assisted synchronous reluctance machine model that accounts for spatial harmonics and magnetic saturation and cross-saturation. It is based on offline evaluations of a finite-element model that represents the geometry of the machine with great accuracy, over a grid of current and rotor position values. The collected current - flux-linkage data are then fitted with one polynomial function per rotor position. The coefficients of the polynomials are then stored and used for time-based simulations. The model is first validated statically by analysing the regression error over the training dataset. Secondly, a dynamic simulation is performed to compare it with a lookup-table-based model in realistic conditions.

Université Libre de Bruxelles (BE)
Openalex Percentile: Top 62%
Sensorless Control of Electric Motors
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