Minimum Loss Control Strategy of SPMSM Based on Curve Fitting

In order to realize the accurate setting of d-axis current reference under the efficiency optimization of surface permanent magnet synchronous motor (SPMSM), this paper proposes a loss minimum control (LMC) method based on curve-fitting. The method first analyzes the analytical expression of iron loss to the d-axis current under the mathematical model. Then, within the rated current range of SPMSM, iron loss can be approximately linear in the function of the d-axis current. Consequently, the solving process of the d-axis current reference is simplified to solve the quadratic equation. Furthermore, the d-axis current reference setting involves only the stator and iron loss resistances. Finally, the viability and efficacy of the proposed methodology are experimentally verified.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/cvci63518.2024.10830175
Primary Topic
Sensorless Control of Electric Motors
Type
article
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article

Minimum Loss Control Strategy of SPMSM Based on Curve Fitting

Mingjie Wang, Zhiwei Chen, Yongpeng Shen, Shubin Jin
Sensorless Control of Electric Motors
article

Minimum Loss Control Strategy of SPMSM Based on Curve Fitting

Mingjie Wang, Zhiwei Chen, Yongpeng Shen, Shubin Jin
article en

Abstract

In order to realize the accurate setting of d-axis current reference under the efficiency optimization of surface permanent magnet synchronous motor (SPMSM), this paper proposes a loss minimum control (LMC) method based on curve-fitting. The method first analyzes the analytical expression of iron loss to the d-axis current under the mathematical model. Then, within the rated current range of SPMSM, iron loss can be approximately linear in the function of the d-axis current. Consequently, the solving process of the d-axis current reference is simplified to solve the quadratic equation. Furthermore, the d-axis current reference setting involves only the stator and iron loss resistances. Finally, the viability and efficacy of the proposed methodology are experimentally verified.

Zhengzhou University of Light Industry (CN)
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Sensorless Control of Electric Motors
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