Sensorless Control Based on PMSM Linear State Observer

PMSM is widely used in the industrial manufacturing field. In order to reduce costs and get rid of the dependence on position sensors, this paper proposes an enhanced linear extended state observer (E-LESO) position free control method. By using an extended state observer, the characteristics of disturbances can be accurately estimated. The rotor position information can be treated as disturbances, and based on this, the back electromotive force can be expanded twice to increase the system order, alleviate phase lag, and improve the dynamic performance of the system, thereby estimating the back electromotive force. In addition, using phase-locked loops to replace inverse trigonometric functions further improves observation accuracy.

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Published
2025-04-25
DOI
https://doi.org/10.1109/nesp65198.2025.11041581
Primary Topic
Advanced Algorithms and Applications
Type
article
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article

Sensorless Control Based on PMSM Linear State Observer

Bihui Wang, Haiyan Zhang
Advanced Algorithms and Applications
article

Sensorless Control Based on PMSM Linear State Observer

Bihui Wang, Haiyan Zhang
article en

Abstract

PMSM is widely used in the industrial manufacturing field. In order to reduce costs and get rid of the dependence on position sensors, this paper proposes an enhanced linear extended state observer (E-LESO) position free control method. By using an extended state observer, the characteristics of disturbances can be accurately estimated. The rotor position information can be treated as disturbances, and based on this, the back electromotive force can be expanded twice to increase the system order, alleviate phase lag, and improve the dynamic performance of the system, thereby estimating the back electromotive force. In addition, using phase-locked loops to replace inverse trigonometric functions further improves observation accuracy.

Shanghai Dianji University (CN)
Openalex Percentile: Top 83%
Advanced Algorithms and Applications
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