Permanent magnet synchronous motor deadbeat and active disturbance rejection composite control strategy

Aiming at the problem that the dynamic response speed of the permanent magnet synchronous motor servo system is slow and the current situation cannot be quickly restored when the load is suddenly applied, which leads to the degradation of the system ‘s anti-interference performance, an improved deadbeat active disturbance rejection composite control strategy is proposed. Firstly, the speed loop adopts improved auto-disturbance rejection, and the new faln function improves the chattering of the original fal function at the origin, which is easy to cause fluctuations. Secondly, the current loop adopts deadbeat predictive control, which effectively reduces the current tracking error and improves the system tracking accuracy. Finally, the simulation and experimental results show that compared with the traditional PI, this method reduces 0.1035 s, the recovery time is reduced by 0.041 s, and the current fluctuation is reduced by ± 0.7A, which fully proves that this method can effectively improve the response speed and control accuracy of the system.

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Publication Details

Published
2025-07-04
DOI
https://doi.org/10.1109/ceege66246.2025.11182430
Primary Topic
Sensorless Control of Electric Motors
Type
article
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article

Permanent magnet synchronous motor deadbeat and active disturbance rejection composite control strategy

Dixia Fan, Tianyi Lan, Yingchun Li
Sensorless Control of Electric Motors
article

Permanent magnet synchronous motor deadbeat and active disturbance rejection composite control strategy

Dixia Fan, Tianyi Lan, Yingchun Li
article en

Abstract

Aiming at the problem that the dynamic response speed of the permanent magnet synchronous motor servo system is slow and the current situation cannot be quickly restored when the load is suddenly applied, which leads to the degradation of the system ‘s anti-interference performance, an improved deadbeat active disturbance rejection composite control strategy is proposed. Firstly, the speed loop adopts improved auto-disturbance rejection, and the new faln function improves the chattering of the original fal function at the origin, which is easy to cause fluctuations. Secondly, the current loop adopts deadbeat predictive control, which effectively reduces the current tracking error and improves the system tracking accuracy. Finally, the simulation and experimental results show that compared with the traditional PI, this method reduces 0.1035 s, the recovery time is reduced by 0.041 s, and the current fluctuation is reduced by ± 0.7A, which fully proves that this method can effectively improve the response speed and control accuracy of the system.

Shaanxi University of Science and Technology (CN)
Openalex Percentile: Top 73%
Sensorless Control of Electric Motors
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