Sensorless control of BLDCM based on STSMO

Brushless DC motor has high reliability and strong anti-interference ability under the addition of position sensor technology, and position sensor-less control has become one of the hot spots in the research of brushless DC motor. In this paper, the second-order super-helical sliding mode observer is designed for the shortcoming of the traditional sliding mode observer, which is easy to cause large errors in the calculation of the arctangent function, replacing the traditional arctangent function with a phase-locked loop, and replacing the traditional symbolic function with a new type of continuous function. By building a simulation model and verifying it, the method used in this article can not only reduce the impact of vibration, but also improve observation accuracy and reduce the error in observation.

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Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1117/12.3054414
Citations
1
Primary Topic
Sensorless Control of Electric Motors
Type
article
Field-Weighted Citation Impact
0.21
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article

Sensorless control of BLDCM based on STSMO

Heting Wen, Xiaodong Yao
1 citations
Sensorless Control of Electric Motors
0.21
article

Sensorless control of BLDCM based on STSMO

Heting Wen, Xiaodong Yao
article en
1 citations

Abstract

Brushless DC motor has high reliability and strong anti-interference ability under the addition of position sensor technology, and position sensor-less control has become one of the hot spots in the research of brushless DC motor. In this paper, the second-order super-helical sliding mode observer is designed for the shortcoming of the traditional sliding mode observer, which is easy to cause large errors in the calculation of the arctangent function, replacing the traditional arctangent function with a phase-locked loop, and replacing the traditional symbolic function with a new type of continuous function. By building a simulation model and verifying it, the method used in this article can not only reduce the impact of vibration, but also improve observation accuracy and reduce the error in observation.

Shanghai Dianji University (CN)
Affordable and clean energy
Openalex Percentile: Top 45%
Sensorless Control of Electric Motors
0.21
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