High Frequency Square Wave Injection Method Based on Cascaded Pure Delay Filter

The high-frequency square wave injection method is one of the most widely used sensorless control strategies in the low-speed field of permanent magnet synchronous motor (PMSM). However, in the signal extraction process, it is usually necessary to introduce a band-pass filter, which is sensitive to the frequency change and can easily cause significant delay and distortion to the signal. Aiming at this problem, this paper proposes a signal extraction method based on cascaded pure delay filter. Subtract the sampled current from the sampled current delayed for a certain period of time to achieve filtering effect. Finally, the method was validated through simulation to have good signal extraction performance.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/iaecst64597.2024.11117807
Primary Topic
Advanced Fiber Optic Sensors
Type
article
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High Frequency Square Wave Injection Method Based on Cascaded Pure Delay Filter

Xinghua Mu, Jiapeng Cui, Huaiyu Guo, Changlong Zhao et al.
Advanced Fiber Optic Sensors
article

High Frequency Square Wave Injection Method Based on Cascaded Pure Delay Filter

Xinghua Mu, Jiapeng Cui, Huaiyu Guo, Changlong Zhao, Xince Zhao, Bowen Gu, Chen Yang, Zhipeng Liu
article en

Abstract

The high-frequency square wave injection method is one of the most widely used sensorless control strategies in the low-speed field of permanent magnet synchronous motor (PMSM). However, in the signal extraction process, it is usually necessary to introduce a band-pass filter, which is sensitive to the frequency change and can easily cause significant delay and distortion to the signal. Aiming at this problem, this paper proposes a signal extraction method based on cascaded pure delay filter. Subtract the sampled current from the sampled current delayed for a certain period of time to achieve filtering effect. Finally, the method was validated through simulation to have good signal extraction performance.

Heilongjiang Electric Power Workers University (CN)
Affordable and clean energy
Openalex Percentile: Top 72%
Advanced Fiber Optic Sensors
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