Conductor Galloping Monitoring Method Based on Beidou Differential Positioning Technology Combined with Adaptive Kalman Filter

The overhead transmission line is affected by the weather. After the wire is eccentrically covered, it is easy to produce galloping under the action of wind, which threatens the safe operation of the transmission line. Aiming at this phenomenon, a wire galloping monitoring method based on Beidou differential positioning technology combined with adaptive Kalman filter is proposed. The Beidou differential positioning technology is used to obtain high-precision position data. Then, based on the traditional Kalman filter, the Kalman filter gain is improved by updating the observation noise covariance matrix R and the state noise covariance matrix Q to dynamically estimate the position data of the Beidou acquisition unit at each moment. The simulation and experimental results show that the Beidou differential positioning can improve the positioning accuracy to the centimeter level, and the adaptive Kalman filter can reduce the measurement error to less than 0.04 meters. This method can achieve high-precision and accurate positioning of transmission line galloping.

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Published
2024-09-20
DOI
https://doi.org/10.1109/aicit62434.2024.10730429
Primary Topic
Vibration and Dynamic Analysis
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article
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article

Conductor Galloping Monitoring Method Based on Beidou Differential Positioning Technology Combined with Adaptive Kalman Filter

Hanyu Hong, Bin Tian, Yang Pi
Vibration and Dynamic Analysis
article

Conductor Galloping Monitoring Method Based on Beidou Differential Positioning Technology Combined with Adaptive Kalman Filter

Hanyu Hong, Bin Tian, Yang Pi
article en

Abstract

The overhead transmission line is affected by the weather. After the wire is eccentrically covered, it is easy to produce galloping under the action of wind, which threatens the safe operation of the transmission line. Aiming at this phenomenon, a wire galloping monitoring method based on Beidou differential positioning technology combined with adaptive Kalman filter is proposed. The Beidou differential positioning technology is used to obtain high-precision position data. Then, based on the traditional Kalman filter, the Kalman filter gain is improved by updating the observation noise covariance matrix R and the state noise covariance matrix Q to dynamically estimate the position data of the Beidou acquisition unit at each moment. The simulation and experimental results show that the Beidou differential positioning can improve the positioning accuracy to the centimeter level, and the adaptive Kalman filter can reduce the measurement error to less than 0.04 meters. This method can achieve high-precision and accurate positioning of transmission line galloping.

Wuhan Institute of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 78%
Vibration and Dynamic Analysis
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Conductor Galloping Monitoring Method Based on Beidou Differential Positioning Technology Combined with Adaptive Kalman Filter — Hanyu Hong, Bin Tian, et al. · (2024) | TGRS Research Map | TGRS