Optimization Method of UAV Positioning Power Line Based on Magnetoresistive Sensor Arrays

With the rapid development of Unmanned Aerial Vehicle (UAV) technology, the application of UAV in various fields is becoming more and more widespread. The use of magnetoresistive sensor arrays to optimize the stability and positioning accuracy of UAVs perched on power lines has become an important research direction. In this research, a power line optimization method for UAV perching based on magnetoresistive sensor array is proposed. It aims to optimize the power line feature extraction, recognition method and accurate positioning of UAV perching on power lines through magnetic field data acquisition and analysis. In this paper, normally distributed random noise is added to the magnetic field data to simulate geomagnetic field interference. The transmission line position deviation is set to 0.02 m. After optimization, the position error is reduced to 1.40%. And the current information in the transmission line can be measured at the same time, which reduces the current estimation error from 20.59% to 0.81%.

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Publication Details

Published
2025-03-28
DOI
https://doi.org/10.1109/aeees64634.2025.11019661
Primary Topic
Power Line Inspection Robots
Type
article
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article

Optimization Method of UAV Positioning Power Line Based on Magnetoresistive Sensor Arrays

Dongsheng Cai, Xingyu Zhou
Power Line Inspection Robots
article

Optimization Method of UAV Positioning Power Line Based on Magnetoresistive Sensor Arrays

Dongsheng Cai, Xingyu Zhou
article en

Abstract

With the rapid development of Unmanned Aerial Vehicle (UAV) technology, the application of UAV in various fields is becoming more and more widespread. The use of magnetoresistive sensor arrays to optimize the stability and positioning accuracy of UAVs perched on power lines has become an important research direction. In this research, a power line optimization method for UAV perching based on magnetoresistive sensor array is proposed. It aims to optimize the power line feature extraction, recognition method and accurate positioning of UAV perching on power lines through magnetic field data acquisition and analysis. In this paper, normally distributed random noise is added to the magnetic field data to simulate geomagnetic field interference. The transmission line position deviation is set to 0.02 m. After optimization, the position error is reduced to 1.40%. And the current information in the transmission line can be measured at the same time, which reduces the current estimation error from 20.59% to 0.81%.

Chengdu University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 87%
Power Line Inspection Robots
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