Cable Attitude Detection Technology Based on Rotation Matrix

We use rotation matrix to detect cable attitude. This paper includes the attitude measurement of the cable in both the 2D and 3D planes. Two-dimensional refers to changing the distance between two piles, three-dimensional refers to the movement of the cable before and after due to external factors, using the six-axis IMU attitude sensor to measure the angle of the x, y, z three-axis direction of the reference point, using the translation and rotation matrix, the coordinates are transformed to the three-dimensional coordinate system (absolute coordinate system) of the starting point, and the coordinates of each reference point are obtained, so as to measure the change state of the cable curve. The more reference points selected in this method, the more accurate the results and the smoother the curve.

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Publication Details

Published
2024-08-04
DOI
https://doi.org/10.1109/icma61710.2024.10633048
Primary Topic
Power Line Inspection Robots
Type
article
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article

Cable Attitude Detection Technology Based on Rotation Matrix

Qiang Fu, Chunjie Wang, Wentao Xue, Peng Chen et al.
Power Line Inspection Robots
article

Cable Attitude Detection Technology Based on Rotation Matrix

Qiang Fu, Chunjie Wang, Wentao Xue, Peng Chen, Chaoyue Lin
article en

Abstract

We use rotation matrix to detect cable attitude. This paper includes the attitude measurement of the cable in both the 2D and 3D planes. Two-dimensional refers to changing the distance between two piles, three-dimensional refers to the movement of the cable before and after due to external factors, using the six-axis IMU attitude sensor to measure the angle of the x, y, z three-axis direction of the reference point, using the translation and rotation matrix, the coordinates are transformed to the three-dimensional coordinate system (absolute coordinate system) of the starting point, and the coordinates of each reference point are obtained, so as to measure the change state of the cable curve. The more reference points selected in this method, the more accurate the results and the smoother the curve.

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