Control and Planning of Rotary Wing Unmanned Aerial Vehicles Applied to High-Altitude Cableway Detection

A novel detection method is to use unmanned aerial vehicles for the detection of high-altitude passenger ropeways. This paper posed a challenging problem for detection system modeling and control. This article proposed a method of detecting high-altitude passenger ropeways by connecting two unmanned aerial vehicles. Firstly, the structural composition of the detection system was designed according to the testing scenario. Secondly, the dynamic models of the two drones are established. Besides this, a geometric controller is used to ensure the exactly tracking of the planed trajectory. Finally, the feasibility and validity are verified in the experiment.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/icus61736.2024.10840147
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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Control and Planning of Rotary Wing Unmanned Aerial Vehicles Applied to High-Altitude Cableway Detection

Zhaoxiong Huang, Xuan Zhang, Liying Yang, Siliang Li et al.
Robotic Path Planning Algorithms
article

Control and Planning of Rotary Wing Unmanned Aerial Vehicles Applied to High-Altitude Cableway Detection

Zhaoxiong Huang, Xuan Zhang, Liying Yang, Siliang Li, Yuqing He
article en

Abstract

A novel detection method is to use unmanned aerial vehicles for the detection of high-altitude passenger ropeways. This paper posed a challenging problem for detection system modeling and control. This article proposed a method of detecting high-altitude passenger ropeways by connecting two unmanned aerial vehicles. Firstly, the structural composition of the detection system was designed according to the testing scenario. Secondly, the dynamic models of the two drones are established. Besides this, a geometric controller is used to ensure the exactly tracking of the planed trajectory. Finally, the feasibility and validity are verified in the experiment.

Shenyang Institute of Automation (CN), Chinese Academy of Sciences (CN), State Key Laboratory of Robotics
National Key Research and Development Program of China, Youth Innovation Promotion Association
Affordable and clean energy
Openalex Percentile: Top 74%
Robotic Path Planning Algorithms
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