An unmanned aerial vehicle path planning method under consideration of transmission line state assessment

Jie Chen; Yichen Tang; Bin Shen; Sicheng Lin; Hao Jiang

doi:10.1117/12.3030759

5 June 2024 An unmanned aerial vehicle path planning method under consideration of transmission line state assessment

Jie Chen, Yichen Tang, Bin Shen, Sicheng Lin, Hao Jiang

Proceedings Volume 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024); 131638N (2024) https://doi.org/10.1117/12.3030759
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 2024, Xi'an, China

Abstract

As an important tool for current electric power patrol, UAVs show intelligence instead of traditional human patrol. In this paper, for the problem of patrol planning for transmission line towers, considering the risk factors of UAV patrol in post-disaster environments, a multi-featured risk estimation is carried out, and a multi-objective optimization model under time and risk conditions is established. Secondly, for this problem model, an improved genetic algorithm based on elite guidance (EGIGA) is used for optimization, which adopts strategies such as partial elite crossover and adaptive mutation to accelerate the convergence performance of the algorithm. Finally, the feasibility and effectiveness of the method in this paper are verified through example simulation and algorithm comparison.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jie Chen, Yichen Tang, Bin Shen, Sicheng Lin, and Hao Jiang "An unmanned aerial vehicle path planning method under consideration of transmission line state assessment", Proc. SPIE 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 131638N (5 June 2024); https://doi.org/10.1117/12.3030759

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