Using a single heuristic algorithm to optimize the trajectory of a UAV (unmanned aerial vehicle) patrol inspection transmission tower body and accessories will result in trajectories overlapping and easily falling into the local optimal solution. As a result, this paper presents a hybrid GA (genetic algorithm)-SA (simulated annealing algorithm) optimization algorithm for UAV 3D trajectory. To optimize the trajectory of the UAV traversing the safe hovering point at high altitude, GA, SA, and hybrid GA-SA algorithms are used on the 500 kV UHV AC double-loop drum tower of UAV patrol inspection. The results show that the hybrid GA-SA algorithm has the shortest optimal trajectory distance and the shortest iterative convergence times, proving the effectiveness of the proposed method.


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    Title :

    Optimization of 3D Trajectory of UAV Patrol Inspection Transmission Tower Based on Hybrid Genetic-Simulated Annealing Algorithm


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Cao, Wenping (editor) / Hu, Cungang (editor) / Chen, Xiangping (editor) / Xu, Li (author) / Fu, Yanyi (author) / Guo, Hao (author) / Mao, Dun (author) / Li, Hui (author) / Zou, Dehua (author) / Wang, Zhenyu (author)

    Conference:

    International Symposium on New Energy and Electrical Technology ; 2022 ; Anyang, China August 25, 2022 - August 25, 2022



    Publication date :

    2023-03-10


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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