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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    Titel :

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


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Cao, Wenping (Herausgeber:in) / Hu, Cungang (Herausgeber:in) / Chen, Xiangping (Herausgeber:in) / Xu, Li (Autor:in) / Fu, Yanyi (Autor:in) / Guo, Hao (Autor:in) / Mao, Dun (Autor:in) / Li, Hui (Autor:in) / Zou, Dehua (Autor:in) / Wang, Zhenyu (Autor:in)

    Kongress:

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



    Erscheinungsdatum :

    10.03.2023


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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