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.
Optimization of 3D Trajectory of UAV Patrol Inspection Transmission Tower Based on Hybrid Genetic-Simulated Annealing Algorithm
Lect. Notes Electrical Eng.
International Symposium on New Energy and Electrical Technology ; 2022 ; Anyang, China August 25, 2022 - August 25, 2022
Proceedings of the 3rd International Symposium on New Energy and Electrical Technology ; Chapter : 87 ; 841-848
2023-03-10
8 pages
Article/Chapter (Book)
Electronic Resource
English
Optimization Vehicle Scheduling Based on Simulated Annealing Genetic Algorithm
Trans Tech Publications | 2014
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