UAV Electric Patrol Path Planning Based on Improved Ant Colony Optimization-A Algorithm

Due to the control accuracy and the complexity of three-dimensional path planning, it is difficult for multi rotor UAV to locate accurately according to point cloud data. In order to overcome these problems, according to the control accuracy of UAV and taking the minimum how much the energy is consu...

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Bibliographic Details
Published in2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA) pp. 1374 - 1380
Main Authors Changxin, Zhao, Ligang, Wu, Yiding, Wang, Xiao, Zhang, Yandong, Cui, Anming, He, Anqiao, Hu
Format Conference Proceeding
LanguageEnglish
Published IEEE 25.02.2022
Subjects
Ant colony algorithm
Atmospheric modeling
Electric Power Patrol
Path planning
Rotors
Simulation
Solid modeling
Three-dimensional displays
Trajectory planning
UAV
Wind speed
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Summary:Due to the control accuracy and the complexity of three-dimensional path planning, it is difficult for multi rotor UAV to locate accurately according to point cloud data. In order to overcome these problems, according to the control accuracy of UAV and taking the minimum how much the energy is consumed as the objective function, an improved ant colony-A* optimization algorithm based on UAV performance and wind speed constrained path planning model is established in this paper. The improved ant colony-A* algorithm is used to find the approximate optimal trajectory on the premise of covering all shooting points. The simulation results show that compared with the air transmission line UAV patrol image shooting manual, the how much the energy is consumed of the improved algorithm is greatly reduced.
DOI:10.1109/EEBDA53927.2022.9744949