Open AccessResearch on Cooperative Search Trajectory Planning for Rotorcraft UAVs Based on Scrolling Planning Algorithm
Author(s) -
Yijie Zhuang,
Jianfeng Xu,
Li Wang
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2252/1/012058
Subject(s) - scrolling , computer science , task (project management) , population , genetic algorithm , motion planning , trajectory , mathematical optimization , algorithm , artificial intelligence , engineering , machine learning , mathematics , systems engineering , astronomy , sociology , robot , physics , demography
The UAV trajectory planning algorithm for scrolling planning is proposed for the objective of multi-UAVs searching for multiple targets in an uncertain environment. Information about the unknown environment is described using infographic, while for the huge computational effort in multi-UAVs scrolling planning, an improved genetic algorithm is used to solve the optimal solution for the UAV population. Simulation results show that the scrolling planning algorithm proposed in this paper can achieve a better search for the target in the uncertain region, and the algorithm framework is reasonable and feasible with high planning efficiency, which can be used for the cooperative search task of multi-UAVs in the uncertain area.