Research on UAV path planning method based on the multi-precision planning windows

被引：0
|
作者：
Yu J. [1 ]
Wu X. [1 ]
Jiang A. [1 ]
Yong E. [1 ]
机构：
[1] Computational Aerodynamics Institute, China Aerodynamics Research and Development Center, Mianyang
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2024年 / 46卷 / 05期
关键词：
ant colony optimization (ACO) algorithm; multi-precision optimization; optimization algorithm; path planning; unmanned aerial vehicle (UAV);
D O I：
10.12305/j.issn.1001-506X.2024.05.29
中图分类号：
学科分类号：
摘要：
Path planning plays a significant role on the unmanned aerial vehicle (UAV) mission planning. It is aiming at finding a safest UAV trajectory of optimal flying cost, considering the battlefield environment and other mission requirements. Based on the parallel ability of ant colony optimization (AGO) algorithm, a multi-precision planning window method is proposed. Based on the initial trajectory, it can automatically set multiple local planning windows with specifical planning precisions and optimization parameters, and then parallel path modification in a short time. Simulation analysis shows that the algorithm parameters configuration and planning accuracy are different in different battlefield environments. Through the optimization and adjustment of multi-precision planning window, the final flight path can adapt to different battlefield environment, and has better planning efficiency and accuracy. © 2024 Chinese Institute of Electronics. All rights reserved.
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页码：1767 / 1776
页数：9
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