Cooperative path planning with reconnaissance duration time constraints

被引:0
|
作者
Zhu Q. [1 ]
Zhou R. [1 ]
机构
[1] School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing
基金
中国国家自然科学基金;
关键词
Cooperative path planning; Elitism mechanism; Hybrid particle swarm optimization algorithm; Reconnaissance missions overlapping; Unmanned aerial vehicle;
D O I
10.13700/j.bh.1001-5965.2015.0613
中图分类号
学科分类号
摘要
When performing reconnaissance tasks, unmanned aerial vehicles (UAVs) keep reconnoitering the targets during different reconnaissance time for acquiring effective target information. It is assumed that UAVs fly in a straight line, which is suitable for better reconnaissance results during reconnaissance missions. A new simultaneous reconnaissance scheme was proposed by geometrical analysis for less than or equal to three reconnaissance mission overlapping. For the purpose of minimizing cooperative reconnaissance path length, modified hybrid particle swarm optimization algorithm with elitism mechanism was used to optimize the reconnaissance sequence, and the path planning was implemented between consecutive reconnaissance missions by Dubins path, with consideration of reconnaissance missions overlapping and reconnaissance duration time constraints. Simulation results demonstrate the effectiveness of the proposed method. © 2016, Editorial Board of JBUAA. All right reserved.
引用
收藏
页码:2130 / 2138
页数:8
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