基于Voronoi图和离散粒子群优化的无人机航迹规划
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TN967

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Flight Path Planning of UAV Based on Voronoi Diagram and Discrete PSO
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    摘要:

    航迹规划是根据任务目标规划出满足约束条件的飞行轨迹,是实现无人机突防攻击的关键技术。由于无人机航迹规划的复杂性,提出了一种无人机分层航迹规划的方法,该方法首先由 Voronoi 图生成初始航路,然后考虑各约束条件,赋予各航路相应的权值,最终应用离散型粒子群算法搜索出满意的规划解。仿真结果表明,该方法规划效率高,占用内存少,在工程上有广阔的应用前景。

    Abstract:

    The goal of flight path planning is to plan an optimum flight path that can meet restrictions according to flight mission. It is a key technology in the attack and defense of UAV. Because of the complexity of the flight path planning, a new hierarchical path planning approach is proposed. The approach is composed of three steps. The first step is to generate the initial path according to the voronoi diagram. The second step is to evaluate flight paths on a basis of all the restrictions. The last step is to obtain the optimal solution by using the discrete particle swarm optimization (DPSO) algorithm. The simulation shows that the approach has extensive prospect because of its high efficiency and less memory space.

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刘平,彭建亮.基于Voronoi图和离散粒子群优化的无人机航迹规划[J].现代导航,2011,2(6):412-416

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  • 在线发布日期: 2022-05-17
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