搜索打击任务的多无人机编队的研究与优化

摘要

The UAVs have limited detection range and can carry limited consumable payloads .Therefore,when it requires different types and different quantities of payloads to completely destroy a detected target,a team of UAVs,called a formation,is needed .A multi-UAV formation for taking search and strike mission was proposed,which ensured the minimum delay of target attacking and the minimum scale of formation through two phases .Three search strategies:random search strategy,multi-lane based search strategy and grid based search strategy,were given.At last,Monte-Carlo simulation was used to implement the formation algorithm and analyze the performance of three search strategies .%无人机探测范围和携带的可消耗载荷有限，因此，当被侦测的目标需要不同种类和不同数量的载荷才能被完全摧毁时，就需要一组无人机形成编队来打击目标。提出一种针对搜索打击任务的多无人机编队方法，该算法通过两个阶段来确保打击目标的时延最短和编队规模最小。同时，给出了3种不同的搜索策略：随机搜索、多车道搜索、网格搜索，进一步优化算法。最后，利用Monte-Carlo方法仿真实现了编队算法并分析了3种搜索策略的性能。