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Research of 3-D Track Planning for Unmanned Aerial Vehicles with Sudden Threats

机译:突袭无人机的3D航迹规划研究

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摘要

The study of UAV 3-D track planning is less under the environment with sudden threats and it mainly focused on determining static environment. In this article a two-stage planning method is proposed. The planning process is divided into two stages: track pre-planning and track amendment. ACO and ABC algorithms are adopted respectively. Track pre-planning can be determined beforehand in accordance with the informed hostile environment by ACO algorithm. And then, UAV flies according the on the pre-planning track. At the same time, it does real-time threats detection by airborne electronic equipments. When sudden threats happen, UAV make track amendment by ABC algorithm after identifying the location and type of threats. As just local amendment, the space is small and the data scale is less. In fact, ABC algorithm has the advantage of little time-consuming and quick search in small space with high-efficiency. And it can meet the requirement of accuracy and speed under sudden threats. Finally, two examples are tested and the simulation results show that the two-stage planning method is an effective track planning algorithm for the track planning problem under sudden environment.
机译:无人机3-D航迹规划的研究较少是在突发威胁的环境下进行的,其研究主要集中在确定静态环境上。本文提出了一种两阶段的规划方法。规划过程分为两个阶段:跟踪预先计划和跟踪修订。分别采用ACO和ABC算法。可以根据已知的敌对环境通过ACO算法预先确定航迹的预先计划。然后,无人机按照预定路线飞行。同时,它可以通过机载电子设备进行实时威胁检测。当突发威胁发生时,无人机在识别出威胁的位置和类型后,通过ABC算法进行航迹修正。仅作为局部修订,空间很小,数据规模也较小。实际上,ABC算法具有耗时少,效率高,在狭小空间内快速搜索的优点。它可以满足突发威胁下准确性和速度的要求。最后,通过两个例子进行了测试,仿真结果表明,两阶段规划方法是解决突发环境下轨道规划问题的有效轨道规划算法。

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