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    无人集群智能逃逸控制算法与仿真

    Algorithm and Simulation of Intelligent Escape Control for Unmanned Swarm

    • 摘要: 为应对各式防空武器对无人集群飞行器突防构成的严重威胁, 在无人集群飞行器飞行行为研究的基础上, 从常规防空导弹/防空无人机武器所用的寻的追踪原理出发, 探索了一种新型的逆向视线转率逃逸算法. 经仿真研究表明, 提出的逃逸控制算法可以使集群飞行器有效完成逃逸机动, 并且在防空武器拦截失败后, 自动恢复阵型并继续按既定使命任务地点方向飞行.

       

      Abstract: Various types of air defense weapons pose a serious threat to the unmanned aerial vehicle's penetration. Based on the research of essential flight behavior of unmanned aerial vehicle, from the tracking principle commonly used by general air defense missiles or unmanned aircraft weapons, a new type of escaping algorithm which is based on the reverse of line-of-sight rate, is explored. Simulation results show that the proposed escaping control algorithm can e ectively help the aircraft swarm complete the escaping maneuver, and after the air defense weapon fails to intercept the target, it automatically recovers the formation and continues to fly at the intended location to continue the mission.

       

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