Reachability-Based Safety and Goal Satisfaction of Unmanned Aerial Platoons on Air Highways

Mo Chen, Qie Hu, J. Fisac, Kene Akametalu, Casey Mackin, C. Tomlin
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引用次数: 46

Abstract

Recently, there has been immense interest in using unmanned aerial vehicles (UAVs) for civilian operations. As a result, unmanned aerial systems traffic management is needed to ensure the safety and goal satisfaction of potentially thousands of UAVs flying simultaneously. Currently, the analysis of large multi-agent systems cannot tractably provide these guarantees if the agents' set of maneuvers is unrestricted. In this paper, platoons of UAVs flying on air highways is proposed to impose an airspace structure that allows for tractable analysis. For the air highway placement problem, the fast marching method is used to produce a sequence of air highways that minimizes the cost of flying from an origin to any destination. The placement of air highways can be updated in real-time to accommodate sudden airspace changes. Within platoons traveling on air highways, each vehicle is modeled as a hybrid system. Using Hamilton-Jacobi reachability, safety and goal satisfaction are guaranteed for all mode transitions. For a single altitude range, the proposed approach guarantees safety for one safety breach per vehicle, in the unlikely event of multiple safety breaches, safety can be guaranteed over multiple altitude ranges. We demonstrate the platooning concept through simulations of three representative scenarios.
基于可达性的空中高速公路无人机排安全与目标满足
最近,人们对使用无人驾驶飞行器(uav)进行民用操作产生了巨大的兴趣。因此,需要对无人机系统进行交通管理,以确保可能同时飞行的数千架无人机的安全和目标满足。目前,对于大型多智能体系统的分析,如果智能体的动作集不受限制,则无法追踪地提供这些保证。本文提出了在空中高速公路上飞行的无人机编队,以施加一个允许易于分析的空域结构。对于空中高速公路布局问题,采用快速推进法生成从起点到任何目的地飞行成本最小的空中高速公路序列。空中高速公路的位置可以实时更新,以适应突然的空域变化。在空中高速公路上行驶的车队中,每辆车都被建模为混合动力系统。利用Hamilton-Jacobi可达性,保证了所有模式转换的安全性和目标满意度。在单一高度范围内,该方法保证每辆车在一次安全违规情况下的安全,在不太可能发生多次安全违规的情况下,该方法可以保证多个高度范围内的安全。我们通过三种典型场景的仿真来演示队列概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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