arXiv:2510.02087eess.SYcs.MA2025-10被引 1

三机协同防御:让无人机团队在动态环境中自动拦截敌方无人机。

Cooperative Guidance for Aerial Defense in Multiagent Systems

  • 基于时间约束的制导框架,采用真实比例导航法确保稳定拦截。
  • 无论初始位置如何,都能在固定时间内将误差归零,成功完成防御任务。
  • 无需知晓敌方策略,计算轻量且可扩展,适合实时自主防御场景。

本文针对复杂空域中多智能体协同防御的关键挑战,研究三架自主飞行器——敌方无人机(追击者)、高价值无人机(逃避者)和防护无人机(防御者)之间的对抗问题。提出一种逃避者-防御者协同制导框架,可在高度动态和不确定的交战条件下,确保在敌方捕获前成功拦截追击者。与传统启发式、最优控制或微分博弈方法不同,本工作采用基于真实比例导航的时间约束制导框架,保证了空中防御问题的鲁棒性与确定性解。所提策略计算开销低,可扩展至大规模智能体配置,且无需了解追击者的策略或控制规律。从任意初始几何构型出发,该方法可保证关键交战误差在固定时间内收敛至零,从而实现任务成功。大量跨多样化、对抗性场景的仿真验证了该策略的有效性,表明其适用于实时自主防御的复杂空域环境。

原文摘要 · Abstract (English)

This paper addresses a critical aerial defense challenge in contested airspace, involving three autonomous aerial vehicles -- a hostile drone (the pursuer), a high-value drone (the evader), and a protective drone (the defender). We present a cooperative guidance framework for the evader-defender team that guarantees interception of the pursuer before it can capture the evader, even under highly dynamic and uncertain engagement conditions. Unlike traditional heuristic, optimal control, or differential game-based methods, we approach the problem within a time-constrained guidance framework, leveraging true proportional navigation based approach that ensures robust and guaranteed solutions to the aerial defense problem. The proposed strategy is computationally lightweight, scalable to a large number of agent configurations, and does not require knowledge of the pursuer's strategy or control laws. From arbitrary initial geometries, our method guarantees that key engagement errors are driven to zero within a fixed time, leading to a successful mission. Extensive simulations across diverse and adversarial scenarios confirm the effectiveness of the proposed strategy and its relevance for real-time autonomous defense in contested airspace environments.

协同制导无人机防御多智能体比例导航

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