论文标题
最佳狮子座卫星星座覆盖太空威胁的自主和弹性控制
Autonomous and Resilient Control for Optimal LEO Satellite Constellation Coverage Against Space Threats
论文作者
论文摘要
LEO卫星星座覆盖范围已成为各种空间应用的基本平台。但是，诸如轨道碎片和对抗空间威胁之类的快速发展的安全环境极大地危害了卫星星座的安全性和卫星星座覆盖范围的完整性。由于轨道上的维修具有挑战性，因此必须采用分布式和自主保护机制，以确保卫星星座对不同攻击的适应和自我修复。为此，我们建立了一个集成和分布式框架，以在单个轨道中实现弹性卫星星座的覆盖计划和控制。每个卫星都可以单独做出决定，以从对抗和非对抗性攻击中恢复并继续提供覆盖范围。我们首先提供模型和方法来衡量覆盖范围的性能。然后，我们将联合弹性覆盖范围的计划控制问题作为两个阶段问题。提出了一个覆盖范围游戏，以找到用于弹性覆盖计划的平衡星座部署，并开发了一种基于代理的算法来计算平衡。采用多通道模型预测控制（MPC）方法来实现自主的自我修复控制。最后，我们使用典型的LEO卫星星座作为案例研究来证实结果。
LEO satellite constellation coverage has served as the base platform for various space applications. However, the rapidly evolving security environment such as orbit debris and adversarial space threats are greatly endangering the security of satellite constellation and integrity of the satellite constellation coverage. As on-orbit repairs are challenging, a distributed and autonomous protection mechanism is necessary to ensure the adaptation and self-healing of the satellite constellation coverage from different attacks. To this end, we establish an integrative and distributed framework to enable resilient satellite constellation coverage planning and control in a single orbit. Each satellite can make decisions individually to recover from adversarial and non-adversarial attacks and keep providing coverage service. We first provide models and methodologies to measure the coverage performance. Then, we formulate the joint resilient coverage planning-control problem as a two-stage problem. A coverage game is proposed to find the equilibrium constellation deployment for resilient coverage planning and an agent-based algorithm is developed to compute the equilibrium. The multi-waypoint Model Predictive Control (MPC) methodology is adopted to achieve autonomous self-healing control. Finally, we use a typical LEO satellite constellation as a case study to corroborate the results.
