论文标题
分布式分散的分散化退化的地平线控制，用于非常大规模网络，并应用于卫星巨型构造
Distributed decentralized receding horizon control for very large-scale networks with application to satellite mega-constellations
论文作者
论文摘要
在非常大规模网络上，控制算法的实现可行性要求对通信，计算和内存需求进行严格的约束。在本文中，解决了具有常见（可能时间变化的控制目标）的非常大规模网络的分散式退化的视野控制问题。假定每个系统都是通过线性时间变化的动力学来建模的，可以将其利用到有关连续操作点的近似非线性系统。提出了一个分布式和分散的退化的视野控制解决方案，其中：i）考虑了通信延迟； ii）仅允许本地沟通； iii）每个计算单元中的计算和内存需求并不随网络的维度扩展。所提出的解决方案的可伸缩性使群体机器人技术和网络控制的非常大规模的应用。这种方法应用于低地球轨道巨型构造的轨道控制问题，该方法具有高保真数值模拟，用于Starlink Mega-Costellation。
The implementation feasibility of control algorithms over very large-scale networks calls for hard constraints regarding communication, computational, and memory requirements. In this paper, the decentralized receding horizon control problem for very large-scale networks of dynamically decoupled systems with a common, possibly time-varying, control objective is addressed. Each system is assumed to be modeled by linear time-varying dynamics, which can be leveraged to approximate nonlinear systems about successive points of operation. A distributed and decentralized receding horizon control solution is put forward, which: i) takes communication delays into account; ii) allows local communication exclusively; and iii) whose computational and memory requirements in each computational unit do not scale with the dimension of the network. The scalability of the proposed solution enables emerging very large-scale applications of swarm robotics and networked control. This approach is applied to the orbit control problem of low Earth orbit mega-constellations, featuring high-fidelity numerical simulations for the Starlink mega-constellation.
