近距离卫星群相对导航与控制系统算法

A. Panferov, A. Nebylov, S. Brodsky
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引用次数: 1

摘要

在地球表面的两个或几个点之间提供最快的双向通信的问题被考虑。这种连接的传输延迟和成本应该是最小的。为了解决这个问题,可以使用一组在低轨道上运行的小而便宜的卫星作为中间点。本文讨论了在轨道上聚集群、稳定群、测量相对距离和方向的问题。为了降低系统的成本,期望使用最便宜的,因此不是很精确的相对坐标测量。为了保证可接受的精度,提出了一种基于更新序列谱密度分析的自适应滤波算法。利用这种方法得到的导航参数估计值,形成主动卫星质心运动的最优终端控制。微型发动机创造了控制力。通过仿真验证了理论结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Algorithm for Relative Navigation and Control Systems for Closely Spaced Satellite in a Group
The problem of providing the fastest two-way communication between two or several points on the Earth's surface is considered. The transport delay and the cost of such a connection should be minimal. To solve this problem as an intermediate point to be used a group of small and cheap enough satellites moving at low orbit. This article discusses the problem of gathering a group in orbit, stabilizing it, measuring relative distances and orientations. To reduce the cost of the system, it is expected to use the cheapest and therefore not very accurate, relative coordinate measures. To ensure acceptable accuracy, it is proposed to use a specially developed adaptive filtering algorithm based on the analysis of the spectral density of the updating sequence. The estimates of the navigation parameters obtained in this way are used to form the optimal terminal control of the motion by the center of mass of the active satellite. Miniature engines create the control forces. The theoretical results are confirmed by simulation.
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