Large-scale Rapid Evaluation for the Collision Risk of Mega Constellations

Zhengyu Pan, Tao Nie*, Pingyuan Cui

*此作品的通讯作者

科研成果: 期刊稿件会议文章同行评审

摘要

In recent years, low Earth orbit (LEO) mega constellations, composed of hundreds to thousands of satellites, have been proposed by commercial aerospace companies, such as OneWeb and SpaceX. To ensure the safe operation of constellations, it is essential to rapidly monitor and foresee collision risks in real time. Hence, a new method of calculating the satellite density is proposed based on the continuity equation (CE) to assess space collision risks over a large area quickly. The proposed method can eliminate the individual differences between space objects and provide an overall perspective of multiple satellites and orbits. Compared with a determined satellite orbit model, this method significantly reduces calculation time.The contributions of this paper mainly focus on two aspects. The proposed method constructs a density calculation model in the solution space of latitude and time. Different from existing methods which often express density as a function of other variables, such as true anomaly and time, distance and time, the satellite number density is more sensitive to the latitude which can describe the congestion more clearly. On the other hand, the proposed method considers J2 perturbation and atmospheric drag perturbation, which ascends the accuracy of the evolutionary analysis model. A high-precision and efficient long-term space object density evolution analysis model is constructed using differential algebra (DA) and semi-analytical mean orbital dynamics (SAMOD). The simulation results validate the effectiveness of the algorithm.

源语言英语
期刊Proceedings of the International Astronautical Congress, IAC
2023-October
出版状态已出版 - 2023
活动74th International Astronautical Congress, IAC 2023 - Baku, 阿塞拜疆
期限: 2 10月 20236 10月 2023

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