航天器轨道规避仿真建模策略优化研究综述

doi:10.16182/j.issn1004731x.joss.25-0277

摘要/Abstract

摘要：

在轨航天器数量指数级增长，空间环境更加复杂，在轨航天器碰撞风险显著增大，在轨安全受到了严峻威胁，对轨道规避方法提出了更高要求。航天活动成本和风险极高，仿真成为解决轨道规避复杂问题的有效方法。对航天器轨道规避两大核心问题“碰撞规避”和“追逃博弈”的建模、求解和仿真方法进行了系统梳理，并分析存在的不足。介绍了深度强化学习等技术在推动轨道规避建模与仿真等方面的应用。

关键词: 航天器, 轨道规避, 碰撞规避, 追逃博弈, 强化学习

Abstract:

The number of on-orbit spacecraft increases exponentially; the space environment becomes more complex, and the collision risk of on-orbit spacecraft increases significantly. On-orbit safety is thus severely threatened, posing higher requirements for orbit avoidance methods. The costs and risks of space activities are extremely high, making simulation an effective method to solve complex problems of orbit avoidance. The modeling, solution, and simulation methods for the two core issues of spacecraft orbit avoidance, "collision avoidance" and "pursuit-evasion games", were systematically reviewed, and the existing shortcomings were analyzed. The applications of technologies such as deep reinforcement learning in promoting orbit avoidance modeling and simulation were introduced.

Key words: spacecraft, orbit avoidance, collision avoidance, pursuit-evasion game, reinforcement learning

中图分类号:

李国政,王锐,范士超等 . 航天器轨道规避仿真建模策略优化研究综述[J]. 系统仿真学报, 2026, 38(4): 855-868.

Li Guozheng,Wang Rui,Fan Shichao,et al . Review on Optimization of Simulation Modeling Strategies for Spacecraft Orbit Avoidance[J]. Journal of System Simulation, 2026, 38(4): 855-868.

图/表 6

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