Review on Optimization of Simulation Modeling Strategies for Spacecraft Orbit Avoidance

Authors

• Guozheng Li, College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
• Rui Wang, College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
• Shichao Fan, Department of Management and Support, National University of Defense Technology, Changsha 410073, China
• Xintong Cai, College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
• Xinyue Zhai, School of Law, Xiamen University, Xiamen 361005, China

Abstract

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.

Recommended Citation

Li, Guozheng; Wang, Rui; Fan, Shichao; Cai, Xintong; and Zhai, Xinyue (2026) "Review on Optimization of Simulation Modeling Strategies for Spacecraft Orbit Avoidance," Journal of System Simulation: Vol. 38: Iss. 4, Article 2.
DOI: 10.16182/j.issn1004731x.joss.25-0277
Available at: https://dc-china-simulation.researchcommons.org/journal/vol38/iss4/2

First Page

855

Last Page

868

CLC

V57; TP391

Recommended Citation

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.

Corresponding Author

Wang Rui

DOI

10.16182/j.issn1004731x.joss.25-0277