空间控制技术与应用2025，Vol.51Issue(2)：41-50,10.DOI:10.3969/j.issn.1674-1579.2025.02.004
基于动态主星机制的低轨巨型星群分组方法研究
Grouping Methods for Large-Scale LEO Constellations Based on Dynamic Master Satellite Mechanism
摘要
Abstract
The development of large-scale low Earth orbit(LEO)satellite constellations demonstrates significant potential in fields such as remote sensing,communication,and navigation.However,satellite mission planning and allocation in highly dynamic environments face substantial challenges.Existing fixed grouping strategies struggle to adapt to the rapid spatial topological changes of satellites and targets.Therefore,this paper proposes a dynamic master-satellite mechanism based grouping method for satellite clusters in large-scale LEO constellations.Satellite orbit models,observation targets,and cloud models are established according to the spatial and temporal distribution characteristics of LEO mega-constellations.A satellite cluster grouping method is designed,and an optimal grouping scheme minimizing master satellite switching frequency is obtained using discrete particle swarm optimization and genetic algorithms,achieving efficient multi-target allocation and scheduling.Research results indicate that this method significantly enhances the efficiency and responsiveness of task allocation,with genetic algorithms being more suitable for the selection of master satellites within satellite clusters.关键词
低轨大规模星座/动态主星机制/任务规划/星群分组Key words
large-scale LEO constellations/dynamic master satellite mechanism/mission planning/satellite cluster grouping引用本文复制引用
王潇,王淑一,孟繁多,邢晓宇..基于动态主星机制的低轨巨型星群分组方法研究[J].空间控制技术与应用,2025,51(2):41-50,10.基金项目
国家自然科学基金资助项目(U23B6002) National Natural Science Foundation of China(U23B6002) （U23B6002）
