国防科技大学学报2026，Vol.48Issue(3)：182-200,19.DOI:10.11887/j.issn.1001-2486.26020002
卫星集群发展现状与轨迹规划方法综述
Review on the development status of satellite clusters and trajectory planning methods
摘要
Abstract
Satellite clusters,as a distributed collaborative spacecraft system,possess significant application value in areas such as Earth observation,on-orbit assembly,and deep space exploration.Given the constraints of the dynamic space environment and limited on-orbit computing resources,the primary challenge is to devise an effective technique for cluster trajectory planning to ensure the successful execution of cluster tasks.Based on typical satellite cluster systems both domestically and internationally,related application scenarios and developmental tendencies were summarized.The development status of satellite cluster trajectory planning methods was comprehensively elaborated.From the perspectives of Euclidean space and manifold space,the advantages and disadvantages of existing methods were discussed.Starting from recent popular machine learning techniques,the development status of satellite cluster trajectory planning methods that combine deep learning and reinforcement learning with traditional approaches was introduced.Finally,the challenges were encapsulated,and future research avenues were anticipated.关键词
卫星集群/轨迹规划/直接法/间接法/微分几何/机器学习Key words
satellite cluster/trajectory planning/direct method/indirect method/differential geometry/machine learning分类
航空航天引用本文复制引用
周恒,王璟贤,赵勇,白玉铸,陈致钧,陈荣..卫星集群发展现状与轨迹规划方法综述[J].国防科技大学学报,2026,48(3):182-200,19.基金项目
国家自然科学基金资助项目(12502410,12472047,62401597) （12502410,12472047,62401597）
天基智能信息处理全国重点实验室基金资助项目(TJ-03-25-01) （TJ-03-25-01）
国防科技大学青年自主创新科学基金资助项目(ZK25-67) （ZK25-67）
