自动化学报2026，Vol.52Issue(3)：363-380,18.DOI:10.16383/j.aas.c250326
星群内外态势认知与安全控制的体系架构及理论方法
System Architecture and Theoretical Methods for Internal and External Situation Awareness and Security Control of Satellite Swarm
摘要
Abstract
This paper focuses on the critical strategic demands of next-generation space infrastructure system con-struction,exploring situational cognition and security control technologies for satellite swarm under complex mis-sion scenarios.It analyzes the developmental status and challenges of domestic and international satellite swarm,identifying current research deficiencies in completeness of theoretical frameworks,comprehensiveness of perceptual information,assessment credibility,decision-making rationality,and execution precision.The study emphasizes the OODA architecture system for satellite swarm,including perception and evaluation in situational cognition,as well as decision-making and collaborative execution in security control.Key technologies and research advancements in each operational phase are systematically discussed.Finally,prospects for future development in satellite swarm situational cognition and security control technologies are proposed:Establishing capability quantification models to achieve comprehensive situational awareness through multi-source information interaction and fusion,enabling cred-ible assessment under coupled internal/external influencing factors,realizing rapid and rational decision-making in dynamic scenarios,and accomplishing precise execution of multi-objective cross-scale tasks.These advancements aim to enhance the autonomous operational safety capabilities of satellite swarm,providing theoretical and technic-al foundations for next-generation space infrastructure construction.关键词
卫星集群/内外态势/感知评估/决策执行/安全控制/体系架构Key words
satellite swarm/internal and external situation/perception assessment/decision execution/security con-trol/system architecture引用本文复制引用
李文博,刘鹏,刘萍,刘成瑞,刘文静,马亚杰,薛文超,党庆庆..星群内外态势认知与安全控制的体系架构及理论方法[J].自动化学报,2026,52(3):363-380,18.基金项目
国家自然科学基金(62022013),姑苏创新创业领军人才计划(ZXL2023177),思源联盟基金(HTKJ2024SY502002)资助Supported by National Natural Science Foundation for China(62022013),Suzhou Municipal Science and Technology Bureau(ZXL2023177),and Siyuan Alliance Fund(HTKJ2024SY502002) （62022013）
