智能微纳卫星集群自主协同控制技术的研究
Research on Autonomous Collaborative Control Technology of Intelligent Micro-Nano Satellite Cluster
摘要: 随着人们对空间领域的不断探究及应用,航天器在轨资源受限、单星作业能力受限、空间环境复杂等问题日益显著,研究智能微纳卫星集群自主协同控制技术成为解决这些问题的有效途径。该研究将突破自主协同完成复杂任务、学习经验数据提升系统性能、自主认知应对复杂环境等关键技术,促进微纳卫星集群的整体效能最大化,使卫星集群具备自主感知、推理、执行、演化等类人行为属性。为此,必须在梳理国内外对智能微纳卫星相关研究的基础上,整理出智能微纳卫星集群自主协同控制的概念内涵,分析出集群智能信息交互与通信、集群自主协同任务规划与决策、集群构型建立维持与重构技术、智能健康预测与管理四大关键技术的研究现状及发展趋势,以期为智能微纳卫星在轨应用的相关技术突破带来一定的借鉴作用。
Abstract: With the continuous exploration and application of the space field, the problems of limited spacecraft in orbit, limited single-satellite operation capacity, and complex space environment have become increasingly obvious, and the study of intelligent micro-nano satellite cluster autonomous collaborative control technology has become an effective way to solve these problems. This research will break through key technologies such as autonomous collaborative completion of complex tasks, learning experience data to improve system performance, and autonomous cognition to cope with complex environments, promote the overall efficiency of micro-nano satellite clusters, and make satellite clusters have human-like behavioral attributes such as autonomous perception, reasoning, execution, and evolution. To this end, on the basis of combing the relevant research on intelligent micro-nano satellites at home and abroad, it is necessary to sort out the conceptual connotation of autonomous collaborative control of intelligent micro-nano satellite clusters, and analyze the research status and development trend of four key technologies: cluster intelligent information interaction and communication, cluster autonomous collaborative task planning and decision-making, cluster configuration establishment, maintenance and reconstruction technology, and intelligent health prediction and management, in order to bring certain reference to the related technological breakthroughs of intelligent micro-nano satellites in orbit.
文章引用:肖金平, 王颖, 罗孙梅, 谢毅, 刘富强. 智能微纳卫星集群自主协同控制技术的研究[J]. 人工智能与机器人研究, 2023, 12(3): 226-235. https://doi.org/10.12677/AIRR.2023.123026

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