共位监测卫星智能协同控制关键技术研究进展  

Advancements in the key technologies of intelligent cooperative control of co-location monitoring satellites

作　　者：杨靖宇[1,2] 高亮 李迪 李辰 YANG Jingyu;GAO Liang;LI Di;LI Chen(Intelligent Aircraft System Theory and Technology Laboratory,Shenyang Aerospace University,Shenyang 110136,China;Research Department,Shenyang Goddard Intelligent Equipment Technology Co.,Ltd.,Shenyang 110001,China)

机构地区：[1]沈阳航空航天大学智能飞行器系统理论与技术实验室,辽宁沈阳110136 [2]沈阳戈达德智能装备科技有限公司研发部,辽宁沈阳110001

出　　处：《智能系统学报》2022年第6期1063-1073,共11页CAAI Transactions on Intelligent Systems

基　　金：国家自然科学基金项目(51605308);辽宁省教育厅科学研究一般项目(JYT19057)。

摘　　要：随着深空探测及航天器智能化发展与应用,未来在轨智能协同控制将是关键性技术。本文首先讨论了卫星星载系统硬件设计的技术发展现状以及在监测卫星平台上应用的可行性;其次,面向未来卫星系统智能化发展要求,着重讨论了星载系统智能化现状与未来星载协同所具备的基本特性;再次,针对智能共位协同编队卫星群协同控制问题开展讨论,总结了在轨监测所需的关键技术实现路线;最后,针对卫星编队智能协同算法进行深入系统性分析,指出未来人工智能技术共位编队任务的应用可行性与良好前景。With the development of deep space exploration and spacecraft intelligence, intelligent cooperative control on an orbit will be a key future technology. First, this study discusses the current technology development status and the application of intelligent cooperative control on the monitoring satellite platform in terms of the hardware design of the satellite onboard system. Second, the development requirements of future satellite systems are discussed, focusing on the current situation of intelligent satellite systems and the basic characteristics of future satellite collaboration. Next, the problem of cooperative control of intelligent co-located cooperative formation satellite swarms and the key technical implementation routes required for in-orbit monitoring are discussed and summarized. Finally, an in-depth systematic analysis is conducted for the intelligent cooperative algorithm for satellite formation, highlighting the feasibility and good prospects of the AI technology’s application in future co-located formation tasks.

关 键 词：共位监测卫星 协同控制 人工智能 卫星编队 智能算法 星载系统 智能化 在轨训练 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] V423.4[自动化与计算机技术—控制科学与工程]