[1]杨靖宇,高亮,李迪,等.共位监测卫星智能协同控制关键技术研究进展[J].智能系统学报,2022,17(6):1063-1073.[doi:10.11992/tis.202107050]
YANG Jingyu,GAO Liang,LI Di,et al.Advancements in the key technologies of intelligent cooperative control of co-location monitoring satellites[J].CAAI Transactions on Intelligent Systems,2022,17(6):1063-1073.[doi:10.11992/tis.202107050]
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YANG Jingyu,GAO Liang,LI Di,et al.Advancements in the key technologies of intelligent cooperative control of co-location monitoring satellites[J].CAAI Transactions on Intelligent Systems,2022,17(6):1063-1073.[doi:10.11992/tis.202107050]
共位监测卫星智能协同控制关键技术研究进展
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
17
期数:
2022年第6期
页码:
1063-1073
栏目:
综述
出版日期:
2022-11-05
- Title:
- Advancements in the key technologies of intelligent cooperative control of co-location monitoring satellites
- Keywords:
- co-location monitoring satellite; cooperative control; artificial intelligence; satellite formation; intelligent algorithm; onboard system; intelligentce; on-orbit training
- 分类号:
- TP18;V423.4
- 文献标志码:
- 2022-10-09
- 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。
- Abstract:
- 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.
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备注/Memo
收稿日期:2021-07-23。
基金项目: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）.
作者简介:杨靖宇，副教授，博士，中国人工智能学会会员，中国机械工程学会高级会员，主要研究方向为智能飞行器系统理论。发表学术论文20余篇;高亮，硕士研究生，主要研究方向为智能飞行器协同控制、深度学习;李迪，硕士研究生，主要研究方向为智能飞行器协同控制、分布式动力系统
通讯作者:杨靖宇.E-mail:jyyang@sau.edu.cn
更新日期/Last Update:
1900-01-01