航空学报 > 2022, Vol. 43 Issue (10): 527351-527351   doi: 10.7527/S1000-6893.2022.27351

航天器多约束姿态规划与控制:进展与展望

胡庆雷1,2, 邵小东3, 杨昊旸1, 段超1   

  1. 1. 北京航空航天大学 自动化科学与电气工程学院, 北京 100191;
    2. 北京航空航天大学 杭州创新研究院(余杭), 杭州 311100;
    3. 北京航空航天大学 航空科学与工程学院, 北京 100191
  • 收稿日期:2022-04-30 修回日期:2022-05-18 发布日期:2022-06-17
  • 通讯作者: 邵小东,E-mail:xdshao_sasee@buaa.edu.cn E-mail:xdshao_sasee@buaa.edu.cn
  • 基金资助:
    国家重点研发计划(2021YFC2202600);国家自然科学基金(61960206011,62103027);北京市自然科学基金(JQ19017);中国博士后科学基金(2021M690300);空间智能控制技术重点实验室稳定支持项目(HTKJ2021KL502014);国防基础科研项目(JCKY2018203B022)

Spacecraft attitude planning and control under multiple constraints: Review and prospects

HU Qinglei1,2, SHAO Xiaodong3, YANG Haoyang1, DUAN Chao1   

  1. 1. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China;
    2. Beihang Hangzhou Innovation Institute (Yuhang), Beihang University, Hangzhou 310023, China;
    3. School of Aeronautic Science and Engineering, Beihang University, Beijing 100191, China
  • Received:2022-04-30 Revised:2022-05-18 Published:2022-06-17
  • Supported by:
    National Key Basic Research Program (2021YFC2202600);National Natural Science Foundation (61960206011, 62103027);Natural Science Foundation of Beijing (JQ19017);China Postdoctoral Science Foundation (2021M690300);Stable Supporting Fund of the Science and Technology on Space Intelligent Control Laboratory (HTKJ2021KL502014);National Defense Basic Scientific Research Program of China (JCKY2018203B022)

摘要: 随着人类航天活动日趋频繁,空间任务已经向多样化、无人自主化等方向发展,以在轨服务与维护、编队飞行以及深空探测等为代表的新兴空间任务,近年来受到了各航天大国的持续关注与投入。高可靠、高精度、强自主的姿态规划与控制技术是保障航天器安全顺利实施这些空间任务的关键核心。然而,航天器在轨运行过程中面临的各类约束为姿态规划与控制算法设计带来了巨大挑战。本文首先对复杂约束进行分析与表征,而后从约束处理机制角度对现有的多约束姿态规划与控制方法进行分类,梳理各个方案的研究脉络、优缺点及部分代表性成果,并总结关键技术领域的研究现状和亟需解决的难题。最后,针对中国航天未来发展需求,展望了航天器多约束姿态规划与控制的发展方向。

关键词: 航天器, 姿态规划, 姿态控制, 容错控制, 人工智能

Abstract: With the increasing frequency of human space activities, space missions are moving towards diversification and unmanned autonomy. In recent years, some emerging space missions, represented by on-orbit servicing, formation flight, and deep space exploration, have gained extensive attention and continued investment from major aerospace powers in the world. The attitude planning and control technology with high reliability, high precision and strong autonomy is core to ensuring that the spacecraft safely and successfully implements these space missions. However, multiple constraints encountered during the spacecraft on-orbit operation pose significant challenges to attitude planning and control algorithm design. In this paper, complex constraints are first analyzed and characterized. Then, the existing attitude planning and control methods are classified in terms of constraint processing mechanisms. After that, the research context and advantages and disadvantages of each method are sorted out, and some representative results are reviewed. Furthermore, the state of art and urgent challenges in critical research areas are summarized. Finally, considering the major demands of China's aerospace industry, the developing direction of spacecraft attitude planning and control under multiple constraints is discussed.

Key words: spacecraft, attitude planning, attitude control, fault-tolerant control, artificial intelligence

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