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人工智能在航天器制导与控制中的应用综述

发布日期: 2021-06-10 | 浏览次数: 363
人工智能在航天器制导与控制中的应用综述

黄旭星1, 李爽1, 杨彬1, 孙盼1, 刘学文1, 刘新彦2                          

1. 南京航空航天大学 航天学院, 南京 210016;
2. 北京控制工程研究所, 北京 100190


Spacecraft guidance and control based on artificial intelligence: Review

HUANG Xuxing1, LI Shuang1, YANG Bin1, SUN Pan1, LIU Xuewen1, LIU Xinyan2        

1. College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China;
2. Beijing Institute of Control Engineering, Beijing 100190, China                                                    

摘要: 航天器制导与控制技术是保障空间任务顺利实施的关键技术之一。当前,动力学模型的强非线性以及参数不确定性制约了高精度姿轨控技术的发展,而系统故障则决定航天器姿轨控的成败。以机器学习为代表的新一代人工智能技术航天器制导控制领域展现了巨大的应用潜力。首先对基于人工智能技术的轨迹制导和姿态控制中的研究发展及应用现状进行归纳,分析航天器轨迹规划、姿态控制、故障诊断以及容错控制技术的发展趋势。然后,从鲁棒轨迹规划、自适应姿态控制、快速故障诊断和自适应容错控制等4个方面总结适用于未来航天任务的航天器姿轨控关键技术。最后,针对智能姿轨控技术的应用所面临的挑战,从姿轨控架构、算法最优性、算法的训练以及技术验证等方面提出相应的发展建议。

关键词: 人工智能, 轨迹制导, 姿态控制, 智能制导, 自适应控制, 故障诊断, 容错控制

Abstract: Spacecraft guidance and control technology is one of the key technologies to ensure successful implementation of space missions. Currently, the strong nonlinearity of dynamic models and the uncertainty of parameters restrict the development of high-precision attitude and orbit control technology, while the system failure determines the success or failure of the spacecraft attitude and orbit control. The new generation of artificial intelligence technology represented by machine learning shows tremendous potential in the field of spacecraft guidance and control. This paper first summarizes the research development and application status of trajectory guidance and attitude control based on artificial intelligence technology, and analyzes the development trend of spacecraft trajectory planning, attitude control, fault diagnosis and fault-tolerant control technology. Then, from the four aspects of robust trajectory planning, adaptive attitude control, rapid fault diagnosis, and adaptive fault tolerance control, the key technologies of spacecraft attitude and orbit control suitable for future space missions are reviewed. Finally, according to the challenges faced by the application of intelligent navigation and control technology, corresponding development suggestions are proposed in terms of strategy construction, algorithm optimality, training and technical verification.

Key words: artificial intelligence, trajectory guidance, attitude control, intelligence guidance, adaptive guidance, fault diagnosis, fault tolerant control

                                                    


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