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