### Spacecraft autonomous navigation with cubature Kalman filter based on sun-earth-moon information#br#

DENG Guanghui1, LIAO Zhuofan1, ZHU Rong2,3, WANG Jiongqi2,*

1. 1. Hunan Provincial Key Laboratory of Intelligent Processing of Big Data onTransportation, School of Computer and Communication Engineering, C hangsha University of Science and Technology, Changsha 410004, China
2. College of Science, National University of Defense Technology, Changsha 410073, China
3. PLA91550, Dalian 116023, China
• Received:2017-03-16 Accepted:2018-01-15 Online:2018-02-25 Published:2020-02-12

Abstract:

High-precision and all-time spacecraft autonomous navigation is the development direction in the space technology application, and is also the foundation for the actual on-orbit application for the spacecraft. An autonomous navigation algorithm for spacecraft base on the astronomical information of the sun, the earth and the moon was researched. Firstly, by using the dynamics equations and the angles between the spacecraft, the earth, the sun and the moon, as well as the distance between the spacecraft and the earth as the state model and observation model respectively, the navigation system was established. Then, the autonomous navigation algorithm was presented. When the sun and the moon were observable, the autonomous navigation through the nonlinear cubature Kalman filter (CKF) was adopted; and the high-precise orbit prediction algorithm was used to predict the orbit by using the track dynamics directly during the eclipse. Finally, the numerical simulation was provided. Results show that the positioning accuracy of this method is lower than 2km, which is enough to satisfy the autonomous navigation.

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