
A Framework of High-precision State Estimation for Approaching, Orbiting, and Touching an Asteroid
Author(s) -
Zishuo Liu,
X Chen,
X Li,
Feng-kai Jia
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2239/1/012007
Subject(s) - asteroid , spacecraft , orbit (dynamics) , computer science , satellite , phase (matter) , state (computer science) , orientation (vector space) , estimation , control theory (sociology) , geodesy , aerospace engineering , physics , geology , artificial intelligence , algorithm , engineering , mathematics , astronomy , control (management) , geometry , quantum mechanics , systems engineering
High-precision state estimation lies at the core of asteroid exploration. This paper investigates the high-precision state estimation methods in asteroid approaching, orbiting, and touching phases. The system and measurement models are established, and state estimation strategies are designed respectively for each phase. In the approaching phase, the star image is used to directly determine the relative orbit of the spacecraft to the target asteroid. To improve the optical state estimation precision, a deceleration-orientation-deceleration strategy is developed. In the orbiting phase, coupled orbit-attitude estimation is realized based on the terrain features of the asteroid, and the effect of dynamic error on the accuracy of state estimation is analysed. Then, a decoupled orbit-attitude state estimation method is developed to avoid the affection of dynamic error. In the touching phase, lidar measurement is used to determine the relative orbit and attitude of the spacecraft with respect to the landing spot. Based on the triple-stage state estimation framework proposed in this paper, the relative state error of the spacecraft converges from 100km level to 1mm level.