The Double Asteroid Redirect Test (DART) mission has achieved an in-orbit demonstration of man's first kinetic defense of near-Earth asteroids, which is a milestone for mankind's active defense of near-Earth asteroids in the future. According to public reports in the literature, the DART mission uses the extended Kalman filter algorithm as the filtering algorithm for relative navigation and a model that ignores relative acceleration for the guidance command calculation. In this paper, we first analyze the algorithms mentioned in the public literature, and then improve the navigation and guidance methods: the autonomous relative navigation method is designed using the target object line-of-sight angle measurement information to achieve fast and accurate estimation of position and velocity in the B-plane; the projected miss distance guidance method considering gravitational acceleration is designed using the autonomous relative navigation information to achieve high precision rendezvous. Finally, a typical mission scenario is designed with the real asteroid Bennu as the target, and multiple error sources are considered for simulation verification. The numerical simulation results show that the proposed method can achieve rendezvous accuracy of 5.22m (3σ) in a typical asteroid defense scenario, which is suitable for smaller size targets and higher accuracy rendezvous missions.
PU Yu-hao
,
CHENG Shi
,
CHEN Yang
. Research on Precise Relative Navigation and Guidance Methods for Asteroid Kinetic Defense Mission[J]. Journal of Space Science and Experiment, 2022
, 22(3)
: 60
-69
.
DOI: 10.19963/j.cnki.2096-4099.2022.03.007
[1] 龚自正. 李明. 陈川. 等. 小行星监测预警、安全防御和资源利用的前沿科学问题及关键技术[J/OL]. 科学通报, 2020, 65(05): 346-372. DOI:CNKI:SUN:KXTB.0.2020-05-007.
[2] Atchison Justin A,Jensenius Mark A,Chen Michelle H,et al. Double asteroid redirection test—mission design and navigation[J]. Proceedings of the International Syposium on Space Flight Mechanics, 2014(F).
[3] Chen M, Atchison J, Carrelli D,et al. Small–Body Maneuvering Autonomous Real–Time Navigation (SMARTNav): guiding a spacecraft to didymos for Nasa's Double Asteroid Redirection Test (DART)[C].AAS Guidance and Control Conference. 2018.
[4] 石勇. 韩崇昭. 自适应UKF算法在目标跟踪中的应用[J]. 自动化学报, 2011, 37(06): 755-759.
[5] Luo Zeyuan, Fu Zanhao, Xu Qiwei. An adaptive multi-dimensional vehicle driving state observer based on modified Sage-Husa UKF Algorithm[J/OL]. Sensors, 2020, 20(23): 6889. DOI:10.3390/s20236889.
[6] 张玉龙. 王茁. 杨巍. 基于极大似然估计的新息自适应滤波算法[J/OL]. 传感器与微系统, 2018, 37(01): 141-144. DOI:10.13873/J.1000-9787(2018)01-0141-04.
[7] 肖业伟. 谢小刚. 强跟踪抗差自适应滤波算法及其在无人机导航定位中的应用[J/OL]. 测绘通报, 2021(04): 64-67. DOI:10.13474/j.cnki.11-2246.2021.0112.
[8] Liu Wwenwen, LIU Yuanchang, Bucknall Richard. A robust localization method for Unmanned Surface Vehicle (USV) navigation using fuzzy adaptive kalman filtering[J/OL]. IEEE Access, 2019, 7: 46071-46083. DOI:10.1109/ACCESS.2019.2909151.
[9] Odry Ákos,Kecskens Istvan, Sarcevic Peter, et al. A novel fuzzy-adaptive extended kalman filter for real-time attitude estimation of mobile robots[J/OL]. Sensors, 2020, 20(3): 803. DOI:10.3390/s20030803.
[10] Federici Lorenza, Scorsoglio Andrea, Ghilaedi Luca, et al. Image-based meta-reinforcement learning for autonomous terminal guidance of an impactor in a binary asteroid system[J/OL]. AIAA SciTech Forum 2022, 2022. DOI:10.2514/6.2022-2270.
[11] Sage Andrew P, Husa Gary W, Adaptive filtering with unknown prior statistics[J/OL]. Joint Automatic Control Conference, 1969, 7: 760-769. DOI:10.1109/JACC.1969.4169325.
[12] 吕伟. 王艳东. Sage-Husa自适应卡尔曼滤波算法在SINS初始对准中的应用研究[J/OL]. 战术导弹控制技术, 2005(3): 52-55. DOI:10.3969/j.issn.1009-1300-B.2005.03.013.
[13] NEODyS[EB/OL].https://newton.spacedys.com/.2022-07-06.
