Multiple Model Trajectory Generation for Uncertain Target Spin Direction

被引:0
|
作者
Sternberg, David [1 ]
机构
[1] Jet Prop Lab, 4800 Oak Grove Dr, Pasadena, CA 91109 USA
关键词
D O I
暂无
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Multiple concepts have emerged that require the docking of two or more spacecrafts, including autonomous robotic servicing and assembly of orbiting assets, and the active removal of space debris. Successful dockings require that the Target's spin rate and direction be determined so that approach trajectories may be computed. Remote sensing from ground stations or distant satellite observations can provide important data for the Chaser satellite, such as the spin rate or amount of tumbling by the Target. Optical light curves are a basic method of determining the period of a Target's rotation. To avoid recomputing the approach trajectory based on updated spin rate or direction data and reduce the computational complexity required to generate a fuel efficient approach trajectory, a means of generating trajectories robust to the spin direction must be developed. This paper presents the multiple model approach, in which training models representing potential spin rates and directions are weighted by their likelihood of representing the true behavior of the Target, for synchronous trajectories. While not fuel or time optimal, the synchronous multiple model trajectory keeps the docking location in the field of view of the Chaser's rendezvous sensors throughout the trajectory while trading performance from the nominal model for robustness across a range of models. Further, the Targets in this analysis are taken to be rigid, uncooperative, and passively tumbling. The paper presents the application of the multiple model approach to docking trajectory generation. In doing so, it compares both the optimal approach trajectory and robust, multiple model trajectory for uncertainty in the spin direction. This paper also assesses several tuning parameters that engineers may use to trade the computational complexity, fuel cost, and robustness of the resulting multiple model trajectory for use in future missions. The processes discussed in the paper therefore can be applied to additional future mission scenarios beyond the case study of a single Chaser approaching a single Target.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Multiple Moving Target Tracking with Hypothesis Trajectory Model for Autonomous Vehicles
    Mei, Weijie
    Xiong, Guangming
    Gong, Jianwei
    Yong, Zhai
    Chen, Huiyan
    Di, Huijun
    2017 IEEE 20TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2017,
  • [2] Target model generation from multiple SAR images
    Richards, JA
    Fisher, JW
    Willsky, AS
    ALGORITHMS FOR SYNTHETIC APERTURE RADAR IMAGERY VI, 1999, 3721 : 598 - 611
  • [3] Generalizing Over Uncertain Dynamics for Online Trajectory Generation
    Kim, Beomjoon
    Kim, Albert
    Dai, Hongkai
    Kaelbling, Leslie
    Lozano-Perez, Tomas
    ROBOTICS RESEARCH, VOL 2, 2018, 3 : 39 - 55
  • [4] Fuzzy description model for uncertain direction relation
    School of Resource and Environment Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
    不详
    不详
    Geomatics Inf. Sci. Wuhan Univ., 2008, 3 (257-260): : 257 - 260
  • [5] Empirical Model for Predicting Rockfall Trajectory Direction
    Asteriou, Pavlos
    Tsiambaos, George
    ROCK MECHANICS AND ROCK ENGINEERING, 2016, 49 (03) : 927 - 941
  • [6] Empirical Model for Predicting Rockfall Trajectory Direction
    Pavlos Asteriou
    George Tsiambaos
    Rock Mechanics and Rock Engineering, 2016, 49 : 927 - 941
  • [7] A New Trajectory Generation Scheme for Direction Turning in Biped Walking
    Kim, Man-Seok
    Kim, Jo-Hwan
    Choi, Min-Goo
    Kim, Jong-Wook
    JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS, 2010, 14 (05) : 550 - 554
  • [8] Uncertain Visual Target Tracking by Hierarchical Combination of Multiple Target State Space Model and Self Organizing Map
    Ikoma, Norikazu
    2019 22ND INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION 2019), 2019,
  • [9] Multi-satellite flyby trajectory planning for uncertain target search
    Wang, Ke-Mao
    Zhang, Jin
    Sun, Xue
    Gao, Lin-Tao
    ACTA ASTRONAUTICA, 2025, 228 : 58 - 68
  • [10] On consensus algorithms of multiple uncertain mechanical systems with a reference trajectory
    Dong, Wenjie
    AUTOMATICA, 2011, 47 (09) : 2023 - 2028