Vision-based IMM-UKF spacecraft relative position and attitude determination algorithm

Xiaokui Yue, Bin Li, Kai Zhao

科研成果: 期刊稿件文章同行评审

1 引用 (Scopus)

摘要

In the process of spacecraft relative navigation, the relative distance measurement information is susceptible to disturbances, which results in great uncertainty of measurement error. In general, filtering algorithm based on a single model cannot identify the noise and it is difficult to obtain accurate navigation results. As for the limitation of circle orbit assumption, close-relative motion equation (Lawden equation) was studied in the inertial coordinate system using Clohessy-Wiltshire (C-W) equation, and the two equations were established based on the model set. Considering the characteristics of the navigation sensors, a vision-based dynamical algorithm of relative position and attitudes estimation using interacting multiple model (IMM-UKF) algorithm was designed based on the Rodrigues parameters and UKF filtering algorithm. The stability and precision of the relative orbit and attitudes determination are certified by using this algorithm under the condition of computation efficiency guarantee.

源语言英语
页(从-至)7-14
页数8
期刊Zhongguo Kongjian Kexue Jishu/Chinese Space Science and Technology
32
3
DOI
出版状态已出版 - 6月 2012

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