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

Xiaokui Yue, Bin Li, Kai Zhao

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)7-14
Number of pages8
JournalZhongguo Kongjian Kexue Jishu/Chinese Space Science and Technology
Volume32
Issue number3
DOIs
StatePublished - Jun 2012

Keywords

  • Interacting multiple model
  • Relative position and attitudes
  • Vision-based navigation

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