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High precision attitude estimation algorithm using three star trackers

  • Binglong Chen*
  • , Yunhai Geng
  • , Xu Yang
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents an attitude estimation algorithm for the satellite with three star trackers. The attitude estimation accuracy can be improved by modifying attitude matrix with measurement data from other star trackers. The attitude determination algorithm with two star trackers was reviewed firstly, then a modified attitude estimation algorithm using three star trackers is proposed to enhance the precision of the attitude estimation. The extended Kalman filter is used to estimate the attitude of the nonlinear satellite system, and a federated configuration is adopted to process the estimated states and covariance matrices for high accuracy attitude estimation. Using the proposed algorithm, the satellite can perform missions continuously. A mathematical simulation is performed to verify the effectiveness of the adoption attitude estimation algorithm, using a designed PD controller and five reaction wheels as the attitude control system; three star trackers mounted with a titled angle as the measuring system and federated extended Kalman filters as the attitude determination system.

Original languageEnglish
Title of host publicationWCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation
Pages4168-4173
Number of pages6
DOIs
StatePublished - 2012
Event10th World Congress on Intelligent Control and Automation, WCICA 2012 - Beijing, China
Duration: 6 Jul 20128 Jul 2012

Publication series

NameProceedings of the World Congress on Intelligent Control and Automation (WCICA)

Conference

Conference10th World Congress on Intelligent Control and Automation, WCICA 2012
Country/TerritoryChina
CityBeijing
Period6/07/128/07/12

Keywords

  • Attitude estimation algorithm
  • EKF
  • PD control
  • star tracker

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