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Autonomous navigation of lunar satellite based on the SEM orientation information via EKF

  • Yan Zhang*
  • , Wuxing Jing
  • *Corresponding author for this work
  • Harbin Institute of Technology

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

Abstract

Onboard autonomous navigation can significantly reduce the costs of the mission. This paper deals with the autonomous navigation of a lunar satellite based on the Sun's, the Earth's and the moon's (SEM) orientation information via Extend Kalman Filter (EKF). The initial orbit parameters for EKF are estimated by combining the geometric method with Gauss f-g methods. Navigation simulation of the lunar satellite in a circular polar orbit shows that the algorithm provides a position accuracy of better than 1.337 kilometers and velocity accuracy of better than 0.9256 meter per second.

Original languageEnglish
Title of host publication2006 Chinese Control Conference Proceedings, CCC 2006
PublisherIEEE Computer Society
Pages2244-2247
Number of pages4
ISBN (Print)7810778021, 9787810778022
DOIs
StatePublished - 2006
Event25th Chinese Control Conference, CCC 2006 - Harbin, China
Duration: 7 Aug 200611 Aug 2006

Publication series

Name2006 Chinese Control Conference Proceedings, CCC 2006

Conference

Conference25th Chinese Control Conference, CCC 2006
Country/TerritoryChina
CityHarbin
Period7/08/0611/08/06

Keywords

  • Autonomous navigation
  • Extend Kalman filter
  • Lunar satellite

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