UKF for the identification of the pico satellite attitude dynamics parameters and the external torques on IMU and magnetometer measurements

Halil Ersin Söken, Chingiz Hajiyev

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

12 Citations (Scopus)

Abstract

In this study, an Unscented Kalman Filter (UKF) algorithm, which integrates mathematical model of the attitude dynamics with the measurements of Inertial Measurement Unit (IMU) and the magnetometers, is designed. The identified vector is arranged from the Euler angles, angular rates, and the unknown constant components of the external torques (the gravity-gradient, magnetic field pressure and the sun radiation) acting on the pico satellite. Because of the inherent nonlinear dynamics and the nonlinear measurement model caused by the magnetometer measurements, UKF is selected as a filter algorithm. Performance of the proposed algorithm is demonstrated via simulations for a cube pico satellite.

Original languageEnglish
Title of host publicationRAST 2009 - Proceedings of 4th International Conference on Recent Advances Space Technologies
Pages547-552
Number of pages6
DOIs
Publication statusPublished - 2009
Event4th International Conference on Recent Advances in Space Technologies 2009, RAST '09 - Istanbul, Turkey
Duration: 11 Jun 200913 Jun 2009

Publication series

NameRAST 2009 - Proceedings of 4th International Conference on Recent Advances Space Technologies

Conference

Conference4th International Conference on Recent Advances in Space Technologies 2009, RAST '09
Country/TerritoryTurkey
CityIstanbul
Period11/06/0913/06/09

Keywords

  • Attitude parameters
  • Pico satellite
  • Torque identification
  • Unscented Kalman filter

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