Attitude and attitude rate estimation for a nanosatellite using SVD and UKF

Demet Cilden, Chingiz Hajiyev, Halil Ersin Soken

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

21 Citations (Scopus)

Abstract

Singular value decomposition (SVD) method and unscented Kalman filter (UKF) are integrated to estimate the attitude and attitude rates of a nanosatellite recursively. First the SVD method minimizes the Wahba's loss function to find the optimal solution for the attitude on the basis of magnetometer and sun sensor vector measurements. Then the UKF uses this attitude information as the measurements for providing more accurate attitude estimates even when the satellite is in eclipse. The 'rotation angle error covariance matrix' calculated for the estimations of the SVD method are regarded as the measurement noise covariance for the UKF. Discussions for the UKF tuning are included specifically for the eclipse period where the SVD method fails and practically there is no measurements incoming to the filter.

Original languageEnglish
Title of host publicationRAST 2015 - Proceedings of 7th International Conference on Recent Advances in Space Technologies
EditorsM. Fevzi Unal, Suleyman Basturk, Okyay Kaynak, Abdurrahman Hacioglu, Fuat Ince
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages695-700
Number of pages6
ISBN (Electronic)9781467377607
DOIs
Publication statusPublished - 17 Aug 2015
Event7th International Conference on Recent Advances in Space Technologies, RAST 2015 - Istanbul, Turkey
Duration: 16 Jun 201519 Jun 2015

Publication series

NameRAST 2015 - Proceedings of 7th International Conference on Recent Advances in Space Technologies

Conference

Conference7th International Conference on Recent Advances in Space Technologies, RAST 2015
Country/TerritoryTurkey
CityIstanbul
Period16/06/1519/06/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

  • SVD
  • UKF
  • attitude estimation
  • nanosatellite

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