Abstract
Singular Value Decomposition (SVD) and extended Kalman filter (EKF) are integrated earlier by authors in order to estimate the satellite's angular motion parameters about center of mass. The SVD-aided EKF algorithm is used in this study for estimation of the attitude angles and angular velocities. In the eclipse period, algorithm is switched into the prediction phase for better attitude estimation of the satellite; therefore, satellite's attitude angles when no data coming from the sun sensor are improved.
Original language | English |
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Title of host publication | Proceedings of 8th International Conference on Recent Advances in Space Technologies, RAST 2017 |
Editors | M.F. Unal, A. Hacioglu, M.S. Yildiz, O. Altan, M. Yorukoglu |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 397-401 |
Number of pages | 5 |
ISBN (Electronic) | 9781538616031 |
DOIs | |
Publication status | Published - 4 Aug 2017 |
Event | 8th International Conference on Recent Advances in Space Technologies, RAST 2017 - Istanbul, Turkey Duration: 19 Jun 2017 → 22 Jun 2017 |
Publication series
Name | Proceedings of 8th International Conference on Recent Advances in Space Technologies, RAST 2017 |
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Conference
Conference | 8th International Conference on Recent Advances in Space Technologies, RAST 2017 |
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Country/Territory | Turkey |
City | Istanbul |
Period | 19/06/17 → 22/06/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
Keywords
- Satellite attitude estimation
- attitude prediction
- extended Kalman filter
- magnetometer
- rate gyro
- sun sensor