This thesis presents the design of Kalman filter based attitude determination
algorithms for a hypothetical LEO satellite and for a satellite attitude control test
setup.
For the hypothetical LEO satellite, an Extended Kalman Filter based attitude
determination algorithms are formed with a multi-mode structure that employs the
different sensor combinations and as well as online switching between these
combinations depending on the sensor availability. The performance of these
different attitude determination modes are investigated through Monte Carlo
simulations. New attitude determination algorithms are prepared for the satellite
attitude control test setup by considering the constraints on the selection of the
suitable sensors. Here, performances of the Extended Kalman Filter and Unscented
Kalman Filter are investigated. It is shown that robust and sufficiently accurate
attitude estimation for the test setup is achievable by using the Unscented Kalman
Filter.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12610041/index.pdf |
| Date | 01 October 2008 |
| Creators | Kutlu, Aykut |
| Contributors | Tekinalp, Ozan |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | M.S. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for public access |
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