Performance analysis of attitude determination and estimation algorithms applied to low earth orbit satellites
| Autor: | H. Boussadia, M. A. Si Mohammed, A. Bellar, Akram Adnane |
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| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Engineering Observer (quantum physics) business.industry Mode (statistics) 02 engineering and technology Kalman filter Least squares Extended Kalman filter 020303 mechanical engineering & transports 020901 industrial engineering & automation 0203 mechanical engineering Control theory Satellite State observer business Algorithm Alpha beta filter |
| Zdroj: | 2016 UKACC 11th International Conference on Control (CONTROL). |
| Popis: | The main goal of this work is to examine the performance analysis of attitude determination and estimation algorithms applied to Low Earth Orbit Satellite in terms of execution time and accuracy. This performance analysis could be useful to the designer to choose from an attitude determination, attitude estimation or attitude observer algorithms. Least Squares, Q-Method, TRIAD, Extended Kalman Filter, Sliding Mode Observer are performed during the analysis performance. Numerical analysis clearly indicates that the Sliding Mode Observer is the more logical choice in terms of time consuming and accuracy. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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