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CEAS EuroGNC 2024 |
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Improving satellite inertia identification with an observability-based EKF |
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| Abstract: In this paper, the problem of identifying the inertia matrix of a satellite when the input data can be of low observability is tackled. The confidence in the final estimation is of high importance and is harder to assess when a high observability is not guaranteed on every part of the whole dataset. This paper proposes a method that enhances the knowledge of the reliability of the identification process. An extended Kalman filter with variable covariance is implemented and tested with high-fidelity simulator data. | ||||
| Keywords: Identification; Inertia; Satellite attitude control | ||||
 View PDF CEAS-GNC-2024-027 |
| Hélène Evain, Stéphanie Delavault: Improving satellite inertia identification with an observability-based EKF. Proceedings of the 2024 CEAS EuroGNC conference. Bristol, UK. June 2024. CEAS-GNC-2024-027. |
| BibTeX entry: @Incollection{CEAS-GNC-2024-027, author = {Evain, Hélène and Delavault, Stéphanie}, title = {Improving satellite inertia identification with an observability-based EKF}, booktitle = {Proceedings of the 2024 {CEAS EuroGNC} conference}, address = {Bristol, UK}, month = jun, year = {2024}, note = {CEAS-GNC-2024-027} } |