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In-orbit data driven parameter estimation for attitude control of satellites

Abstract : The system identification for satellite attitude control is investigated in this thesis. Several parameter estimation algorithms are developed and adapted to the different types of sensor (gyroscope or star tracker). These algorithms allow to estimate, from the telemetry data, the satellite inertia matrix as well as the actuator alignments. For these estimation algorithms, an instrumental variable approach is considered. Filters are designed in order to significantly improve the accuracy and precision of the estimates, even in presence of sensor noise and disturbance torques. The performances of the proposed algorithms are analyzed and validated via Monte Carlo simulations using data from a high-fidelity simulator from CNES. The second main contribution concerns the optimization of maneuvers to improve the information content in the data, while respecting the physical constraints of the satellite. The effectiveness of the generated trajectory is evaluated both via Monte Carlo simulations and through real experiments in a zero-gravity environment.
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Submitted on : Friday, September 25, 2020 - 2:59:14 PM
Last modification on : Thursday, March 17, 2022 - 11:11:17 AM
Long-term archiving on: : Thursday, December 3, 2020 - 6:01:05 PM


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  • HAL Id : tel-02949320, version 1


Carlo Nainer. In-orbit data driven parameter estimation for attitude control of satellites. Automatic. Université de Lorraine, 2020. English. ⟨NNT : 2020LORR0058⟩. ⟨tel-02949320⟩



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