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Hybrid supervision scheme for satellite attitude control with sensor faults

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Abstract

In modern aerospace engineering, fault-tolerant control (FTC) has become increasingly vital for maintaining spacecraft functionalities, including attitude control. The attitude determination module incorporates data from different sensors. Star trackers and gyroscopes provide attitude and angular rate measurements affected by noise. To minimize the latter, the so-called gyro-stellar estimator exploits optimal state estimation such as Kalman filters. However, gyros are subject to drifts which beyond some limits could affect estimator convergence. In this paper, a hybrid supervision scheme is proposed for attitude control affected by gyroscope faults. The data-driven fault detection and identification (FDI) module localizes and coarsely identifies the emerging drift. Then, the supervision system reconfigures the gyro-stellar estimator and updates the controller gains to guarantee FTC capability. The final hybrid system ensures attitude control function until fine-tuning is performed by attitude determination and control engineers. Simulation results with in-orbit data validate the effectiveness of the proposed approach.

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Data availability

Considering that the case study in this paper is related to real space mission, data (injected fault and reference trajectory) will be made available upon reasonable request to the corresponding author.

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Acknowledgements

The attitude of reference and telemetry data used in this work is an offering from the Algerian space agency (ASAL) control team.

Funding

This work is funded by “Direction Générale de la Recherche Scientifique et du Développement Technologique”, Algeria. (DGRSDT).

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Authors and Affiliations

  1. LAGE Laboratory, Kasdi Merbah University, Ouargla, Algeria

    Hicham Henna, Houari Toubakh & Mohamed Redouane Kafi

  2. CERI SN, IMT Nord-Europe, Douai, France

    Moamar Sayed-Mouchaweh

  3. LAMIH, CNRS, UMR-8201, INSA HdF UPHF, Valenciennes, France

    Mohamed Djemai

  4. QUARTZ Laboratory EA 7393, ENSEA, Cergy, France

    Mohamed Djemai

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  1. Hicham Henna
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Correspondence to Hicham Henna.

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Henna, H., Toubakh, H., Kafi, M.R. et al. Hybrid supervision scheme for satellite attitude control with sensor faults. CEAS Space J (2024). https://doi.org/10.1007/s12567-024-00548-w

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