Kalman filter-based model predictive control for drag-free satellite under actuator failures and input saturations

This paper studies the problem of fault-tolerant control for the drag-free satellite subject to actuator failures and input saturations. Particularly, a new Kalman filter-based model predictive control method for the drag-free satellite is proposed. Based on the developed dynamic model and the Kalma...

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Bibliographic Details
Published inReview of scientific instruments Vol. 94; no. 3; pp. 034502 - 34512
Main Authors Yang, Jikun, Zhang, Jinxiu, Wang, Jihe, Tao, Wenjian
Format Journal Article
LanguageEnglish
Published United States American Institute of Physics 01.03.2023
Subjects
Actuator failure
Control methods
Control systems design
Drag
Dynamic models
Fault tolerance
Kalman filters
Noise measurement
Predictive control
Robust control
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Summary:This paper studies the problem of fault-tolerant control for the drag-free satellite subject to actuator failures and input saturations. Particularly, a new Kalman filter-based model predictive control method for the drag-free satellite is proposed. Based on the developed dynamic model and the Kalman filter strategy, a new fault-tolerant design scheme is presented for the challenging situation where the satellite is subject to measurement noise and external disturbance. With the designed controller, the robustness of the system can be guaranteed, and the problem caused by actuator constraints and faults can be solved. Finally, the correctness and effectiveness of the proposed method are verified by numerical simulations.
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ISSN:0034-6748
1089-7623
1089-7623
DOI:10.1063/5.0136994