Reconfigurable Fault-Tolerant Control for Spacecraft Formation Flying Based on Iterative Learning Algorithms

This paper investigates the issues of iterative learning algorithm-based robust thruster fault reconstruction and reconfigurable fault-tolerant control for spacecraft formation flying systems subject to space perturbations. Motivated by sliding mode methodology, a novel iterative learning observer (...

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Bibliographic Details
Published in:Applied sciences 2022-03, Vol.12 (5), p.2485
Main Authors: Gui, Yule, Jia, Qingxian, Li, Huayi, Cheng, Yuehua
Format: Article
Language:English
Subjects:
Algorithms
Bias
Configurations
Control algorithms
Control theory
Fault diagnosis
fault reconstruction
Fault tolerance
fault-tolerant control
Formation flying
Ground stations
iterative learning observer
learning output–feedback control
Observational learning
Optimization techniques
Reconfiguration
Satellites
Sliding mode control
Spacecraft
spacecraft formation
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Summary:This paper investigates the issues of iterative learning algorithm-based robust thruster fault reconstruction and reconfigurable fault-tolerant control for spacecraft formation flying systems subject to space perturbations. Motivated by sliding mode methodology, a novel iterative learning observer (ILO) was developed to robustly reconstruct the thruster faults. Based on the fault signals obtained from the ILO, a learning output–feedback fault-tolerant control (LOF2TC) approach was explored such that the closed-loop spacecraft formation configuration was accurately maintained in the presence of space perturbations and thruster faults. Numerical simulations were employed to demonstrate the effectiveness and superiority of the proposed ILO-based fault-reconstructing approach and LOF2TC-based configuration maintenance approach for spacecraft formation flying systems.
ISSN:2076-3417
2076-3417
DOI:10.3390/app12052485