Fault-tolerant control for multiple networked spacecraft under actuator saturation

Dong, Ning; Yuan, Binbin; Lu, Pingli

doi:10.1177/0954410016640824

Cited by 3 publications

(2 citation statements)

References 33 publications

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“…More and more DT-based diagnosis techniques [36][37] [38] have been used in the aerospace industry. With the introduction of various methods such as machine learning and big data analysis, many algorithms for prediction have emerged on this basis, such as Expert system [39], Neural network [40], Bayesian network [41][42], Fault tree [43], Support vector machine [39][42], Rough set theory [44], Genetic algorithm [45], etc. Combined with the system model, the algorithms are used to evaluate the cause of the failures, and corresponding correction measures for the physical entities are taken.…”

Section: B Autonomous Operation and Maintenancementioning

confidence: 99%

Application Status and Prospect of Digital Twin for On-Orbit Spacecraft

Zheng

Li²

2021

IEEE Access

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With cloud computing, big data, artificial intelligence and other new information technologies going into space, the era of space intelligence is coming. At the same time, the spacecraft is facing more frequent and multi-task tests in an unprecedented complex environment, which set higher requirements for self-management. The current challenge lies in how to further build an integrated system of the virtual and real space for spacecraft to achieve intelligent interactive control and management. In this tendency, the integration of Digital twin(DT) with spacecraft is also in its evolutionary trend. DT provides a data and modelbased systematic approach for operation and management in the entire service life of on-orbit spacecraft. In this context, as a basic space system entity, the method of constructing DT of spacecraft is explored in this paper. Firstly, the concept of Spacecraft Digital twin (SDT) is put forward and four stages of simulation development are discussed from the perspective of DT. Moreover, the conceptual structure of fourdimensional model is proposed. After that, the key problems of SDT twin are discussed, including data acquisition, system configuration, and data service model. Accordingly, the future intelligent applications of spacecraft based on DT in autonomous cognition, autonomous operation and maintenance, as well as cluster collaboration are presented respectively.INDEX TERMS Spacecraft Digital twin(SDT), Digital twin, Artificial intelligence, Virtual reality fusion, Modeling and simulation, Cyber-physical system (CPS).

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Section: B Autonomous Operation and Maintenancementioning

confidence: 99%

Application Status and Prospect of Digital Twin for On-Orbit Spacecraft

Zheng

Li²

2021

IEEE Access

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“…The lumped uncertainty was accommodated by the robust or adaptive term of the controller. Neural networks (NNs) 20 and fuzzy logic system (FLS) 21–24 were also adopted by some researchers for attitude tracking FTC, but certain models for self-learning were needed and the computation may be too complex for small spacecraft with limited hardware and computation ability.…”

Section: Introductionmentioning

confidence: 99%

Disturbance observer-based fault-tolerant attitude tracking control for rigid spacecraft with finite-time convergence

Zong

Zhang

Shao

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part G:

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In this paper, finite-time fault-tolerant attitude tracking control is investigated for rigid spacecraft system with external disturbances, inertia uncertainties and actuator faults. A novel finite-time disturbance observer combined with a nonsingular terminal sliding mode controller is developed. Using an equivalent output error injection approach, a finite-time disturbance observer with simple structure is firstly designed to estimate lumped uncertainty. Then, to remove the requirement of prior knowledge about lumped uncertainty and reduce chattering, an adaptive finite-time disturbance observer is further proposed, and the estimations converge to the neighborhood of the true values. Based on the designed observer, a unified finite-time attitude controller is obtained automatically. Finally, both additive and multiplicative faults are considered for simulations and the results illustrate the great fault-tolerant capability of the proposed scheme.

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