Minimum-learning-parameter-based anti-unwinding attitude tracking control for spacecraft with unknown inertia parameters

This paper investigates the finite-time attitude tracking control problem for rigid spacecraft exposed to the external disturbance and unknown inertial parameters. Initially, the basic controller is developed under the assumption that the inertial parameters and the upper bound of external disturban...

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Bibliographic Details
Published in:Acta astronautica 2021-02, Vol.179, p.498-508
Main Authors: Wu, Xiande, Zhao, Han, Huang, Bing, Li, Jun, Song, Shuo, Liu, Ruojun
Format: Article
Language:English
Subjects:
Adaptive algorithms
Attitude tracking control
Backstepping
Control stability
Controllers
Dynamic stability
Finite-time stability
Machine learning
Minimum-learning-parameter
Numerical simulations
Parameters
Spacecraft
Spacecraft attitude control
Spacecraft tracking
System dynamics
Theoretical analysis
Tracking control
Tracking errors
Unwinding phenomenon
Upper bounds
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Summary:This paper investigates the finite-time attitude tracking control problem for rigid spacecraft exposed to the external disturbance and unknown inertial parameters. Initially, the basic controller is developed under the assumption that the inertial parameters and the upper bound of external disturbances are available to the designer. However, this assumption is inapplicable in practical applications. Considering this limitation, adaptive laws and Minimum-learning- parameter (MLP) algorithm are employed in the second controller to estimate the unknown system dynamics. Finite-time stability for tracking errors is achievable under the proposed methods. Though theoretical analysis and numerical simulations, effectiveness of the proposed controllers has been validated. •Two finite-time attitude tracking controllers are proposed.•The proposed controller is inertia-free for implementation.•MLP Algorithm has been employed to reduce the computational burden.
ISSN:0094-5765
1879-2030
DOI:10.1016/j.actaastro.2020.11.012