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Adaptive Neural Network Variable Structure Control for Liquid-Filled Spacecraft under Unknown Input Saturation
Joint Authors
Wang, Hongwei
Lu, Shufeng
Song, Xiaojuan
Source
International Journal of Aerospace Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-01
Country of Publication
Egypt
No. of Pages
16
Abstract EN
This study addresses the problem of attitude maneuver control for a three-axis stabilized liquid-filled spacecraft using an adaptive neural network variable structure control algorithm in the presence of parametric uncertainty, external disturbances, and control input saturation.
The liquid fuel is equivalent to a spherical pendulum model, and the coupled dynamic model of liquid-filled spacecraft is derived using the conservation law of angular momentum moment.
Then, adaptive variable structure control technique is designed, which contains hyperbolic tangent function that preserves control smoothness at all times.
The proposed control algorithm has the properties that state variables converge to the origin asymptotically under parametric uncertainty and external disturbance.
Furthermore, the controller derived here is extended by adding a feed-forward saturation compensation scheme to reduce the influence of unknown control input saturation on the system.
Also, the saturation compensation scheme is derived by using a radial basis function neural network to approximate the unknown saturation nonlinearity.
The associated stability proof of the resulting closed-loop system is presented based on Lyapunov analysis, and asymptotic convergence of the state variables is guaranteed via the Barbalat lemma.
Numerical simulations are presented to illustrate the spacecraft performance obtained by using the proposed controllers.
American Psychological Association (APA)
Wang, Hongwei& Lu, Shufeng& Song, Xiaojuan. 2020. Adaptive Neural Network Variable Structure Control for Liquid-Filled Spacecraft under Unknown Input Saturation. International Journal of Aerospace Engineering،Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1168142
Modern Language Association (MLA)
Wang, Hongwei…[et al.]. Adaptive Neural Network Variable Structure Control for Liquid-Filled Spacecraft under Unknown Input Saturation. International Journal of Aerospace Engineering No. 2020 (2020), pp.1-16.
https://search.emarefa.net/detail/BIM-1168142
American Medical Association (AMA)
Wang, Hongwei& Lu, Shufeng& Song, Xiaojuan. Adaptive Neural Network Variable Structure Control for Liquid-Filled Spacecraft under Unknown Input Saturation. International Journal of Aerospace Engineering. 2020. Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1168142
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1168142