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Sliding Mode Control for NSVs with Input Constraint Using Neural Network and Disturbance Observer
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-04
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The sliding mode control (SMC) scheme is proposed for near space vehicles (NSVs) with strong nonlinearity, high coupling, parameter uncertainty, and unknown time-varying disturbance based on radial basis function neural networks (RBFNNs) and the nonlinear disturbance observer (NDO).
Considering saturation characteristic of rudders, RBFNNs are constructed as a compensator to overcome the saturation nonlinearity.
The stability of the closed-loop system is proved, and the tracking error as well as the disturbance observer error can converge to the origin through the Lyapunov analysis.
Simulation results are presented to demonstrate the effectiveness of the proposed flight control scheme.
American Psychological Association (APA)
Zhou, Yan-long& Chen, Mou. 2013. Sliding Mode Control for NSVs with Input Constraint Using Neural Network and Disturbance Observer. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-1011105
Modern Language Association (MLA)
Zhou, Yan-long& Chen, Mou. Sliding Mode Control for NSVs with Input Constraint Using Neural Network and Disturbance Observer. Mathematical Problems in Engineering No. 2013 (2013), pp.1-12.
https://search.emarefa.net/detail/BIM-1011105
American Medical Association (AMA)
Zhou, Yan-long& Chen, Mou. Sliding Mode Control for NSVs with Input Constraint Using Neural Network and Disturbance Observer. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-1011105
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1011105