Constrained Adaptive Neural Control for Air-Breathing Hypersonic Vehicles without Backstepping
Joint Authors
Wang, Pengfei
Lei, Humin
Tan, Shili
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-08-06
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
An adaptive neural control scheme without backstepping is proposed for the air-breathing hypersonic vehicle subject to input constraints.
To estimate the unknown nonlinearity of velocity subsystem and altitude subsystem, two radial basis function neural networks (RBFNNs) are constructed.
Since the complex backstepping design steps are not needed, the proposed control structure is quite concise and the problem of “explosion of terms” is avoided.
Moreover, a novel nonlinear auxiliary system is constructed to solve the problem of input constraints.
The advantage of the proposed auxiliary system is that its high-order form has good performance and the parameter tuning is relatively easy.
Simulation results show that the designed controllers achieve stable tracking of reference commands with good performance.
American Psychological Association (APA)
Tan, Shili& Lei, Humin& Wang, Pengfei. 2018. Constrained Adaptive Neural Control for Air-Breathing Hypersonic Vehicles without Backstepping. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1208656
Modern Language Association (MLA)
Tan, Shili…[et al.]. Constrained Adaptive Neural Control for Air-Breathing Hypersonic Vehicles without Backstepping. Mathematical Problems in Engineering No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1208656
American Medical Association (AMA)
Tan, Shili& Lei, Humin& Wang, Pengfei. Constrained Adaptive Neural Control for Air-Breathing Hypersonic Vehicles without Backstepping. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1208656
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208656