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Abstract
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Article Information:
Discrete Neural Altitude Control for Hypersonic Vehicle Via Flight Path Angle Tracking
Shixing Wang, Bin Xu, Fuchun Sun and Yifu Jiang
Corresponding Author: Shixing Wang
Submitted: December 20, 2011
Accepted: April 23, 2012
Published: October 15, 2012 |
Abstract:
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In this study, the altitude control is analyzed for the longitudinal dynamics of a generic Hypersonic
Flight Vehicle (HFV). By transforming altitude command into the tracking of flight path angle with fast
dynamics, the system design is focusing on the control of the attitude subsystem. The virtual control is designed
with nominal feedback and Neural Network (NN) approximation via back-stepping. Under the proposed
controller, the Semiglobal Uniform Ultimate Boundedness (SGUUB) stability is guaranteed. The slow
dynamics are transformed into the parameter estimation problem and the update law is designed. The simulation
is presented to show the effectiveness of the proposed control approach.
Key words: Discrete-time, hypersonic flight vehicle, neural network, , , ,
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Abstract
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Cite this Reference:
Shixing Wang, Bin Xu, Fuchun Sun and Yifu Jiang, . Discrete Neural Altitude Control for Hypersonic Vehicle Via Flight Path Angle Tracking. Research Journal of Applied Sciences, Engineering and Technology, (20): 3930-3936.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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