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Neural Network Assisted Inverse Dynamic Guidance for Terminally Constrained Entry Flight
Joint Authors
Zhou, Hao
Chen, Wanchun
Rahman, Tawfiqur
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-26
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
This paper presents a neural network assisted entry guidance law that is designed by applying Bézier approximation.
It is shown that a fully constrained approximation of a reference trajectory can be made by using the Bézier curve.
Applying this approximation, an inverse dynamic system for an entry flight is solved to generate guidance command.
The guidance solution thus gotten ensures terminal constraints for position, flight path, and azimuth angle.
In order to ensure terminal velocity constraint, a prediction of the terminal velocity is required, based on which, the approximated Bézier curve is adjusted.
An artificial neural network is used for this prediction of the terminal velocity.
The method enables faster implementation in achieving fully constrained entry flight.
Results from simulations indicate improved performance of the neural network assisted method.
The scheme is expected to have prospect for further research on automated onboard control of terminal velocity for both reentry and terminal guidance laws.
American Psychological Association (APA)
Zhou, Hao& Rahman, Tawfiqur& Chen, Wanchun. 2014. Neural Network Assisted Inverse Dynamic Guidance for Terminally Constrained Entry Flight. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1050614
Modern Language Association (MLA)
Zhou, Hao…[et al.]. Neural Network Assisted Inverse Dynamic Guidance for Terminally Constrained Entry Flight. The Scientific World Journal No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-1050614
American Medical Association (AMA)
Zhou, Hao& Rahman, Tawfiqur& Chen, Wanchun. Neural Network Assisted Inverse Dynamic Guidance for Terminally Constrained Entry Flight. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1050614
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050614