Data-Driven Model Development for the SuperSonic SemiSpan Transport

We investigate two common approaches to model development for robust control synthesis in the aerospace community; namely, reduced-order aeroservoelastic modeling based on structural finite-element and computational-fluid-dynamics-based aerodynamic models and a data-driven system-identification proc...

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Bibliographic Details
Published in:AIAA journal 2013-06, Vol.51 (6), p.1333-1341
Main Author: Kukreja, Sunil L
Format: Article
Language:English
Subjects:
Aerodynamics
Aeroelasticity
Aerospace engineering
Aerospace industry
Air transportation and traffic
Aircraft
Applied sciences
Computational fluid dynamics
Dynamic pressure
Estimates
Exact sciences and technology
Finite element method
Ground, air and sea transportation, marine construction
Mach number
Mathematical analysis
Mathematical models
Reduced order models
Robust control
Supersonic aircraft
Transport
Wind tunnels
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Summary:We investigate two common approaches to model development for robust control synthesis in the aerospace community; namely, reduced-order aeroservoelastic modeling based on structural finite-element and computational-fluid-dynamics-based aerodynamic models and a data-driven system-identification procedure. It is shown via analysis of experimental SuperSonic SemiSpan Transport wind-tunnel data that, using a system-identification approach, it is possible to estimate a model at a fixed Mach number that is parsimonious and robust across varying dynamic pressures while the numerical reduced-order model offers significantly less predicative capability.
ISSN:0001-1452
1533-385X
DOI:10.2514/1.J051721