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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Data-Driven Model Development for the SuperSonic SemiSpan Transport


    Contributors:

    Published in:

    AIAA Journal ; 51 , 6 ; 1333-1341


    Publication date :

    2013-04-12


    Size :

    9 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





    Active Flutter Suppression of the Supersonic Semispan Transport (S4T) Model

    Roughen, K. / Bendiksen, O. / American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 2010


    Active Aeroelastic Control of the Supersonic Semispan Transport (S4T) Model

    Roughen, Kevin / Bendiksen, Oddvar / Gadient, Ross | AIAA | 2010


    Active Aeroelastic Control of the Supersonic Semispan Transport (S4T) Model

    Roughen, K. / Bendiksen, O. / Gadient, R. et al. | British Library Conference Proceedings | 2010