We investigate two common approaches to model development for robust control synthesis in the aerospace community; namely, reduced order aeroservoelastic modelling 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 Super-Sonic SemiSpan Transport (S4T) wind-tunnel data using a system identification approach it is possible to estimate a model at a fixed Mach, which is parsimonious and robust across varying dynamic pressures.
Data Driven Model Development for the Supersonic Semispan Transport (S(sup 4)T)
2011
23 pages
Report
Keine Angabe
Englisch
Transportation Safety , Air Transportation , Aerodynamics , Aeroservoelasticity , System identification , Data systems , Supersonic transports , Dynamic structural analysis , Computational fluid dynamics , Aerodynamic characteristics , Finite element method , Wind tunnel tests , Models , Aerospace industry