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)
International Forum on Aeroelasticity and Structural ; 2011 ; Paris, France
2011-06-26
Conference paper
No indication
English