z-logo
open-access-imgOpen Access
Nonlinear Modal Aeroservoelastic Analysis Framework for Flexible Aircraft
Author(s) -
Yinan Wang,
Andrew Wynn,
Rafael Palacios
Publication year - 2016
Publication title -
aiaa journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.828
H-Index - 158
eISSN - 1081-0102
pISSN - 0001-1452
DOI - 10.2514/1.j054537
Subject(s) - aeroelasticity , nonlinear system , aerodynamics , flight control surfaces , modal , control theory (sociology) , cantilever , flutter , modal analysis , equations of motion , linear fractional transformation , describing function , computer science , mathematics , engineering , vibration , physics , structural engineering , aerospace engineering , classical mechanics , robust control , acoustics , control (management) , materials science , quantum mechanics , polymer chemistry , artificial intelligence
A nonlinear formulation in modal coordinates of the equations of motion of a flexible aircraft is presented. It relies on the projection of the intrinsic equations of geometrically nonlinear composite beams on the linear normal modes at a reference condition, which are coupled with two-dimensional unsteady aerodynamics. The resulting description is suitable for nonlinear dynamic analysis and control design, whereas the description in modal coordinates links directly to linear aeroservoelastic analysis methods. Results are presented on and compared to cantilever wings and full aircraft configurations previously studied in the literature. Linear H∞H∞ control synthesis and closed-loop nonlinear simulations are finally explored on a highly flexible flying wing under large-amplitude discrete gusts. Results show the ability of the proposed framework to capture the nonlinear dynamics of the aeroelastic system, while providing a seamless integration with linear methods, as well as its strength in identification of the dominant contributors to the nonlinear response

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom