Modal-based nonlinear estimation and control for highly flexible aeroelastic systems
File(s)
Accepted version
Author(s)
Artola, Marc
Goizueta, Norberto
Wynn, Andrew
Palacios, Rafael
Type
Conference Paper
Abstract
Modal-based, nonlinear Moving Horizon Estimation (MHE) and Model Predictive Control (MPC) strategies for highly flexible aeroelastic systems are presented. The aeroelastic model is built from a 1D intrinsic (based on strains and velocities) description of geometrically-nonlinear beams and an unsteady Vortex Lattice aerodynamic model. Construction of a nonlinear modal-based reduced order model of the aeroelastic system, employing a state-space realisation of the linearised aerodynamics around an arbitrary equilibrium point, allows us to capture the main nonlinear geometrical couplings at a very low computational cost. Embedding this model in both MHE and MPC strategies, which solve the system's continuous-time adjoints efficiently to compute sensitivities, lays the foundations for real-time estimation and control of highly flexible aeroelastic systems.
Date Issued
2020-01-06
Date Acceptance
2020-01-01
Citation
AIAA Scitech 2020 Forum, 2020, pp.1-23
ISBN
9781624105951
Publisher
American Institute of Aeronautics and Astronautics
Start Page
1
End Page
23
Journal / Book Title
AIAA Scitech 2020 Forum
Volume
1 PartF
Copyright Statement
© 2020 by Marc Artola, Norberto Goizueta, Andrew Wynn, Rafael Palacios. Published by the American Institute of Aeronautics and Astronautics, Inc., with permission.
Sponsor
Engineering and Physical Sciences Research Council
Grant Number
2297076
Source
AIAA Scitech 2020 Forum
Publication Status
Published
Start Date
2020-01-06
Finish Date
2020-01-10
Coverage Spatial
Orlando, FL, USA
Date Publish Online
2020-01-05