Aeroelastic control and estimation with a minimal nonlinear modal description
File(s) AIAA_Journal_Minimal_Nonl_submitted.pdf (3.81 MB)
Accepted version
Author(s)
Artola, Marc
Goizueta, Norberto
Wynn, Andrew
Palacios, Rafael
Type
Journal Article
Abstract
Modal-based, nonlinear Moving Horizon Estimation (MHE) and Model Predictive Control(MPC) strategies for very flexible aeroelastic systems are presented. They are underpinned by an aeroelastic model 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 reference 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 continuous-time adjoints efficiently to compute sensitivities, lays the foundations for real-time estimation and control of highly flexible aeroelastic systems. Finally, the performance and versatility of the framework operating in the nonlinear regime is demonstrated on two very flexible wing models, with notably different dynamics, and on two different control setups: a gust-load alleviation problem on a very high aspect ratio wing with slower dynamics, which involves substantial deflections; and flutter suppression on a flexible wing with significantly faster dynamics, where an unconventional nonlinear stabilisation mechanism is unveiled.
Date Issued
2021-04-16
Date Acceptance
2020-12-21
Citation
AIAA Journal: devoted to aerospace research and development, 2021, 59 (7), pp.2697-2713
ISSN
0001-1452
Publisher
American Institute of Aeronautics and Astronautics
Start Page
2697
End Page
2713
Journal / Book Title
AIAA Journal: devoted to aerospace research and development
Volume
59
Issue
7
Copyright Statement
© 2021 by M. Artola, N. Goizueta, A. Wynn, and R. Palacios. Published by the American Institute of Aeronautics and Astronautics, Inc., with permission. All requests for copying and permission to reprint should be submitted to CCC at www.copyright.com; employ the eISSN 1533-385X to initiate your request. See also AIAA Rights and Permissions www.aiaa.org/randp.
Sponsor
Commission of the European Communities
Engineering and Physical Sciences Research Council
Identifier
https://arc.aiaa.org/doi/10.2514/1.J060018
Grant Number
765579
Marie Sklodowska-Curie grant agreement No 765579
2297076
Subjects
Aerospace & Aeronautics
0901 Aerospace Engineering
0905 Civil Engineering
0913 Mechanical Engineering
Publication Status
Published
Date Publish Online
2021-04-16
