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Nonlinear model reduction for flexible aircraft control design

Nonlinear model reduction for flexible aircraft control design
Nonlinear model reduction for flexible aircraft control design
The paper describes a systematic approach to the model reduction of large dimension fluid-structure-flight models, and the subsequent flight control design of very flexible aircraft. System nonlinearities may be due to the large wing deformations, the coupling between flexible and rigid body dynamics and/or flow separation at large angles of incidence. A nonlinear reduced order model is used to reduce the computational cost and dimension of the large-order nonlinear system for a practical control law design. The approach uses information on the eigenspectrum of the coupled system Jacobian matrix and projects the system through a series expansion onto a small basis of eigenvectors representative of the full-order dynamics. For a pitch-plunge aerofoil with structural nonlinearities, a controller based on reduced models was designed to alleviate gust loads. The approach to model reduction was also demonstrated for a two-dimensional problem with aerodynamics modelled using the computational fluid dynamics equations, and a flexible wing modelled using the geometrically-exact nonlinear beam equations. In all cases, the model reduction was found adequate to predict the large order system dynamics at a neglegible cost compared to that incurred by solving the nonlinear full-order system.
978-1-62410-184-7
Da Ronch, A.
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Badcock, K. J.
64c4dc5d-1f2f-4358-af31-f6506c1810ef
Wang, Y.
23c775f0-3cac-44d5-9e16-2098959c493b
Wynn, A.
ca41e493-9961-49e8-aad2-66e7d6fc2e84
Palacios, R. N.
994836d3-bb9a-46d3-a6f5-2fa6cf4a931f
Da Ronch, A.
a2f36b97-b881-44e9-8a78-dd76fdf82f1a
Badcock, K. J.
64c4dc5d-1f2f-4358-af31-f6506c1810ef
Wang, Y.
23c775f0-3cac-44d5-9e16-2098959c493b
Wynn, A.
ca41e493-9961-49e8-aad2-66e7d6fc2e84
Palacios, R. N.
994836d3-bb9a-46d3-a6f5-2fa6cf4a931f

Da Ronch, A., Badcock, K. J., Wang, Y., Wynn, A. and Palacios, R. N. (2012) Nonlinear model reduction for flexible aircraft control design. AIAA Atmospheric Flight Mechanics Conference, Minneapolis, United States. 13 - 16 Aug 2012. 23 pp . (doi:10.2514/6.2012-4404).

Record type: Conference or Workshop Item (Paper)

Abstract

The paper describes a systematic approach to the model reduction of large dimension fluid-structure-flight models, and the subsequent flight control design of very flexible aircraft. System nonlinearities may be due to the large wing deformations, the coupling between flexible and rigid body dynamics and/or flow separation at large angles of incidence. A nonlinear reduced order model is used to reduce the computational cost and dimension of the large-order nonlinear system for a practical control law design. The approach uses information on the eigenspectrum of the coupled system Jacobian matrix and projects the system through a series expansion onto a small basis of eigenvectors representative of the full-order dynamics. For a pitch-plunge aerofoil with structural nonlinearities, a controller based on reduced models was designed to alleviate gust loads. The approach to model reduction was also demonstrated for a two-dimensional problem with aerodynamics modelled using the computational fluid dynamics equations, and a flexible wing modelled using the geometrically-exact nonlinear beam equations. In all cases, the model reduction was found adequate to predict the large order system dynamics at a neglegible cost compared to that incurred by solving the nonlinear full-order system.

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Published date: August 2012
Venue - Dates: AIAA Atmospheric Flight Mechanics Conference, Minneapolis, United States, 2012-08-13 - 2012-08-16
Organisations: Aerodynamics & Flight Mechanics Group

Identifiers

Local EPrints ID: 351933
URI: http://eprints.soton.ac.uk/id/eprint/351933
ISBN: 978-1-62410-184-7
PURE UUID: 9f45d44c-22ea-459a-9f0d-459632885d42
ORCID for A. Da Ronch: ORCID iD orcid.org/0000-0001-7428-6935

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Date deposited: 02 May 2013 14:51
Last modified: 15 Mar 2024 03:46

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Contributors

Author: A. Da Ronch ORCID iD
Author: K. J. Badcock
Author: Y. Wang
Author: A. Wynn
Author: R. N. Palacios

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