City Research Online

Aircraft turbulence and gust identification using simulated in-flight data

Balatti, D., Haddad Khodaparast, H., Friswell, M. I., Manolesos, M. ORCID: 0000-0002-5506-6061 and Castrichini, A. (2021). Aircraft turbulence and gust identification using simulated in-flight data. Aerospace Science and Technology, 115, 106805. doi: 10.1016/j.ast.2021.106805

Abstract

Gust and turbulence events are of primary importance for the analysis of flight incidents, for the design of gust load alleviation systems and for the calculation of loads in the airframe. Gust and turbulence events cannot be measured directly but they can be obtained through direct or optimisation-based methods. In the direct method the discretisation of the Fredholm Integral equation is associated with an ill conditioned matrix. In this work the effects of regularisation methods including Tikhonov regularisation, Truncated Single Value Decomposition (TSVD), Damped Single Value Decomposition (DSVD) and a recently proposed method using cubic B-spline functions are evaluated for aeroelastic gust identification using in flight measured data. The gust identification methods are tested in the detailed aeroelastic model of FFAST and an equivalent low-fidelity aeroelastic model developed by the authors. In addition, the accuracy required in the model for a reliable identification is discussed. Finally, the identification method based on B-spline functions is tested by simultaneously using both low-fidelity and FFAST aeroelastic models so that the response from the FFAST model is used as measurement data and the equivalent low-fidelity model is used in the identification process.

Publication Type: Article
Additional Information: © 2021 The Author(s). Published by Elsevier Masson SAS. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
Publisher Keywords: Aeroelasticity, Gust identification, Inverse problem, Regularisation, Cubic B-spline
Subjects: T Technology > TL Motor vehicles. Aeronautics. Astronautics
Departments: School of Mathematics, Computer Science & Engineering > Engineering > Mechanical Engineering & Aeronautics
Date available in CRO: 02 Nov 2021 08:58
Date deposited: 2 November 2021
Date of acceptance: 4 May 2021
Date of first online publication: 18 May 2021
URI: https://openaccess.city.ac.uk/id/eprint/26988
[img]
Preview
Text - Published Version
Available under License Creative Commons: Attribution International Public License 4.0.

Download (2MB) | Preview

Export

Downloads

Downloads per month over past year

View more statistics

Actions (login required)

Admin Login Admin Login