No Cover Image

Journal article 45 views 6 downloads

Aircraft turbulence and gust identification using simulated in-flight data / Davide Balatti; Hamed Haddad Khodaparast; Michael Friswell; Marinos Manolesos; Andrea Castrichini

Aerospace Science and Technology, Volume: 115

Swansea University Authors: Davide, Balatti, Hamed, Haddad Khodaparast, Michael, Friswell, Marinos, Manolesos

  • 56864.pdf

    PDF | Version of Record

    © 2021 The Author(s). This is an open access article under the CC BY license

    Download (2.08MB)

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-...

Full description

Published in: Aerospace Science and Technology
ISSN: 1270-9638
Published: Elsevier BV 2021
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa56864
Tags: Add Tag
No Tags, Be the first to tag this record!
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.
Keywords: Aeroelasticity, Gust identification, Inverse problem, Regularisation, Cubic B-spline
College: College of Engineering