Aircraft Turbulence and Gust Identification using Simulated In-flight Data

D Balatti, H Haddad Khodaparast, MI Friswell, M Manolesos (Swansea University) & A Castrichini (Airbus)

Aerospace Science and Technology, 115, August 2021, paper 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 the response from the FFAST model is used as measurement data and the equivalent low-fidelity model is used in the identification process.

Paper Availability

This material has been published in the Aerospace Science and Technology, Vol. 115, August 2021, paper 106805. The paper is published as Open Access.


Link to paper using doi: 10.1016/j.ast.2021.106805

Aerospace Science and Technology website