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An aerodynamic variable-fidelity modelling framework for a low-observable UCAV

Stradtner, Mario and Liersch, Carsten M. and Bekemeyer, Philipp (2020) An aerodynamic variable-fidelity modelling framework for a low-observable UCAV. Aerospace Science and Technology, 107 (106232), 1-xx. Elsevier. doi: 10.1016/j.ast.2020.106232. ISSN 1270-9638.

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Official URL: https://doi.org/10.1016/j.ast.2020.106232


The extensive amount of aerodynamic data needed for the creation of a Stability & Control data set requires efficient and reliable tools. For this reason, the task of producing a large and dense data set in general relies on ground-facility testing and is conducted after the product definition phase, where, nevertheless, already plenty of aerodynamic data is generated by use of simple low-fidelity aerodynamic methods. However, these methods are not capable of predicting complex non-linear aerodynamic phenomena, which complicates a reliable assessment of new designs and demands more accurate predictions early in the design process. Variable-fidelity surrogate modelling offers an opportunity to include high-fidelity simulation tools at affordable effort by enriching a low-fidelity data set with just a few selected highly accurate results. In this paper, an automated aerodynamic variable-fidelity modelling process is proposed to create such an aerodynamic data set at product definition phase. It is demonstrated on an industrial-relevant, agile, low-observable unmanned combat aerial vehicle. An adaptive sampling strategy is applied which proves to be both efficient and accurate. This is supplemented by a model selection algorithm. Moreover, a comparison with a single-fidelity surrogate modelling process shows the variable-fidelity modelling strategy to be superior.

Item URL in elib:https://elib.dlr.de/136714/
Document Type:Article
Title:An aerodynamic variable-fidelity modelling framework for a low-observable UCAV
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Stradtner, MarioUNSPECIFIEDhttps://orcid.org/0000-0001-8038-9420UNSPECIFIED
Liersch, Carsten M.UNSPECIFIEDhttps://orcid.org/0000-0001-6417-6732UNSPECIFIED
Date:23 September 2020
Journal or Publication Title:Aerospace Science and Technology
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
Page Range:1-xx
EditorsEmailEditor's ORCID iDORCID Put Code
Keywords:Multi fidelity; Surrogate modelling; Adaptive sampling; Aerodynamic model; Stability and control
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:fixed-wing aircraft
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Military Technologies (old)
Location: Braunschweig
Institutes and Institutions:Institute for Aerodynamics and Flow Technology > CASE, BS
Institute for Aerodynamics and Flow Technology > Transport Aircraft
Deposited By: Stradtner, Mario
Deposited On:20 Oct 2020 13:32
Last Modified:05 Nov 2020 21:26

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