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Title:

Neuro-Fuzzy Network-Based Reduced-Order Modeling of Transonic Aileron Buzz

Document type:
Zeitschriftenaufsatz
Author(s):
Zahn, Rebecca; Breitsamter, Christian
Abstract:
In the present work, a reduced-order modeling (ROM) framework based on a recurrent neuro-fuzzy model (NFM) that is serial connected with a multilayer perceptron (MLP) neural network is applied for the computation of transonic aileron buzz. The training data set for the specified ROM is obtained by performing forced-motion unsteady Reynolds-averaged Navier Stokes (URANS) simulations. Further, a Monte Carlo-based training procedure is applied in order to estimate statistical errors. In order to de...     »
Keywords:
nonlinear system identification; reduced-order model; neuro-fuzzy model; multilayer perceptron neural network; transonic aileron buzz; unsteady aerodynamics
Dewey Decimal Classification:
620 Ingenieurwissenschaften
Journal title:
Aerospace
Year:
2020
Journal volume:
7
Journal issue:
11
Pages contribution:
162
Covered by:
Scopus
Language:
en
Fulltext / DOI:
doi:10.3390/aerospace7110162
Publisher:
MDPI AG
E-ISSN:
2226-4310
Submitted:
16.10.2020
Accepted:
10.11.2020
Date of publication:
13.11.2020
TUM Institution:
Lehrstuhl für Aerodynamik und Strömungsmechanik
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