Nonlinear Aerodynamic Model Extraction from Flight-Test Data for the S-3B Viking

2005 ◽  
Vol 42 (1) ◽  
pp. 26-32 ◽  
Author(s):  
Alfonso C. Paris ◽  
Omeed Alaverdi
Keyword(s):  
Test Data ◽  
Flight Test ◽  
Model Extraction ◽  
Aerodynamic Model ◽  
Nonlinear Aerodynamic

scholarly journals Aerodynamic Model Identification of the Flying V from Sub-Scale Flight Test Data

2022 ◽  
Author(s):  
Alberto Ruiz Garcia ◽  
Malcom Brown ◽  
Daniel Atherstone ◽  
Nando v. Arnhem ◽  
Roelof Vos
Keyword(s):  
Test Data ◽  
Model Identification ◽  
Flight Test ◽  
Aerodynamic Model

scholarly journals Linear Aerodynamic Model Identification of a Flapping Wing MAV Based on Flight Test Data

2013 ◽  
Vol 5 (4) ◽  
pp. 273-286 ◽  
Author(s):  
J.V. Caetano ◽  
C.C. de Visser ◽  
G.C.H.E. de Croon ◽  
B. Remes ◽  
C. de Wagter ◽  
...  
Keyword(s):  
Test Data ◽  
Model Identification ◽  
Flight Test ◽  
Flapping Wing ◽  
Aerodynamic Model

Wavelet Neural Network with PLS Feature Extraction and its Application in Aerodynamic Modeling for Aircraft Stall

2014 ◽  
Vol 602-605 ◽  
pp. 3131-3134
Author(s):  
Xu Sheng Gan ◽  
Xue Qin Tang ◽  
Hai Long Gao
Keyword(s):  
Neural Network ◽  
Feature Extraction ◽  
Least Squares ◽  
Partial Least Squares ◽  
Test Data ◽  
Flight Test ◽  
Data Simulation ◽  
Aerodynamic Modeling ◽  
Aerodynamic Model ◽  
Simulation Results

An aerodynamic modeling method based on WNN with Partial Least Squares (PLS) is proposed. In the method, PLS first is applied to extract the feature of original aerodynamic data samples, and then the obtained feature is used to establish the WNN aerodynamic model for aircraft stall from flight test data. Simulation results are given to illustrate that the proposed method is effective and feasible.

Stall Buffet Modeling using Swept Wing Flight Test Data

2021 ◽  
Author(s):  
Sven Marschalk ◽  
Peter C. Luteijn ◽  
Dirk van Os ◽  
Daan M. Pool ◽  
Coen C. de Visser
Keyword(s):  
Test Data ◽  
Flight Test ◽  
Swept Wing
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