scholarly journals Determining the accuracy of aerodynamic model parameters estimated from flight test data

1995 ◽  
Author(s):  
Eugene Morelli ◽  
Vladislav Klein
Keyword(s):  
Test Data ◽  
Flight Test ◽  
Model Parameters ◽  
Aerodynamic Model

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

scholarly journals Modeling the unstable DelftaCopter vertical take-off and landing tailsitter unmanned air vehicle in hover and forward flight from flight test data

2019 ◽  
Vol 11 ◽  
pp. 175682931988030 ◽  
Author(s):  
Christophe De Wagter ◽  
Joost Meulenbeld
Keyword(s):  
Test Data ◽  
Delta Wing ◽  
Flight Test ◽  
Model Parameters ◽  
Attitude Dynamics ◽  
Dynamics Model ◽  
Forward Flight ◽  
Plane Model ◽  
Unmanned Air Vehicle ◽  
Air Vehicle

The DelftaCopter is a tilt-body tailsitter unmanned air vehicle which combines a large swashplate controlled helicopter rotor with a biplane delta-wing. Previous research has shown that the large moment of inertia of the wing and fuselage significantly interacts with the dynamics of the rotor. While this rigid rotor cylinder dynamics model has allowed initial flight testing, part of the dynamics remains unexplained. In particular, higher frequency dynamics and the forward flight dynamics were not modeled. In this work, the cylinder dynamics model is compared with the tip-path plane model, which includes the steady-state flapping dynamics of the blades. The model is then extended to include the wing and elevon dynamics during forward flight. Flight test data consisting of excitations with a large frequency content are used to identify the model parameters using grey-box modeling. Since the DelftaCopter is unstable, flight tests can only be performed while at least a rate feedback controller is active. To reduce the influence of this active controller on the identification of the dynamics, one axis is identified at a time while white noise is introduced on all other axes. The tip-path plane model is shown to be much more accurate in reproducing the high-frequency attitude dynamics of the DelftaCopter. The significant rotor–wing interaction is shown to differ greatly from what is seen in traditional helicopter models. Finally, an Linear-Quadratic Regulator (LQR) controller based on the tip-path plane model is derived and tested to validate its applicability. Modeling the attitude dynamics of the unstable DelftaCopter from flight test data has been shown to be possible even in the presence of the unavoidable baseline controller.

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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