Robust identification of nonlinear aerodynamic model structure

1992 ◽  
Author(s):  
THOMAS MEYER ◽  
D. MOOK
Keyword(s):  
Model Structure ◽  
Robust Identification ◽  
Aerodynamic Model ◽  
Nonlinear Aerodynamic

Identification of a nonlinear aerodynamic model of the F-14 aircraft

1995 ◽  
Vol 18 (6) ◽  
pp. 1292-1297 ◽  
Author(s):  
Thomas L. Trankle ◽  
Stephen D. Bachner
Keyword(s):  
Aerodynamic Model ◽  
Nonlinear Aerodynamic ◽  
F 14

scholarly journals Trajectory Estimation of Hypersonic Glide Vehicle Based on Analysis of Aerodynamic Performance

2019 ◽  
Vol 37 (6) ◽  
pp. 1102-1110
Author(s):  
Yunpeng Cheng ◽  
Xiaodong Yan ◽  
Feng Cheng
Keyword(s):  
High Speed ◽  
Engineering Calculation ◽  
Aerodynamic Performance ◽  
The State ◽  
Aerodynamic Parameter ◽  
Trajectory Estimation ◽  
Aerodynamic Model ◽  
Proposed Model ◽  
Improve Accuracy ◽  
Nonlinear Aerodynamic

Due to high speed and high maneuverability of hypersonic glide vehicles (HGVs), the state estimation of such targets has always been a research hotspot. In order to improve accuracy of the trajectory estimation, a nonlinear aerodynamic parameter model for target estimation based on aerodynamic performance analysis is proposed. Firstly, the dynamic characteristics of the hypersonic glide vehicle during the hypersonic gliding stage was analyzed. Then, aiming at HTV-2-liked vehicle, the engineering calculation method was used to form the reference aerodynamic model for the target estimation. Secondly, a deviation model described by first-order Markov process was introduced to compensate the uncertainties of the unknown maneuver information from the target. Finally, extended Kalman filter was utilized to estimate the state of the target. The simulation results show that the proposed model is able to improve the accuracy of acceleration estimation for the HTV-2-liked hypersonic gliding vehicles.

Nonlinear Structural, Nonlinear Aerodynamic Model for Static Aeroelastic Problems

AIAA Journal ◽  
2019 ◽  
Vol 57 (5) ◽  
pp. 2158-2170 ◽  
Author(s):  
Etay Kantor ◽  
Daniella E. Raveh ◽  
Rauno Cavallaro
Keyword(s):  
Aerodynamic Model ◽  
Nonlinear Structural ◽  
Nonlinear Aerodynamic

Online Aerodynamic Model Structure Selection and Parameter Estimation for Fault Tolerant Control

2010 ◽  
Vol 33 (3) ◽  
pp. 707-723 ◽  
Author(s):  
T. J. J. Lombaerts ◽  
E. R. Van Oort ◽  
Q. P. Chu ◽  
J. A. Mulder ◽  
D. A. Joosten
Keyword(s):  
Parameter Estimation ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Model Structure ◽  
Structure Selection ◽  
Aerodynamic Model ◽  
Model Structure Selection

scholarly journals Multivariate Splines-Based Asymmetric Aerodynamic Modeling of Morphing Aircraft

2018 ◽  
Vol 36 (2) ◽  
pp. 211-219
Author(s):  
Xiaowu Xu ◽  
Wei Zhang ◽  
Hao Zhan
Keyword(s):  
Specific Model ◽  
Global Coordinate System ◽  
Model Structure ◽  
Multivariate Splines ◽  
Aerodynamic Parameter ◽  
Final Model ◽  
Morphing Aircraft ◽  
Aerodynamic Modeling ◽  
Aerodynamic Model ◽  
Aerodynamic Parameters

The aerodynamic parameters of morphing aircraft can vary significantly in the morphing process; the aerodynamic data model is complex and high-order nonlinear. This paper presents a new method of aerodynamic modeling of morphing aircraft by using multivariate splines. Firstly, the aerodynamic coefficient model of morphing aircraft based on the multivariate splines model structure is presented. This model can describe symmetric and asymmetric aerodynamic forces. Then, the multivariate simple splines estimation process is introduced in detail and the concrete formulation is deduced. Finally, the final model structure is determined by error analysis, and the aerodynamic parameter polynomial model in the global coordinate system is obtained by coordinate transformation. The results show that this method can accurately describe the aerodynamic model of morphing aircraft during arbitrary symmetric and asymmetric morphing process without predicting the specific model structure of the aerodynamic parameters related to varying process.

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