Proceedings ArticleDOI
Influence of linear and nonlinear aerodynamic models on parameter identification for aircraft
Juntao Liu,Shaobin Li,Xizhen Song,Chenxi Wang +3 more
- pp 227-232
TLDR
Results show that nonlinear aerodynamic model is more reliable than linear model at low angles of attack in both mathematical and physical aspects.Abstract:
The linear and nonlinear aerodynamic models are built to investigate the influence of the two models on the parameter identification results. The polynomial modeling method is used to establish the aerodynamic models while the existing dynamic model of aircraft and output error method in time domain are applied to identify aerodynamic parameters at low angles of attack. A comparison is made between linear model and nonlinear model in both mathematical and physical aspects. And the effect of the nonlinear term on the estimated parameters is analyzed. Results show that nonlinear aerodynamic model is more reliable than linear model at low angles of attack. The considerable deviation between the modeled outputs and measured data at 0–1 s is reduced by introducing the nonlinear term into the model. Moreover the differences between the identified results given by two models are mainly exhibited at the inflection points in the images of the aerodynamic coefficients.read more
Citations
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Aircraft System Identification Theory And Practice
TL;DR: The aircraft system identification theory and practice is universally compatible with any devices to read, and an online access to it is set as public so you can get it instantly.
Proceedings ArticleDOI
LPV Model-Based Parameter Estimation For Damaged Asymmetric Aircraft
TL;DR: In this paper, an LPV model is proposed for the modeling of the damaged aircraft, and prior information is introduced to simplify the model, then an RLS (Recursive Least squares)-based parameter estimation method is designed.
References
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BookDOI
Aircraft system identification : theory and practice
TL;DR: This book presents an overview of Estimation Theory and its applications in Mathematical Model of an Aircraft and Real-Time Parameter Estimation, as well as some of the methods used in this work.
Journal ArticleDOI
Application of System Identification to Aircraft at NASA Langley Research Center
TL;DR: The past, present, and future of system identification applied to aircraft at NASA Langley Research Center (LaRC) in Hampton, Virginia are discussed in this article, including some perspective on the role these developments played in the practice of identifying aircraft.
Proceedings ArticleDOI
Practical Aspects of the Equation-Error Method for Aircraft Parameter Estimation
TL;DR: Various practical aspects of the equation-error approach to aircraft parameter estimation were examined, based on simulated flight data from an F-16 nonlinear simulation, with realistic noise sequences added to the computed aircraft responses.
Aircraft System Identification Theory And Practice
TL;DR: The aircraft system identification theory and practice is universally compatible with any devices to read, and an online access to it is set as public so you can get it instantly.
Proceedings ArticleDOI
Efficient Global Aerodynamic Modeling from Flight Data
TL;DR: In this article, a method for identifying global aerodynamic models from flight data in an efficient manner is explained and demonstrated, and a novel experiment design technique is used to obtain dynamic flight data over a range of flight conditions with a single flight maneuver.
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