Practical aspects of the frequency-domain approach for aircraft system identification are explained and demonstrated. Topics related to experiment design, flight data analysis, and dynamic modeling are included. For demonstration purposes, simulated time series data and simulated flight data from an F-16 nonlinear simulation with realistic noise are used. This approach enables detailed evaluations of the techniques and results, because the true characteristics of the data and aircraft dynamics are known for the simulated data. Analytical techniques and practical considerations are examined for the finite Fourier transform, nonparametric frequency response estimation, parametric modeling in the frequency domain, experiment design for frequen...
M.Ing. (Electrical and Electronic Engineering)This treatise presents an investigation into the appli...
In a co-operation between Airbus-France, ONERA and DLR a signal analysis based on time-frequency tec...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/90729/1/AIAA-2011-6358-848.pd
There is considerable need for the application of system identification techniques to helicopters. T...
Purpose– The purpose of this paper is to identify the flexible aircraft model accurately from the fr...
With the demand for more advanced fighter aircraft, relying on unstable flight mechanical characteri...
https://doi.org/10.21949/14038951995PDFTech ReportDetection and identification systemsComputer algor...
Practical aspects of identifying dynamic models for aircraft in real time were studied. Topics inclu...
This paper is concerned with the development of methods for the validation of complex non-linear mod...
A frequency-based performance identification approach was evaluated using flight data from the NASA ...
Pilot-in-the-loop characterizations are most naturally formulated in terms of end-to-end frequency r...
Models of the open-loop hover dynamics of the XV-15 Tilt-Rotor Aircraft are extracted from flight da...
A frequency domain maximum likelihood method is developed for the estimation of airplane stability a...
A method for real-time estimation of parameters in a linear dynamic state space model was developed ...
Presented at the AIAA Atmospheric Flight Mechanics, Chicago, IL, August, 2009.In-flight identificati...
M.Ing. (Electrical and Electronic Engineering)This treatise presents an investigation into the appli...
In a co-operation between Airbus-France, ONERA and DLR a signal analysis based on time-frequency tec...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/90729/1/AIAA-2011-6358-848.pd
There is considerable need for the application of system identification techniques to helicopters. T...
Purpose– The purpose of this paper is to identify the flexible aircraft model accurately from the fr...
With the demand for more advanced fighter aircraft, relying on unstable flight mechanical characteri...
https://doi.org/10.21949/14038951995PDFTech ReportDetection and identification systemsComputer algor...
Practical aspects of identifying dynamic models for aircraft in real time were studied. Topics inclu...
This paper is concerned with the development of methods for the validation of complex non-linear mod...
A frequency-based performance identification approach was evaluated using flight data from the NASA ...
Pilot-in-the-loop characterizations are most naturally formulated in terms of end-to-end frequency r...
Models of the open-loop hover dynamics of the XV-15 Tilt-Rotor Aircraft are extracted from flight da...
A frequency domain maximum likelihood method is developed for the estimation of airplane stability a...
A method for real-time estimation of parameters in a linear dynamic state space model was developed ...
Presented at the AIAA Atmospheric Flight Mechanics, Chicago, IL, August, 2009.In-flight identificati...
M.Ing. (Electrical and Electronic Engineering)This treatise presents an investigation into the appli...
In a co-operation between Airbus-France, ONERA and DLR a signal analysis based on time-frequency tec...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/90729/1/AIAA-2011-6358-848.pd