article · 1997
Flight Test Data
Martin J. Brenner, Martin J. Brenner
Cited by 0Abstract and details only
Abstract
Time-frequency signal representations combined with subspace identification methods were used to analyze aeroelastic flight data from the F/A-18 Systems Research Aircraft (SRA) and aeroservoelastic data from the F/A-18 High Alpha Research Vehicle (HARV). The F/A-18 SRA data were produced from a wingtip excitation system that generated linear frequency chirps and logarithmic sweeps. HARV data were acquired from digital Schroeder-phased and sinc pulse excitation signals to actuator commands. Nondilated continuous Morlet wavelets implemented as a filter bank were chosen for the time-frequency analysis to eliminate phase distortion as it occurs with sliding window discrete Fourier transform techniques. Wavelet coefficients were filtered to reduce effects of noise and nonlinear distortions identically in all inputs and outputs. Cleaned reconstructed time domain signals were used to compute improved transfer functions. Time and frequency domain subspace identification methods were applied to enhanced reconstructed time domain data and improved transfer functions, respectively. Time domain subspace performed poorly, even with the enhanced data, compared with frequency domain techniques. A frequency domain subspace method is shown to produce better results with the data processed using the Morlet time-frequency technique. NOMENCLATURE a wavelet scaling parameter
Cite this paper
Brenner, M. J., & Brenner, M. J. (1997). Flight Test Data.
Brenner, Martin J., and Martin J. Brenner. “Flight Test Data.” 1997.
Brenner, Martin J., and Martin J. Brenner. 1997. “Flight Test Data.”
Brenner, M.J. and Brenner, M.J. (1997) ‘Flight Test Data’.
@article{brenner1997flight,
title = {{Flight Test Data}},
author = {Brenner, Martin J. and Brenner, Martin J.},
year = {1997}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.