Estimation of modal parameters using a wavelet-based approach
Author(s) -
Rick Lind,
Marty Brenner,
Sydney Haley
Publication year - 1997
Publication title -
nasa sti repository (national aeronautics and space administration)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.1997-3836
Subject(s) - wavelet , modal , computer science , estimation , wavelet transform , artificial intelligence , pattern recognition (psychology) , engineering , materials science , polymer chemistry , systems engineering
Modal stability parameters are extracted directly from aeroservoelastic flight test data by decomposition of accelerometer response signals into time-frequency atoms. Logarithmic sweeps and sinusoidal pulses are used to generate DAST (drone for aerodynamic and structural testing) closed loop excitation data. Novel wavelets constructed to extract modal damping and frequency explicitly from the data are introduced. The so-called Haley and Laplace wavelets are used to track time-varying modal damping and frequency in a matching pursuit algorithm. Estimation of the trend to aeroservoelastic instability is demonstrated successfully from analysis of the DAST data.
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