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Wavelet Filtering to Reduce Conservatism in Aeroservoelastic Robust Stability MarginsWavelet analysis for filtering and system identification was used to improve the estimation of aeroservoelastic stability margins. The conservatism of the robust stability margins was reduced with parametric and nonparametric time-frequency analysis of flight data in the model validation process. Nonparametric wavelet processing of data was used to reduce the effects of external desirableness and unmodeled dynamics. Parametric estimates of modal stability were also extracted using the wavelet transform. Computation of robust stability margins for stability boundary prediction depends on uncertainty descriptions derived from the data for model validation. F-18 high Alpha Research Vehicle aeroservoelastic flight test data demonstrated improved robust stability prediction by extension of the stability boundary beyond the flight regime.
Document ID
19980028446
Acquisition Source
Armstrong Flight Research Center
Document Type
Thesis/Dissertation
Authors
Brenner, Marty (NASA Dryden Flight Research Center Edwards, CA United States)
Lind, Rick (NASA Dryden Flight Research Center Edwards, CA United States)
Date Acquired
September 6, 2013
Publication Date
March 1, 1998
Subject Category
Aircraft Stability And Control
Report/Patent Number
NAS 1.15:206545
NASA/TM-1998-206545
H-2222
AIAA Paper 98-1896
Meeting Information
Meeting: Structures, Structural Dynamics and Materials Conference
Location: Long Beach, CA
Country: United States
Start Date: April 20, 1998
End Date: April 23, 1998
Sponsors: American Inst. of Aeronautics and Astronautics
Funding Number(s)
PROJECT: RTOP 529-50-04
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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