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Worst-case flutter margins from F/A-18 aircraft aeroelastic data
Author(s) -
Rick Lind,
Marty Brenner
Publication year - 1997
Publication title -
28th structures, structural dynamics and materials conference
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.1997-1266
Subject(s) - flutter , flight envelope , aeroelasticity , envelope (radar) , control theory (sociology) , stability (learning theory) , margin (machine learning) , uncertainty quantification , aerodynamics , computer science , singular value , mathematics , mathematical optimization , engineering , aerospace engineering , statistics , physics , artificial intelligence , eigenvalues and eigenvectors , radar , control (management) , quantum mechanics , machine learning
An approach for computing worst-case flutter margins has been formulated in a robust stability framework. Uncertainty operators are included with a linear model to describe modeling errors and flight variations. The structured singular value, pt, computes a stability margin which directly accounts for these uncertainties. This approach introduces a new method of computing flutter margins and an associated new parameter for describing these margins. The n margins are robust margins which indicate worst-case stability estimates with respect to the defined uncertainty. Worst-case flutter margins are computed for the F/A-18 SRA using uncertainty sets generated by flight data analysis. The robust margins demonstrate flight conditions for flutter may lie closer to the flight envelope than previously estimated by p-k analysis.

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