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" Robust Aeroservoelastic Stability Analysis "
by Rick Lind, Marty Brenner.
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BL
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| Record Number
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573237
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b402456
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| Main Entry
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Lind, Rick.
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| Title & Author
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Robust Aeroservoelastic Stability Analysis : Flight Test Applications /\ by Rick Lind, Marty Brenner.
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| Publication Statement
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London :: Springer London,, 1999.
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| Series Statement
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Advances in Industrial Control,
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| ISBN
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9781447108498
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: 9781447112150
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| Contents
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Introduction -- Robust Stability Theory -- Structured Singular Value [mu] -- Dynamics of Flexible Flight Vehicles -- Formulating Aeroservoelastic Dynamics in the [mu] Framework -- Uncertainty Descriptions in Aeroservoelastic Models -- Model Validation of Uncertainty -- Robust Stability Margins -- Procedure for [mu] Method -- A Flutterometer Flight Test Tool -- Application: Robust Flutter Margins of a 2-DOF System -- Application: Robust Flutter Margins -- Application: Robust Flutter Margins of an F/A-18 -- Application: Robust Aeroservoelastic Margins of a Thrust-Vectoring F/A-18 -- Application: Sensitivity Analysis for a Commercial Transport Aircraft -- Application: Flight Test Predictions of Instability using a Flutterometer.
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| Abstract
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This book introduces a new method of analyzing aeroelasticity for flexible aircraft by applying robust stability theory. This method was developed to address several concerns with traditional methods and improve the efficiency of flight flutter testing. One advantage to this method is the ability to consider modeling errors in the analysis and generate a worst-case flutter margin. Another advantage is the ability to incorporate flight data directly into the analysis to ensure the model accounts for poorly modeled properties that are observed on the aircraft. The material covered provides a detailed explanation of the method to analyze robust stability margins using [mu]-analysis. It shows how to formulate aeroelastic models in the [mu] framework using standard state-space concepts. It also presents several ways to represent modeling errors in this framework and discusses how these errors relate to typical errors in aeroelastic models. Algorithms are listed that demonstrate how to apply these robustness concepts to general aircraft models and compute worst-case stability margins. Engineers working with flight test programs will be particularly interested in the material detailing methods of using flight data to update theoretical models and associated uncertainty descriptions. These methods represent a dramatic improvement over traditional analysis that separately analyze flight data and theoretical models. Incorporating the flight data presents the distinct benefit of ensuring the uncertainty description is a realistic representation of modeling errors so the worst-case stability margins are neither overly optimistic or conservative.
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| Subject
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Engineering.
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Engineering design.
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Machinery.
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| Added Entry
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Brenner, Marty.
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| Added Entry
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SpringerLink (Online service)
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