Robust Aeroservoelastic Stability Analysis
Flight Test Applications
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Author
Contributions
- Brenner, Marty - Contributor
Publication
1999 - Springer London, London, England
Language
English
Word Count
51,250 words, Guess
Page Count
205 pages
Physical Format
Electronic resource
Identifiers
- Internet Archiverobustaeroservoe00phdr
- ISBN-101447108493
- ISBN-101447112156
- ISBN-139781447108498
- ISBN-139781447112150
and 3 more
- OCLC Control Number858877214
- Better World Books9781447112150
- Open LibraryOL27085843M
Classifications
- DDC620.0042
- LCCTA174
- LCCTA174TS1-2301TL1-483
Description
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 -analysis. It shows how to formulate aeroelastic models in the 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.
Series Statement
- Advances in Industrial Control
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