LPV Model Identification for Flutter Prediction: A Comparison of Methods

This paper compares four LPV identification methods: local, global, and glocal, for flutter prediction and modeling. Important properties of the methods are highlighted and simulations are performed to compare the performance, using a bending-torsion flutter model from literature. Results show that...

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Bibliographic Details
Published inIFAC-PapersOnLine Vol. 48; no. 26; pp. 121 - 126
Main Authors Visser, M., Navalkar, S.T., Wingerden, J.W. van
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 2015
Subjects
flutter prediction
LPV identification
modeling
optimization
flutter prediction
LPV identification
modeling
optimization
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Summary:This paper compares four LPV identification methods: local, global, and glocal, for flutter prediction and modeling. Important properties of the methods are highlighted and simulations are performed to compare the performance, using a bending-torsion flutter model from literature. Results show that a trade-off between bias and variance exists for the local and global method, after which a glocal method can further improve performance.
ISSN:2405-8963
2405-8963
DOI:10.1016/j.ifacol.2015.11.124