Imperial College London
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DrLudovicRenson

Faculty of Engineering, Department of Mechanical Engineering

Senior Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 7088l.renson

 
 
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Location

 

558City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Lee:2023:10.1007/978-3-031-04086-3_9,
author = {Lee, KH and Barton, D and Renson, L},
doi = {10.1007/978-3-031-04086-3_9},
pages = {61--63},
publisher = {Springer International Publishing},
title = {Mathematical Model Identification of Self-Excited Systems Using Experimental Bifurcation Analysis Data},
url = {http://dx.doi.org/10.1007/978-3-031-04086-3_9},
year = {2023}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Self-excited vibrations can be found in many engineering applications such as flutter of aerofoils, stick-slip vibrations in drill strings, and wheel shimmy. These self-excited vibrations are generally unwanted since they can cause serious damage to the system. To avoid such phenomena, an accurate mathematical model of the system is crucial. Self-excited systems are typically modelled as dynamical systems with Hopf bifurcations. The identification of such non-linear dynamical system from data is much more challenging compared to linear systems.In this research, we propose two different mathematical model identification methods for self-excited systems that use experimental bifurcation analysis data. The first method considers an empirical mathematical model whose coefficients are identified to fit the measured bifurcation diagram. The second approach considers a fundamental Hopf normal form model and learns a data-driven coordinate transformation mapping the normal form state-space to physical coordinates. The approaches developed are applied to bifurcation data collected on a two degree-of-freedom flutter rig and the two methods show promising results. The advantages and disadvantages of the methods are discussed.
AU  - Lee,KH
AU  - Barton,D
AU  - Renson,L
DO  - 10.1007/978-3-031-04086-3_9
EP  - 63
PB  - Springer International Publishing
PY  - 2023///
SN  - 2191-5644
SP  - 61
TI  - Mathematical Model Identification of Self-Excited Systems Using Experimental Bifurcation Analysis Data
UR  - http://dx.doi.org/10.1007/978-3-031-04086-3_9
UR  - https://link.springer.com/chapter/10.1007/978-3-031-04086-3_9
UR  - http://hdl.handle.net/10044/1/99506
ER  -
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