@inproceedings{99ebac2fa9974308b5e1349f5e36fe3e,
title = "Parameter identification of a torsional vibration damper in frequency domain using adjoint fourier coefficients",
abstract = "The adjoint method is a very powerful tool for parameter identification or optimal control in time domain. In most cases the results lead to some kind of best-fit solution, which means that high frequency components with low amplitudes are not considered. However, in this contribution we present an approach for the identification of parameters which influences the system at special frequencies or frequency ranges. The basic idea is to compute the Fourier coefficients for the relevant oscillations. Then, the cost function consists of the difference of the amplitudes from the simulation and a measured value e.g., from a test bench. The derivation and computation of the gradient of the cost function with the adjoint method is presented and applied to a complex four-cylinder engine model in order to identify the parameters of a torsional vibration damper (TVD).",
keywords = "Adjoint system, Engine orders, Fourieranalysis, Frequency domain, Multibody dynamics, Optimization, Order analysis, Parameter identification, Window functions",
author = "Thomas Lau{\ss} and Stefan Oberpeilsteiner and Wolfgang Steiner and Karin Nachbagauer and Stefan Reichl",
note = "Publisher Copyright: {\textcopyright} 2017 National Technical University of Athens. All rights reserved.; 8th ECCOMAS Thematic Conference on MULTIBODY DYNAMICS, MBD 2017 ; Conference date: 19-06-2017 Through 22-06-2017",
year = "2017",
language = "English",
series = "Proceedings of the 8th ECCOMAS Thematic Conference on MULTIBODY DYNAMICS 2017, MBD 2017",
publisher = "National Technical University of Athens",
pages = "515--526",
editor = "Pavel Polach and Jan Zavrel and Michael Valasek and Michal Hajzman and Zdenek Neusser and Zbynek Sika and Tomas Vampola and Petr Benes",
booktitle = "Proceedings of the 8th ECCOMAS Thematic Conference on MULTIBODY DYNAMICS 2017, MBD 2017",
}