Title
Fractional-Order System Identification of Viscoelastic Behavior: A Frequency Domain Based Experimental Study
Abstract
In this work, the fractional-order modeling of viscoelastic behavior is investigated based on measurement data in the frequency domain. For the results of two different test setups we apply existing parameter estimation algorithms designed for fractional-order transfer functions. These algorithms require a priori knowledge of the system structure including the commensurate order of differentiation. An iterative procedure is used to evaluate the influence of the unknown structure. The measured polymer samples show a viscoelastic stress response. We can show that integer-order models are not capable of capturing this behavior. For a set of predefined structures, the best obtained fractional-order models, however, show a significant variation of parameters. The chosen structure also depends on the used algorithm, therefore additional considerations have to be included in the identification process to generate reliable physical models.
Year
DOI
Venue
2020
10.1109/AMC44022.2020.9244449
2020 IEEE 16th International Workshop on Advanced Motion Control (AMC)
Keywords
DocType
ISSN
frequency domain measurement data,parameter estimation algorithms,fractional-order transfer functions,polymer samples,viscoelastic stress response,integer-order models,predefined structures,fractional-order system identification,viscoelastic behavior,fractional-order modeling,commensurate order of differentiation,iterative procedure
Conference
1943-6572
ISBN
Citations 
PageRank 
978-1-7281-3190-0
0
0.34
References 
Authors
2
4
Name
Order
Citations
PageRank
Daniela Kapp100.34
Christoph Weise200.68
Michael Ruderman300.34
Johann Reger44017.29