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Online identification of a mechanical system in frequency domain using sliding DFT

Niko Nevaranta, Stijn Derammelaere UGent, Jukka Parkkinen, Bram Vervisch UGent, Tuomo Lindh, Kurt Stockman UGent, Markku Niemelä, Olli Pyrhönen and Juha Pyrhönen (2016) IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS. 63(9). p.5712-5723
abstract
A proper real-time system identification method is of great importance in order to acquire an analytical model that sufficiently represents the characteristics of the monitored system. While the use of different time-domain online identification techniques has been widely recognized as a powerful approach to system diagnostics, the frequency-domain identification techniques have primarily been considered for offline commissioning purposes. This paper addresses issues in the online frequency-domain identification of a mechanical system with varying dynamics; particular attention is paid to detect the changes in the system dynamics. A closed- loop online identification method is presented that is based on a Sliding Discrete Fourier Transform (SDFT) at a selected set of frequencies. The method is experimentally validated by a closed-loop controlled servomechanism with a limited stroke and time-varying parameters.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
DRIVE SYSTEM, Sliding DFT, Servomechanism, Nonparametric estimation, Online identification, FRICTION, DYNAMICS, OBSERVER, INERTIA
journal title
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
volume
63
issue
9
pages
5712 - 5723
Web of Science type
Article
Web of Science id
000384641600042
JCR category
AUTOMATION & CONTROL SYSTEMS
JCR impact factor
7.168 (2016)
JCR rank
1/60 (2016)
JCR quartile
1 (2016)
ISSN
0278-0046
DOI
10.1109/TIE.2016.2574303 Published: SEP 2016 View Journal Information
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
7224661
handle
http://hdl.handle.net/1854/LU-7224661
date created
2016-05-24 10:47:32
date last changed
2016-12-19 15:45:30
@article{7224661,
  abstract     = {A proper real-time system identification method is of great importance in order to acquire an analytical model that sufficiently represents the characteristics of the monitored system. While the use of different time-domain online identification techniques has been widely recognized as a powerful approach to system diagnostics, the frequency-domain identification techniques have primarily been considered for offline commissioning purposes. This paper addresses issues in the online frequency-domain identification of a mechanical system with varying dynamics; particular attention is paid to detect the changes in the system dynamics. A closed- loop online identification method is presented that is based on a Sliding Discrete Fourier Transform (SDFT) at a selected set of frequencies. The method is experimentally validated by a closed-loop controlled servomechanism with a limited stroke and time-varying parameters.},
  author       = {Nevaranta, Niko and Derammelaere, Stijn and Parkkinen, Jukka and Vervisch, Bram and Lindh, Tuomo and Stockman, Kurt and Niemel{\"a}, Markku and Pyrh{\"o}nen, Olli and Pyrh{\"o}nen, Juha},
  issn         = {0278-0046},
  journal      = {IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS},
  keyword      = {DRIVE SYSTEM,Sliding DFT,Servomechanism,Nonparametric estimation,Online identification,FRICTION,DYNAMICS,OBSERVER,INERTIA},
  language     = {eng},
  number       = {9},
  pages        = {5712--5723},
  title        = {Online identification of a mechanical system in frequency domain using sliding DFT},
  url          = {http://dx.doi.org/10.1109/TIE.2016.2574303 Published: SEP 2016 View Journal Information},
  volume       = {63},
  year         = {2016},
}

Chicago
Nevaranta, Niko, Stijn Derammelaere, Jukka Parkkinen, Bram Vervisch, Tuomo Lindh, Kurt Stockman, Markku Niemelä, Olli Pyrhönen, and Juha Pyrhönen. 2016. “Online Identification of a Mechanical System in Frequency Domain Using Sliding DFT.” Ieee Transactions on Industrial Electronics 63 (9): 5712–5723.
APA
Nevaranta, N., Derammelaere, S., Parkkinen, J., Vervisch, B., Lindh, T., Stockman, K., Niemelä, M., et al. (2016). Online identification of a mechanical system in frequency domain using sliding DFT. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 63(9), 5712–5723.
Vancouver
1.
Nevaranta N, Derammelaere S, Parkkinen J, Vervisch B, Lindh T, Stockman K, et al. Online identification of a mechanical system in frequency domain using sliding DFT. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS. 2016;63(9):5712–23.
MLA
Nevaranta, Niko, Stijn Derammelaere, Jukka Parkkinen, et al. “Online Identification of a Mechanical System in Frequency Domain Using Sliding DFT.” IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 63.9 (2016): 5712–5723. Print.