A1 Journal article (refereed), original research

Online Identification of a Mechanical System in Frequency Domain using Sliding DFT


Publication Details
Authors: Nevaranta Niko, Derammelaere Stijn, Parkkinen Jukka, Vervisch Bram, Lindh Tuomo, Stockman Kurt, Niemelä Markku, Pyrhönen Olli, Pyrhönen Juha
Publication year: 2016
Language: English
Related Journal or Series Information: IEEE Transactions on Industrial Electronics
Start page: 1
End page: 12
JUFO-Level of this publication: 3
Open Access: Not an Open Access publication

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.

Research Areas

Last updated on 2018-19-10 at 08:49