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

被引：37

作者：

Nevaranta, Niko ^{[1
]}

Derammelaere, Stijn ^{[2
]}

Parkkinen, Jukka ^{[1
]}

Vervisch, Bram ^{[2
]}

Lindh, Tuomo ^{[1
]}

Stockman, Kurt ^{[2
]}

Niemela, Markku ^{[1
]}

Pyrhonen, Olli ^{[1
]}

Pyrhonen, Juha ^{[1
]}

机构：

[1] Lappeenranta Univ Technol, Dept Elect Engn, Lappeenranta 53850, Finland

[2] Univ Ghent, Dept Elect Energy Syst & Automat, BE-8510 Kortrijk, Belgium

来源：

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 2016年 / 63卷 / 09期

关键词：

Nonparametric estimation; online identification; servomechanism; sliding discrete Fourier transform (SDFT); DRIVE SYSTEM; OBSERVER; DYNAMICS; INERTIA;

D O I：

10.1109/TIE.2016.2574303

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 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.

引用

页码：5712 / 5723

页数：12

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