Influence of the Power Density Spectrum of the Excitation Signal on the Identification of Drives

被引：0

作者：

Villwock, Sebastian ^{[1
]}

Baumueller, Andreas ^{[1
]}

Pacas, Mario ^{[2
]}

Goetz, Fritz-Rainer ^{[1
,2
]}

Liu, Biao ^{[1
]}

Barinberg, Viktor ^{[1
]}

机构：

[1] Baumuller Nurnberg GmbH, Ostendstr 80-90, D-90482 Nurnberg, Germany

[2] Univ Siegen, Inst Power Elect & Dr, D-57076 Siegen, Germany

来源：

IECON 2008: 34TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-5, PROCEEDINGS | 2008年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper deals with the identification of the mechanical part of a drive. The applied method works in the frequency domain, uses a numerical least squares parameter fitting optimization method and yields the model function of the plant. The paper explains the mathematical background and analyzes the strong influence of the spectral characteristics of the excitation signal on the identification result. The presented experimental results clearly point out the efficiency of the proposed method.

引用

页码：1199 / +

页数：2

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