Non Invasive Identification of Servo Drive Parameters

被引：0

作者：

Neugebauer, R. ^{[1
]}

Hellmich, A. ^{[1
]}

Hofmann, S. ^{[1
]}

Schlegel, H. ^{[1
]}

机构：

[1] Tech Univ Chemnitz, Fac Mech Engn, Inst Machine Tools & Prod Proc, D-09126 Chemnitz, Germany

来源：

MECHATRONICS: RECENT TECHNOLOGICAL AND SCIENTIFIC ADVANCES | 2011年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

For the tuning of servo controllers as well as for monitoring functions, significant parameters of the controlled system are required. In contrast to identification methods with determined input signals, the paper focuses on the problem of identification with regular process movements (non invasive identification), leading to a lack of power density in some frequency ranges. A nonlinear Least Squares (LS) approach with single mass system and friction characteristic is investigated regarding the accomplishable accuracy and necessary constraints. The proposed method is applicable on industrial motion controllers and has been carried out with a multitude of input sequences. To verify the performance of the approach, achieved experimental results for the model parameters are exposed.

引用

页码：79 / 87

页数：9