Online identification of a nonlinear mechatronic system

被引：17
|
作者：
Angerer, BT [1 ]
Hintz, C [1 ]
Schröder, D [1 ]
机构：
[1] Tech Univ Munich, Inst Elect Dr Syst, D-80333 Munich, Germany
来源：
CONTROL ENGINEERING PRACTICE | 2004年 / 12卷 / 11期
关键词：
gradient methods; identification; modeling and observers; neural networks; nonlinear systems; structural parameters; volterra series;
D O I：
10.1016/j.conengprac.2004.03.005
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a method to identify all physically relevant parameters and nonlinear characteristics of a mechatronic system is presented. For this purpose, the a priori known system structure is used. As an example, a nonlinear two-mass system with friction and backlash is identified. This approach is enhanced to identify systems with a partially unknown structure, which will be outlined by an example. Simulation and experimental results are presented as well. (C) 2004 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1465 / 1478
页数：14
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