Fault detection of backlash phenomenon in mechatronic system with parameter uncertainties using bond graph approach

被引：12
|
作者：
Djeziri, M. A. [1 ]
Merzouki, R. [1 ]
Bouamama, B. Ould [1 ]
Dauphin-Tanguy, G. [1 ]
机构：
[1] CNRS, UMR 8146, LAGIS, Ecole Cent Lyon, BP 48, F-59651 Villeneuve Dascq, France
来源：
IEEE ICMA 2006: PROCEEDING OF THE 2006 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS 1-3, PROCEEDINGS | 2006年
关键词：
D O I：
10.1109/ICMA.2006.257639
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper present a method for fault detection and residuals evaluation, applied on electromechanical test bench system in presence of backlash phenomenon and parameter uncertainties. The Analytical redundancy relations (ARRS) are generated using uncertain bond graph model, in linear fractional transformation form(LFT). Through the presented method, one can distinguish between backlash default and system parameter variation. Simulation tests presented in this paper, show the influence of dead zone magnitude and system parameters variations on residuals evaluation.
引用
收藏
页码：600 / +
页数：2
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