Fault Detection of Backlash Phenomenon in Mechatronic System with Parameter Uncertainties Using Bond Graph Approach

Author

Djeziri, M.A. ; Merzouki, R. ; Bouamama, B. Ould ; Dauphin-Tanguy, G.

Author_Institution

LAGIS, UMR CNRS, Ecole Centrale de Lille

fYear

2006

fDate

25-28 June 2006

Firstpage

600

Lastpage

605

Abstract

This paper presents a method for fault detection and residuals evaluation, applied on electromechanical test bench system in the 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

Keywords

bond graphs; fault diagnosis; mechatronics; uncertain systems; DC motors; analytical redundancy relations; backlash phenomenon; bond graph approach; dead zone magnitude; electromechanical test bench system; fault detection; linear fractional transformation; mechatronic systems; parameter uncertainties; residuals evaluation; system parameter variation; Bonding; Electrical fault detection; Fault detection; Fault diagnosis; Mechatronics; Redundancy; Robustness; System testing; Uncertain systems; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics and Automation, Proceedings of the 2006 IEEE International Conference on

Conference_Location

Luoyang, Henan

Print_ISBN

1-4244-0465-7

Electronic_ISBN

1-4244-0466-5

Type

conf

DOI

10.1109/ICMA.2006.257639

Filename

4026151