Robust Fault Diagnosis Observer of Dynamical Systems Modelled by Bond Graph Approach

Abstract This paper proposes a robust diagnosis observer of dynamical systems modeled by Bond Graph approach. The observer design is achieved by using graphical methods taking advantage of structural properties of the bond graph model. The fault indicators are generated in the presence of parameter uncertainties. Simulation results are used to show the dynamic behavior of system variables and to evaluate the performance of the observer for fault diagnosis.

[1]  Didier Maquin,et al.  Diagnosis of an uncertain static system , 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).

[2]  Marcel Staroswiecki,et al.  Model builder using functional and bond graph tools for FDI design , 2005 .

[3]  J. Gauthier,et al.  A simple observer for nonlinear systems applications to bioreactors , 1992 .

[4]  C. Sueur,et al.  Structural controllability/observability of linear systems represented by bond graphs , 1989 .

[5]  G.C. Andrews System dynamics: A unified approach , 1977, Proceedings of the IEEE.

[6]  G. Dauphin-Tanguy,et al.  Robust Fault Diagnosis by Using Bond Graph Approach , 2007, IEEE/ASME Transactions on Mechatronics.

[7]  Ahmed Rahmani,et al.  Using the bicausality concept to build reduced order observers in linear time invariant systems modelled by bond graph , 2003, 2003 European Control Conference (ECC).

[8]  R. N. Claek Instrument Fault Detection , 1978 .

[9]  R. Clark A Simplified Instrument Failure Detection Scheme , 1978, IEEE Transactions on Aerospace and Electronic Systems.

[10]  C. Sueur,et al.  Bond-graph approach for structural analysis of MIMO linear systems , 1991 .

[11]  Dean Karnopp,et al.  Bond graphs in control: Physical state variables and observers , 1979 .

[12]  Singiresu S Rao,et al.  A Comparative Study of Evidence Theories in the Modeling, Analysis, and Design of Engineering Systems , 2013 .

[13]  D. Luenberger An introduction to observers , 1971 .

[14]  Rolf Isermann,et al.  Fault diagnosis of machines via parameter estimation and knowledge processing - Tutorial paper , 1991, Autom..