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A New Hybrid Robust Fault Detection of Switching Systems by Combination of Observer and Bond Graph Method
Author(s) -
Mohammad Ghasem Kazemi,
Mohsen Montazeri
Publication year - 2018
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v8i4.pp2157-2171
Subject(s) - bond graph , control theory (sociology) , parametric statistics , fault detection and isolation , redundancy (engineering) , computer science , residual , observer (physics) , attenuation , sensitivity (control systems) , mathematics , algorithm , control (management) , engineering , statistics , artificial intelligence , physics , combinatorics , quantum mechanics , electronic engineering , optics , actuator , operating system
In this paper, the problem of robust Fault Detection (FD) for continuous time switched system is tackled using a hybrid approach by combination of a switching observer and Bond Graph (BG) method. The main criteria of an FD system including the fault sensitivity and disturbance attenuation level in the presence of parametric uncertainties are considered in the proposed FD system. In the first stage, an optimal switching observer based on state space representation of the BG model is designed in which simultaneous fault sensitivity and disturbance attenuation level are satisfied using H=H1 index. In the second stage, the Global Analytical Redundancy Relations (GARRs) of the switching system are derived based on the output estimation error of the observer, which is called Error-based Global Analytical Redundancy Relations (EGARRs). The parametric uncertainties are included in the EGARRs, which define the adaptive thresholds on the residuals. A constant term due to the effect of disturbance is also considered in the thresholds. In fact, a two-stage FD system is proposed wherein some criteria may be considered in each stage. The efficiency of the proposed method is shown for a two-tank system.

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