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Robust fault detection and isolation via a diagnostic observer
Author(s) -
Xiong Yi,
Saif Mehrdad
Publication year - 2000
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/1099-1239(20001215)10:14<1175::aid-rnc522>3.0.co;2-q
Subject(s) - fault detection and isolation , control theory (sociology) , observer (physics) , diagonal , computer science , transfer function , fault (geology) , linear system , filter (signal processing) , engineering , mathematics , actuator , control (management) , artificial intelligence , mathematical analysis , physics , geometry , quantum mechanics , seismology , geology , electrical engineering , computer vision
We present two methodologies for the design of robust fault isolation observer for linear uncertain systems. The proposed fault isolation observer is robust to structural uncertainties by producing disturbance decoupled residuals. The first method uses a direct eigenstructure assignment scheme to accomplish a diagonal transfer function between the faults and the residuals. The second method is carried out through transformation of the linear system under consideration into its special coordinate basis (SCB) form. Once the system is in SCB form, we propose a disturbance decoupled fault detection observer (DDFDO) which is combined either with Beard–Jones detection filter (BJDF) theory, or input estimation results. This will lead to the final proposed robust fault detection filter. Finally, two numerical examples are given in order to illustrate the validity and effectiveness of the proposed fault detection and isolation (FDI) strategy. Copyright © 2000 John Wiley & Sons, Ltd.