Robust fault detection and isolation via a diagnostic observer
Document Type
Article
Publication Date
12-15-2000
Publication Title
International Journal of Robust and Nonlinear Control
Volume
10
Issue
14
First Page
1175
Last Page
1192
Abstract
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.
DOI
10.1002/1099-1239(20001215)10:14<1175::AID-RNC522>3.0.CO;2-Q
ISSN
10498923
Recommended Citation
Xiong, Yi and Saif, Mehrdad. (2000). Robust fault detection and isolation via a diagnostic observer. International Journal of Robust and Nonlinear Control, 10 (14), 1175-1192.
https://scholar.uwindsor.ca/electricalengpub/420