Fault diagnosis observer for descriptor Takagi-Sugeno systems

This paper proposes a methodology to design a robust observer for Takagi–Sugeno descriptor (TS-D) systems with unmeasurable premise variables and its application to sensor fault detection and isolation. A robust H∞ approach is considered to minimize the effect of uncertainties given by the unmeasura...

Full description

Saved in:
Bibliographic Details
Published in:Neurocomputing (Amsterdam) 2019-02, Vol.331, p.10-17
Main Authors: López-Estrada, F.R., Theilliol, D., Astorga-Zaragoza, C.M., Ponsart, J.C., Valencia-Palomo, G., Camas-Anzueto, J.
Format: Article
Language:English
Subjects:
Automatic
Descriptor systems
Engineering Sciences
Fault detection
Fault isolation
Takagi–Sugeno systems
Unmeasurable premise variable
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper proposes a methodology to design a robust observer for Takagi–Sugeno descriptor (TS-D) systems with unmeasurable premise variables and its application to sensor fault detection and isolation. A robust H∞ approach is considered to minimize the effect of uncertainties given by the unmeasurable premise variables, disturbances and sensor noise. As a result, a set of relaxed linear matrix inequalities (LMI) are derived, which provides sufficient conditions to guarantee the convergence of the proposed state observer. Finally, a conventional fault detection scheme is considered by means of residual generation and evaluation. An academic example is given to illustrate the effectiveness of the proposed method.
ISSN:0925-2312
1872-8286
DOI:10.1016/j.neucom.2018.11.055