DocumentCode
189312
Title
Robust fault detection design for unknown inputs Takagi-Sugeno models with parametric uncertainties and time-varying delays
Author
Ahmadizadeh, Saeed ; Karimi, Hamid Reza ; Zarei, Jafar
Author_Institution
Melbourne Univ., Melbourne, VIC, Australia
fYear
2014
fDate
24-27 June 2014
Firstpage
756
Lastpage
761
Abstract
This paper deals with the design of robust fault detection system for Takagi-Sugeno (T-S) modes with parametric uncertainties and time-varying delay. An Unknown Input Observer (UIO) is designed such that the unknown inputs are thoroughly decoupled from residual signals while they show the maximum possible sensitivity to the faults and the minimum possible sensitivity to the external disturbances. Since the system under consideration is subjected to parametric uncertainties, the H∞ model matching approach is used to design an optimal observer. Design procedure is given in terms of Linear Matrix Inequalities (LMIs). Finally, a numerical example is presented to show the effectiveness of the proposed method.
Keywords
H∞ control; control system synthesis; delay systems; fault diagnosis; fuzzy control; linear matrix inequalities; observers; robust control; time-varying systems; H∞ model matching approach; LMIs; T-S modes; UIO; external disturbances; linear matrix inequalities; maximum possible sensitivity; optimal observer design; parametric uncertainties; residual signals; robust fault detection design; time-varying delays; unknown input Takagi-Sugeno models; unknown input observer; Delays; Fault detection; Observers; Robustness; Sensitivity; Symmetric matrices; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (ECC), 2014 European
Conference_Location
Strasbourg
Print_ISBN
978-3-9524269-1-3
Type
conf
DOI
10.1109/ECC.2014.6862449
Filename
6862449
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