DocumentCode :
1661392
Title :
Robust fault detection observer design for LPV systems
Author :
Jianliang Chen ; Yong-Yan Cao
Author_Institution :
Dept. of Autom., Wuhan Univ. of Sci. & Technol., Wuhan, China
fYear :
2012
Firstpage :
504
Lastpage :
511
Abstract :
This paper addresses the mixed H-/H fault detection observer design problem for linear parameter-varying systems. The fault detection filter design is an optimal Luenberger observer synthesized which ensures guaranteed levels of fault detection in finite frequency domain and disturbance attenuation. With the aid of GKYP Lemma, extended Bounded Real Lemma, performance indexes are translated into a convex linear matrix inequality (LMI) optimization problem to avoid the complexity of system associated with weight functions. An iterative linear matrix inequality algorithm is given to obtain the solutions. The effectiveness of the filter is illustrated via a numerical example.
Keywords :
H control; fault diagnosis; iterative methods; linear matrix inequalities; linear systems; observers; robust control; GKYP Lemma; LMI optimization problem; LPV systems; convex linear matrix inequality optimization problem; disturbance attenuation; extended Bounded Real Lemma; fault detection filter design; finite frequency domain; iterative linear matrix inequality algorithm; linear parameter-varying systems; mixed H-/H fault detection observer design problem; optimal Luenberger observer; performance indexes; robust fault detection observer design; system complexity; Fault detection; Frequency-domain analysis; Indexes; Linear matrix inequalities; Observers; Robustness; Symmetric matrices; Fault detection; GKYP Lemma; H index; Minimum singular value; Stable Observer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2012 12th International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-1871-6
Electronic_ISBN :
978-1-4673-1870-9
Type :
conf
DOI :
10.1109/ICARCV.2012.6485210
Filename :
6485210
Link To Document :
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