DocumentCode :
2788234
Title :
Fault detection and estimation for LTI systems and its application to a lab robotic manipulator
Author :
Wei, Xiukun ; Liu, Lihua ; Verhaegen, Michel
Author_Institution :
Delft Center for Syst. & Control, Delft Univ. of Technol., Delft, Netherlands
fYear :
2009
fDate :
17-19 June 2009
Firstpage :
1595
Lastpage :
1600
Abstract :
This paper addresses the fault detection and fault estimation issues for linear discrete time invariant (LTI) systems subject to unknown disturbances. The underlying problems are investigated based on the generalized KYP lemma in the finite frequency domain. In this paper, a new LMIs solution to the fault detection issue is proposed, which is slightly different from the available result and the set of LMIs are also simpler. A fault estimation method which focus on estimating the low frequency faults is also proposed. The fault detection and fault estimation techniques are further applied to a lab robotic manipulator.
Keywords :
discrete time systems; fault diagnosis; linear matrix inequalities; manipulator dynamics; manipulators; parameter estimation; position control; fault detection; finite frequency domain; lab robotic manipulator; linear discrete time invariant systems; linear matrix inequalities solution; low frequency fault estimation; Fault detection; Filters; Frequency domain analysis; Frequency estimation; Information science; Manipulators; Mathematical model; Robotics and automation; Robots; Transfer functions; Fault Detection; Fault Estimation; Finite frequency; GKYP lemma; Robotic Manipulator;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
Type :
conf
DOI :
10.1109/CCDC.2009.5192198
Filename :
5192198
Link To Document :
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