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
         
        
        
        
        
        
            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;
         
        
        
        
            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
         
        
        
            DOI : 
10.1109/CCDC.2009.5192198