Title :
Robust fault detection filtering for a class of uncertain nonlinear singular system
Author :
Behzadi, Saadat ; Shafiee, Masoud ; Zohrevand, Hassan
Author_Institution :
Electr. Eng. Dept., Amirkabir Univ. of Technol., Tehran, Iran
Abstract :
In this study, design of observer based Fault Detection (FD) is proposed for a class of Lipschitz singular systems, in which the nonlinearities appear both in the state and measured output equations. The system is supposed to have norm-bounded uncertainties in all the four realization matrices and the coefficients of disturbances. Synthesis of the H-/H∞ observer based Fault Detection is done through semi-definite programming and strict Linear Matrix Inequality (LMIs). The resulting H-/H∞ observer based fault detection guarantees asymptotic stability of the estimation error dynamics with pre-specified disturbance attenuation level. Furthermore, it is robust against parametric uncertainties.
Keywords :
asymptotic stability; control system synthesis; fault diagnosis; linear matrix inequalities; mathematical programming; nonlinear filters; nonlinear systems; observers; robust control; FD; H observer; H∞ observer; LMI; Lipschitz singular system; disturbance coefficient; estimation error dynamics asymptotic stability; linear matrix inequality; norm-bounded uncertainty; prespecified disturbance attenuation level; realization matrices; robust fault detection filtering; semidefinite programming; uncertain nonlinear singular system; Conferences; Decision support systems; Electrical engineering; Fault detection; Nonlinear systems; Observers; Robustness; Singular systems;
Conference_Titel :
Electrical Engineering (ICEE), 2015 23rd Iranian Conference on
Conference_Location :
Tehran
Print_ISBN :
978-1-4799-1971-0
DOI :
10.1109/IranianCEE.2015.7146348