Title :
A LMI Approach for Robust Fault Detection Based on H2/ H∞ Setting
Author :
Liqian Dou ; Qun Zong ; Weijia Wang
Author_Institution :
Coll. of Electr. & Autom. Eng., Tianjin Univ.
Abstract :
The robust fault detection problem for linear time invariant (LTI) with both disturbances: unknown finite energy and white noise disturbances is studied. The first step, a residual generator based on filter with H2 / Hinfin setting is designed. The gain matrix of filter is then resolved by solving a convex minimization problem with a set of linear matrix inequality (LMI) constrains. Moreover, based on this a certain robust detection threshold is designed in order to realize the robustness to disturbances and the sensitivity to the faults to be detected. At last, the simulated results show the robust detection approach proposed in this paper can detect effectively the real faults from the disturbances
Keywords :
Hinfin control; linear matrix inequalities; robust control; white noise; H2/Hinfin setting; LMI approach; convex minimization problem; finite energy disturbance; linear matrix inequality constrains; linear time invariant; residual generator; robust fault detection; white noise disturbance; Automation; Cities and towns; Educational institutions; Electrical fault detection; Fault detection; Linear matrix inequalities; Noise robustness; Nonlinear filters; Robust control; White noise; H; Linear matrix inequality; Residual signal; Robust fault detection;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1714124
