Title :
LMI-based filter design for fault detection and isolation
Author :
Nobrega, E.G. ; Abdalla, M.O. ; Grigoriadis, K.M.
Author_Institution :
Dept. of Mech. Eng., Houston Univ., TX, USA
Abstract :
A linear matrix inequality (LMI) based filter design approach for fixed-order robust fault detection and isolation (FDI) is examined. The proposed filter design provides necessary and sufficient conditions for the existence of a solution to the detection and isolation of faults using an H∞ formulation. These conditions are expressed in terms of LMIs with matrix rank constraints, and a parameterization of all admissible filters is provided, which corresponds to a feasible solution. A convex LMI problem is obtained for the full-order FDI filter design. Finally, the proposed methods are demonstrated using a structural system simulation example, which include faulty actuators, sensors and external disturbances
Keywords :
continuous time filters; discrete time filters; fault diagnosis; filtering theory; linear systems; matrix algebra; rational functions; transfer functions; H∞ formulation; external disturbances; fault detection; fault isolation; faulty actuators; faulty sensors; linear matrix inequality based filter design; matrix rank constraints; necessary and sufficient conditions; structural system simulation; Actuators; Control systems; Fault detection; Filtering; Linear matrix inequalities; Matrix decomposition; Nonlinear filters; Riccati equations; Robustness; Sensor systems;
Conference_Titel :
Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6638-7
DOI :
10.1109/CDC.2001.914584