Title :
Fault detection for linear uncertain systems with sensor faults
Author :
Yang, Guang-Hong ; Wang, Huifang
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fDate :
6/1/2010 12:00:00 AM
Abstract :
The study paper deals with sensor fault detection problem for a class of linear uncertain systems with bounded disturbances and non-zero constant reference inputs. The sensor faults are modelled as multi-mode, named as fault-free mode and faulty modes. A steady-state-based approach is proposed to detect the sensor faults. The steady-state-based approach can be used to detect lock-in-place sensor faults with arbitrary small magnitudes, which has not been well investigated in the literature. A convergent iterative algorithm based on linear matrix inequalities is given to obtain the solutions. A numerical example is given to illustrate the effectiveness of the proposed methods.
Keywords :
fault diagnosis; fault trees; iterative methods; linear matrix inequalities; linear systems; reliability theory; sensors; uncertain systems; convergent iterative algorithm; fault detection problem; linear matrix inequalities; linear uncertain systems; lock-in-place sensor faults; steady-state-based approach;
Journal_Title :
Control Theory & Applications, IET
DOI :
10.1049/iet-cta.2008.0530