Fault detection and isolation for stochastic linear hybrid systems

Author

Seah, Chze Eng ; Hwang, Inseok

Author_Institution

Sch. of Aeronaut. & Astronaut., Purdue Univ., West Lafayette, IN, USA

fYear

2009

fDate

15-18 Dec. 2009

Firstpage

2622

Lastpage

2627

Abstract

A model-based fault detection and isolation (FDI) scheme is proposed for a stochastic linear hybrid system (SLHS) which has both discrete state dynamics and linear continuous state dynamics. We first propose a residual generation filter for the SLHS. It is shown that this filter generates a residual vector with zero mean and a known covariance when the SLHS matches the plant dynamics. Based on the known statistical properties of the residual, we then design a FDI scheme based on multiple hypothesis testing. We illustrate an application of the FDI scheme to an aircraft autolanding system.

Keywords

continuous systems; decision making; discrete systems; fault diagnosis; filtering theory; linear systems; stochastic systems; aircraft autolanding system; discrete state dynamics; linear continuous state dynamics; model based fault detection; model based fault isolation; multiple hypothesis testing; residual generation filter; stochastic linear hybrid systems; Aerodynamics; Aircraft; Fault detection; Hidden Markov models; Matched filters; Particle filters; Safety; Stochastic systems; Testing; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on

Conference_Location

Shanghai

ISSN

0191-2216

Print_ISBN

978-1-4244-3871-6

Electronic_ISBN

0191-2216

Type

conf

DOI

10.1109/CDC.2009.5400687

Filename

5400687