Inversion based FDI for sampled LPV systems

Author

Szabó, Z. ; Edelmayer, A. ; Bokor, J.

Author_Institution

Comput. & Autom. Res. Inst., Hungarian Acad. of Sci., Budapest, Hungary

fYear

2010

fDate

6-8 Oct. 2010

Firstpage

82

Lastpage

87

Abstract

This paper investigates the detection filter design problem for the detection and isolation of faults in linear parameter varying (LPV) systems by means of dynamic inversion where the system matrix depends affinely from the parameters. A method for the construction of the inverse, relying on the concept of parameter varying invariant subspaces and related concepts of classical geometrical system theory is presented. A discretization method is proposed for the filter implementation that exploits the structure of the original LPV model, formulated in the continuous time, while maintaining the stability of the zero dynamics of the original system.

Keywords

continuous time systems; discrete systems; filtering theory; linear systems; stability; classical geometrical system theory; continuous time; detection filter design problem; discretization method; dynamic inversion; fault detection; fault isolation; linear parameter varying system; parameter varying invariant subspaces; sampled LPV system; system matrix; zero dynamics stability; Accuracy; Approximation methods; Differential equations; Mathematical model; Nonlinear systems; Numerical stability; Time measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Fault-Tolerant Systems (SysTol), 2010 Conference on

Conference_Location

Nice

Print_ISBN

978-1-4244-8153-8

Type

conf

DOI

10.1109/SYSTOL.2010.5676026

Filename

5676026