Title :
Discrete inversion based FDI for sampled LPV systems
Author :
Szabó, Z. ; Edelmayer, A. ; Bokor, J.
Author_Institution :
Comput. & Autom. Res. Inst., Budapest, Hungary
Abstract :
The paper investigates the design problem for 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. The proposed method is illustrated through an application example concerning the detection of aileron and rudder faults on a commercial aircraft.
Keywords :
fault diagnosis; filtering theory; geometry; linear systems; matrix inversion; sampled data systems; stability; LPV model; aileron detection; commercial aircraft; design problem; discrete inversion based FDI; discretization method; dynamic inversion; fault detection-and-isolation; filter implementation; geometrical system theory; linear parameter varying systems; parameter varying invariant subspace concept; rudder faults; sampled LPV systems; system matrix; zero dynamic stability; Accuracy; Approximation methods; Differential equations; Nonlinear systems; Numerical stability; Stability analysis; Time measurement;
Conference_Titel :
Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-61284-800-6
Electronic_ISBN :
0743-1546
DOI :
10.1109/CDC.2011.6160432
