Robust inversion based fault estimation for discrete-time LPV systems
Artikel i vetenskaplig tidskrift, 2012

The article presents a state-space based Fault Diagnosis (FD) method for discrete-time, affine Linear Parameter Varying (LPV) systems. The goal of the technical note is to develop a robust and dynamic inversion based technique for systems with parameter varying representations when an additive, exogenous disturbance signal perturbs the system. After applying geometric concepts for explicit fault inversion, a robust strategy is proposed to attenuate the effect of the unknown disturbance input signal on the fault estimation error. The proposed robust observer is derived as a solution of off-line Linear Matrix Inequality (LMI) conditions. The technical note demonstrates the viability of the novel methodology through a numerical example.

robust observers

dynamic inversion

fault detection and isolation

fault diagnosis (FD)

Discrete-time linear parameter varying (LPV) systems

Författare

Balázs Adam Kulcsár

Chalmers, Signaler och system

M. Verhaegen

TU Delft

IEEE Transactions on Automatic Control

0018-9286 (ISSN) 1558-2523 (eISSN)

Vol. 57 6 1581-1586 6082383

Styrkeområden

Transport

Ämneskategorier

Kommunikationssystem

Robotteknik och automation

Reglerteknik

DOI

10.1109/TAC.2011.2176160

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Senast uppdaterat

2019-05-07