Ultra Local Nonlinear Unknown Input Observers for Robust Fault Reconstruction

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

3 Citaten (Scopus)

Samenvatting

In this paper, we present a methodology for actuator and sensor fault estimation in nonlinear systems. The method consists of augmenting the system dynamics with an approximated ultra-local model (a finite chain of integrators) for the fault vector and constructing a Nonlinear Unknown Input Observer (NUIO) for the augmented dynamics. Then, fault reconstruction is reformulated as a robust state estimation problem in the augmented state (true state plus fault-related state). We provide sufficient conditions that guarantee the existence of the observer and stability of the estimation error dynamics (asymptotic stability of the origin in the absence of faults and ISS guarantees in the faulty case). Then, we cast the synthesis of observer gains as a semidefinite program where we minimize the ℒ2-gain from the model mismatch induced by the approximated fault model to the fault estimation error. Finally, simulations are given to illustrate the performance of the proposed methodology.

Originele taal-2Engels
Titel2022 IEEE 61st Conference on Decision and Control, CDC 2022
UitgeverijInstitute of Electrical and Electronics Engineers
Hoofdstuk9992945
Pagina's918-923
Aantal pagina's6
ISBN van elektronische versie9781665467612
DOI's
StatusGepubliceerd - 10 jan. 2023
Evenement2022 IEEE 61st Conference on Decision and Control (CDC) - The Marriott Cancún Collection, Cancun, Mexico
Duur: 6 dec. 20229 dec. 2022
Congresnummer: 61
https://cdc2022.ieeecss.org/

Congres

Congres2022 IEEE 61st Conference on Decision and Control (CDC)
Verkorte titelCDC 2022
Land/RegioMexico
StadCancun
Periode6/12/229/12/22
Internet adres

Financiering

This publication is part of the project Digital Twin project 4.3 with project number P18-03 of the research programme Perspectief which is (mainly) financed by the Dutch Research Council (NWO).

FinanciersFinanciernummer
Nederlandse Organisatie voor Wetenschappelijk Onderzoek

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