loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Hamid Behzad 1 ; Alessandro Casavola 2 ; Francesco Tedesco 2 ; Mohammad Ali Sadrnia 1 and Gianfranco Gagliardi 2

Affiliations: 1 Shahrood University of Technology and Iran ; 2 University of Calabria, DIMES and Italy

Keyword(s): Sensor Reconciliation, Fault Estimation, LPV Luenberger Observer.

Abstract: This paper presents a fault-tolerant sensor reconciliation scheme for systems equipped with a redundant number of possibly faulty ”physical” sensors. The reconciliator is in charge to discover on-line, at each time instant, the faulty physical sensors, if any, and exclude their measures from the generation of the ”virtual” sensors, which, on the contrary, are supposed to be always healthy and suitably usable for control purposes without requiring the reconfiguration of the nominal control law. Amongst many, the solution proposed here is based on the use of a Linear Parameter Varying Luenberger Observers (LPV-LU) able to estimate both state, bias fault and loss of effectiveness fault. Such information is used to self adapting the parameters of the LPV representation. For simplicity, the sensor faults here considered are limited to variation of sensors’ gain and offset values. The scheme is fully described and all of its properties investigated and proved. Finally, a simulation example is reported in details to show the effectiveness of the scheme. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.146.105.194

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Behzad, H.; Casavola, A.; Tedesco, F.; Ali Sadrnia, M. and Gagliardi, G. (2018). A Fault-Tolerant Sensor Reconciliation Scheme based on Self-Tuning LPV Observers. In Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-321-6; ISSN 2184-2809, SciTePress, pages 111-118. DOI: 10.5220/0006840501110118

@conference{icinco18,
author={Hamid Behzad. and Alessandro Casavola. and Francesco Tedesco. and Mohammad {Ali Sadrnia}. and Gianfranco Gagliardi.},
title={A Fault-Tolerant Sensor Reconciliation Scheme based on Self-Tuning LPV Observers},
booktitle={Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2018},
pages={111-118},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006840501110118},
isbn={978-989-758-321-6},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - A Fault-Tolerant Sensor Reconciliation Scheme based on Self-Tuning LPV Observers
SN - 978-989-758-321-6
IS - 2184-2809
AU - Behzad, H.
AU - Casavola, A.
AU - Tedesco, F.
AU - Ali Sadrnia, M.
AU - Gagliardi, G.
PY - 2018
SP - 111
EP - 118
DO - 10.5220/0006840501110118
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic