A Fault-Tolerant Sensor Reconciliation Scheme based on Self-Tuning LPV Observers

Hamid Behzad, Alessandro Casavola, Francesco Tedesco, Mohammad Ali Sadrnia, Gianfranco Gagliardi

2018

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.

Paper Citation

in Harvard Style

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, pages 111-118. DOI: 10.5220/0006840501110118

in Bibtex Style

@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},
}

in EndNote Style

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
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