Model-based prognosis applied to a coupled four tank MIMO system

In this paper, we propose a sensorless approach for failure prognosis. The approach deals with nonlinear Multiple-Input Multiple-Output system subject to degradations. The aim of this work was to estimate online the duration before the system performance requirement is no longer met, this without ad...

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Bibliographic Details
Published inIFAC-PapersOnLine Vol. 51; no. 24; pp. 655 - 661
Main Authors Aggab, Toufik, Kratz, Frédéric, Avila, Manuel, Vrignat, Pascal
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 2018
Subjects
Control
MIMO system
Prognosis
Remaining Useful Life
Unknown Input Observer
MIMO system
Control
Prognosis
Remaining Useful Life
Unknown Input Observer
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Summary:In this paper, we propose a sensorless approach for failure prognosis. The approach deals with nonlinear Multiple-Input Multiple-Output system subject to degradations. The aim of this work was to estimate online the duration before the system performance requirement is no longer met, this without adding sensors. To carry out this aim, we used a Nonlinear Unknown Input Observer to estimate relevant parameters which are able to characterize system performance and a statistical inference method which is the maximum likelihood estimation to identify the models describing the parameter dynamics. To illustrate the performances of the approach, a simulated coupled four tank system was used.
ISSN:2405-8963
2405-8963
DOI:10.1016/j.ifacol.2018.09.645