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Évaluation de performance d’architecture de contrôle-commande en réseau dans un contexte incertain d’avant-vente

Abstract : This PhD dissertation, supported by CIFRE convention between the company Schneider-Electric and the University of Lorraine through the CRAN laboratory, deals with the assessment of temporal performances for a networked distributed control system. The industrial need was the development of a quotation and sizing tool of industrial control architecture during pre-sales stage. This stage is characterized by limited information about the process and the customers’ needs. The underlying scientific problematic was the ability to generate automatically models serving as support for the evaluation. In fact, performance assessment is realized for a wide range of architecture during a small amount of time, which is not compliant with a manual definition of the models. Our contribution is mainly based on a formal definition of a “builder” model with Colored and Timed Petri Nets which embeds mechanisms for configuration, instantiation and parameters setting of the architecture models. Several algorithms have been proposed for firstly build automatically the architecture Petri Nets model from a formal description of the topology and from a component model library and, secondly, for generating performance observers. Theses algorithms have been implemented on a tool gathering a user interface developed by Schneider –Electric and the Petri Nets simulator called CPN Tools which provides the performance assessment through Monte-Carlo simulation. The added value of this approach has been illustrated through case studies provided by Schneider-Electric
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https://tel.archives-ouvertes.fr/tel-01643690
Contributor : Abes Star :  Contact
Submitted on : Tuesday, November 21, 2017 - 3:48:24 PM
Last modification on : Wednesday, November 3, 2021 - 4:48:17 AM

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Moulaye A.A. Ndiaye. Évaluation de performance d’architecture de contrôle-commande en réseau dans un contexte incertain d’avant-vente. Automatique. Université de Lorraine, 2017. Français. ⟨NNT : 2017LORR0027⟩. ⟨tel-01643690⟩

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