Hybrid Co-simulation of FMUs using DEV&DESS in MECSYCOReportar como inadecuado




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1 LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications 2 CentraleSupélec 3 UMI2958 - Georgia Tech - CNRS Metz 4 EDF R&D - EDF Recherche et Développement 5 MADYNES - Management of dynamic networks and services Inria Nancy - Grand Est, LORIA - NSS - Department of Networks, Systems and Services

Abstract : Co-simulation is a key tool in the design and operation of a growing number of complex cyber-systems. But efficiently yet accurately combining continuous time components such as FMUs with event-based ones can be challenging, both from a modeling perspective and an operational, tools-oriented one. We propose a platform to tackle this problem building up on MECSYCO, a MAS-based DEVS wrapping platform dedicated to co-simulation. Relying on the ability of DEVS to integrate the DEV&DESS formalism -which offers a sound framework for describing hybrid models- we propose a DEV&DESS wrapper for FMU. This wrapper encapsulates a version of the DEV&DESS simulation algorithm for FMU components which is notably composed of: 1 a forecast strategy which searches for the next state-event; 2 a bisectional algorithm to approach the location of the state-change in an FMU. Our solution is implemented using Java and JavaFMI to control the FMU. Our sample case is the co-simulation of a barrel-filler factory implemented in different FMUs and event-based models. Compared to related works, our proposal is functional, generic, yet evolutionary, and benefits from the strong foundations of DEV&DESS.

Keywords : co-simulation hybrid model DEVS DEV&DESS FMI





Autor: Benjamin Camus - Virginie Galtier - Mathieu Caujolle - Vincent Chevrier - Julien Vaubourg - Laurent Ciarletta - Christine Bourjot

Fuente: https://hal.archives-ouvertes.fr/



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