Study about decomposition and integration of continuous systems in discrete environment - Archive ouverte HAL Access content directly
Conference Papers Year : 2016

Study about decomposition and integration of continuous systems in discrete environment

(1, 2) , (1) , (3, 2) , (1, 2)
1
2
3

Abstract

A complex system is one composed of many interacting heterogeneous entities. This kind of system can be dealt with multi-modeling and co-simulation but individual models may also be heterogeneous (continuous , discrete, event-based...). To manage this complexity , we use MECSYCO (Multi-agent Environment for Complex-SYstem CO-simulation) a DEVS compliant environment for co-simulation. MECSYCO handles heterogeneity issues, but the number of models which may interact during a co-simulation of a complex system raises also performance issues. So it's important to develop performance measurement tools to study MECSYCO's co-simulation performances. In this article we present modular performance measurement tools for MECSYCO. We test these tools on our " Multi-Room Heating " model, a scalable continuous system, to assert the tradeoff between accuracy and computational time when integrating continuous system in a discrete modeling environment. Then we study the impact of decomposing a continuous system contained in one FMU into several FMUs which interact. We verify the validity of our tools and we show that, under some conditions, a large model that cannot be solved on one block, can be decomposed into smaller ones, solved and simulated in a co-simulation on MECSYCO without significant loss of accuracy.
Fichier principal
Vignette du fichier
article_hal.pdf (892.02 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01256969 , version 1 (15-01-2016)
hal-01256969 , version 2 (25-05-2016)

Identifiers

  • HAL Id : hal-01256969 , version 2

Cite

Thomas Paris, Alexandre Tan, Vincent Chevrier, Laurent Ciarletta. Study about decomposition and integration of continuous systems in discrete environment. Annual Simulation Symposium (ANSS), Apr 2016, Pasadena, United States. ⟨hal-01256969v2⟩
981 View
266 Download

Share

Gmail Facebook Twitter LinkedIn More