[Back]

P. Novak, P. Kadera, V. Jirkovsky, P. Vrba:
"Engineering of Coupled Simulation Models for Mechatronic Systems";
Talk: 4th Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing (SOHOMA), Nancy, France; 2014-11-05 - 2014-11-06; in: "Proceedings of the 4th Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing (SOHOMA)", AGIR Publishing House, (2014), ISBN: 978-973-720-550-6; 1 - 9.

Simulation models play a crucial role in testing and fine-tuning of
control systems for complex industrial systems. They are important parts of the
sustainable, service-oriented manufacturing value chain by facilitating early and
efficient defect detection and risk mitigation. However, the design phase of
simulation models is time-consuming and error-prone, thus it should be improved
to become more efficient. The design of simulation models for mechatronic
systems has to cope with two basic challenges: (1) the heterogeneous nature
of mechatronic systems, which are described with various overlapping engineering
plans, and (2) the separation of monolithic simulations into distributed
simulation modules, to better conquer the computational complexity of simulation
models. This paper addresses both challenges: (a) we propose an application
of semantic integration and linked data for sharing and capturing
knowledge for simulation model design between various engineering plans; (b)
we explain how to structurally connect simulation modules, which are dynamically
coupled. The proposed method utilizes the extended bond-graph theory.
The simulation modules work independently of each other but with interaction,
similar to a multi-agent system. Since the computational execution of coupled
simulations is a crucial obstacle especially for mechatronic systems, we show
how performance analysis can significantly improve the definition of simulation
workflows.

Dynamic simulation, semantic integration, performance analysis, bond graphs, industrial processes.