Setting up a simulation model is more than writing down state equations and running them on a computer. A lot of conceptual information about the physics and engineering aspects of the system must be taken into account to construct a useful simulation model. The role of a model library is to manage this information and to make model fragments reusable. This is especially important if models are reused and shared in cooperative work groups. In this article, we discuss the architecture of a library of reusable models. The practical application is demonstrated by reviewing an actual modeling problem in the machine tool domain.
In bond graph models, the atomic submodels are described by sets of equations. Because of the physical justification of the bond graph formalism, it provides extensive possibilities for verification of the model at the graphical level. The equation formulation on the other hand is founded in the mathematical domain, so the need for a check against physical criteria is both more needed and more difficult.Causality assignment is the meeting point of the graphical level and the equation level. In bond graph modeling, causality assignment is a vital step in analysis and simulation. The assignment process in the graph is based on the causality restrictions of the atomic submodels. In this article, an automatic procedure for the derivation of causality restrictions of atomic submodels is presented. This process not only generates the correct set of causality restrictions, but also provides a detailed verification of the correctness of the submodel.
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