BOND GRAPH BICAUSALITY MODELING THE HYDRAULIC SYSTEM
DOI:
https://doi.org/10.35120/kij5403521tKeywords:
Bond graph model, Bicausality Bond Graph, Hydraulic Systems, Mathematical ModelAbstract
This papers represents one of the most widely challenging control problems. The most accepted block
diagrams in automatic control used to describe processes have been replaced by control based on bond graph
modeling. The bond graph model one physical model hydraulic process is presented. The goal of the research is to
obtain a model of process with and without knowledge of the mathematical model, which is used to obtain a
simulation and prediction model. Due to the feedback effect of the liquid in the pipes (power and flow), a bicausal
bond graph was used as the flow source. Bond graphs have a basic concept in their physics - energy that is
exchanged through connectors 0 and 1 (ports). Effort e (force, voltage, pressure, etc.) and flow f (current, velocity,
volume, etc.) are general physical quantities that are used to analyze the appropriate physical model and description
for bond graph modeling and that very successfully. Bond-graph modeling is a powerful tool for modeling
engineering systems, especially when physical domains are involved. Submodels graph can be reused, because link
graph models are not causal. Connection graphs are labeled and directed graphs, in which vertices represent
submodels and arrows represent the ideal energy connection between power ports. Bond has a direction of strength
and a direction of causality. The assigned computational causality dictates which port variable will be computed as
the result (output) and accordingly, another port variable will be the cause (input). Graphs can be connected to parts
of the block diagram, submodels of the connection graph can have power connections, signal inputs and signal
outputs as their interface elements. Aspects such as the physical domain of the connection (energy flow) can be used
to support the modeling process. The research in this work is on obtaining a fast and adequate physical model with
good knowledge of physical changes.
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