SYSTEM ANALYSIS THROUGH BOND GRAPH MODELING by ...

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CHAPTER 3: Bond Graph Modeling
3.1 Introduction
Modeling and simulation form an integral role in all of science and engineering. A
scientist can iterate through the scientific process at a much greater pace by performing
experiments on a model of a system versus experimentation on a full-scale system.
Engineers are able to iterate quickly through the design process by modeling their designs
prior to implementing them in hardware. Control engineers, for example, use modeling
by first attempting to control a model of a system prior to controlling the actual system.
The process of modeling is one in which a set of cause and effect relationships are
defined between parameters that represent physical characteristics of a system. These
parameters, or variables, are chosen such that the key information for understanding the
system can be extracted from the model through simulation. Simulation is then the
ability to view how the model acts over a period of time. Understanding the cause and
effect relationships between the variables of a system is essential to developing a
meaningful model.
The modeling process exists in all science and engineering domains. Electrical
engineers use circuit diagrams to represent electrical circuits, mechanical, and civil
engineers use free-body diagrams to represent forces and moments between components
of their respective systems. Thermodynamics and chemical system descriptions yet use
other techniques to help the user develop the necessary cause and effect relationships