Modeling of Physical Systems: Simulation and Control

Through an integrated and uniform approach to system modeling, analysis, and control, Modeling of Physical Systems uses realistic examples to link empirical, analytical, and numerical approaches and provide readers with the essential foundation needed to move towards more advanced topics in systems engineering. Rather than use only a linear modeling methodology, this book also incorporates nonlinear modeling approaches.

The authors approach the topic using bond graph methodology, a well-known and highly effective method for the modeling and analysis of multi-energy domain systems at the physical level. With a strong focus on fundamentals, this book begins by reviewing core topics which engineering students will have been exposed to in their first two years of study. It then expands into introducing systematic model development using a bond graph approach. Later chapters expand on the fundamental understanding of systems, with insights regarding how to make decisions on what to model and how much complexity is needed for a particular problem.

Written by two professors with nearly a century of combined research and industry experience, Modeling of Physical Systems explores topics including:

• Basic Kirchoff systems, covering mechanical translation and rotation, electrical, hydraulic, and thermal systems, and ideal couplers
• A complete introduction to bond graph methods and their application to practical engineering system modeling
• Computer-based analysis and simulation, covering algebraic analysis of system equation and semi-analytical analysis for linear system response
• Multiport fields, distributed systems and transmission elements, covering heat and magnetism power lines and wave propagation modeling with W- and H-Lines
• Signal and power in measurement and control, covering derivative control and effect of feedback

Modeling of Physical Systems is an essential learning resource for mechanical, mechatronics, and aerospace engineering students at the graduate and senior graduate level. The text is also valuable for professional engineers and researchers, controls engineers, and computer scientists seeking an understanding of engineering system modeling.