Modelling and Simulation of Dynamic Systems

Course Content:

This course is based on a problem oriented approach to teach the fundamental principles and methods for the analysis, modeling and solution of linear and non-linear dynamic systems. In particular:

• Basic modeling techniques using Power Bond Graph method
• Control Theory
• Practical oriented study cases

Course curriculum

• Mathematical modeling techniques for physical systems
• Multi-domain physics systems
• Power Bond-Graph modeling method
• Simulations tools for energy systems (20Sim and Python)
• Control theory and control systems
• Case study: Mass - Spring - Damper system
• Case study: Hydraulic power control system
• Case study: Electrical system
• Case study: Thermal system
• Case study: Multi-Domain mechatronic system

In addition to the individual course topic, the study program shares a common project theme across all courses. This is addressed through the perspective and methodology of each course to deliver discipline specialization, as well as linking the different scopes and aspects into a holistic engineering view.

Knowledge: Understand the main principles of dynamic systems modeling and simulation, and the process from basic laws of physics via mathematical models to simulation and analysis.

Skills: Carry out independent modeling and simulation of dynamic systems, from physical description over mathematical models to a simulation to solve the equations in a simulation process. Use of simulation tools for energy systems (20Sim and Python).

General Competence: Ability to follow a systematic approach to model complex dynamic systems, and see the common behavior of systems in different energy domains. Verify and validate the model through lab experiments and/or full scale measurements.

Lectures, exercises, lab experiments, homework assignments and project work.