Course content

Course Content:

This course is based on a problem oriented approach to teach the fundamental principles and methods for modeling, simulation and analysis of dynamic systems, using both theoretical and physical models.

• Basic modeling techniques for multi-domain energy systems
• Case oriented multi-domain modelling of a real system
• Verification of theoretical models through experiments and/or real full scale data collection

Course curriculum

• Mathematical modeling techniques for physical systems
• Multi-domain physics simulations using power Power -Bond-Graph modeling method and simulation software tools for energy systems (20Sim, Python, AGX etc.)
• Simulation methods for state space models using different
• Basic control theory and control systems
• Verification of numerical models through experiments
• Basic introduction to data sampling and analysis
• 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.

Learning outcome

Knowledge and skills

After this course the student:

• understand the main principles of dynamic systems modeling and simulation, including the process from basic laws of physics to mathematical models and analysis.
• can model and simulate dynamic systems, from physical description to solving equations in a simulation process.
• know how to make qualified simplifications and assumptions to complex systems, and how the effect of these can be evaluated
• are apply basic simulation software for energy systems modeling and simulation.
• are able to plan and set up laboratory experiments for data sampling and prepare full-scale data sampling.
• can carry out basic experimental methods in the laboratory and principles of data sampling and analysis.
• can analyze and compare experimental data for verification and tuning of theoretical models.

Competence

After this course the students can

• follow a systematic approach to model complex dynamic systems and recognize common behaviors in different energy domains.
• verify and validate models through lab experiments and/or full-scale measurements.
• work indedependently and in teams to solve complex modelling/simulation/verification problems
• effectively communicate and collaborate in large engineering projects.

Learning methods and activities

Lectures, exercises, assignments, lab experiments, semester project.

2/3 of the mandatory exercises and the project must be approved to give access to the exam.

Compulsory assignments

• Mandatory assignments

Specific conditions

Recommended previous knowledge

Engineering design fundamentals - (physics, dynamics of rigid bodies and fluids; energy thermodynamics, mechatronics, and control systems basics)

Course materials

• Lecture notes and scientific literature
• Mathematical Modelling and Simulation of Physical systems, Eilif Pedersen and Hallvard Engja
• Dynamic systems modelling, analysis and simulation - Finn Haugen
• System Dynamics A Unified Approach - Dean Karnop, D.Margolis and R. Rosenberg

Credit reductions