Course - Modelling and Simulation of Maritime Systems - MMA4005
Modelling and Simulation of Maritime Systems
About
About the course
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 Bond-Graph modeling method and simulation software tools for energy systems (20Sim, Python 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, lab experiments, homework assignments and project work.
Further on evaluation
Written exam 60% - Project work (40%) Re-sit examination:Students are entitled to re-sit the written exam if they have legitimate reasons for absence, or have failed. The re-sit exam for the written exam is an oral exam. If students fail the project, they have to retake it during the next ordinary examination semester.
Specific conditions
Admission to a programme of study is required:
Mechatronics and Automation (MSMECAUT)
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
Course code | Reduction | From |
---|---|---|
IP500515 | 5 sp | Autumn 2024 |
Subject areas
- Engineering
- Marine Technology
Contact information
Course coordinator
Lecturers
Department with academic responsibility
Examination
Examination
Ordinary examination - Autumn 2025
School exam
The specified room can be changed and the final location will be ready no later than 3 days before the exam. You can find your room location on Studentweb.