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After the course the student:
- Understands trade-offs when modelling dynamical systems
Understands the role of trade-off between conceptual and numerical complexity in the decision process of modelling.
Type of knowledge: Insight
Level: Can defend modelling choices.
- Understands advanced Bond graph modelling concepts in multiple domains
Understands multi-port storage, irreversible transducers, junction structures, and multibond notation.
Type of knowledge: Insight
Level: Demonstrated on 2D and complex 3D mechanics and thermodynamic systems.
- Is able to analyse Bond graph models of dynamical systems
Is able to identify dependent storage, causality conflicts, algebraic loops, and assess model competence.
Type of knowledge: Insight
Level: Demonstrated on 2D and complex 3D mechanics and thermodynamic systems.
- Knows how to enter dynamic systems in 20-sim and use its analysis tools and simulation
Knows how to enter dynamic systems in 20-sim using traditional equations, block diagrams, and Bond graphs.
Type of knowledge: Skill
Level: Demonstrated through weekly problems and final assignments.
- Understands how to use simulation to gain insight into, analyse, and optimise models
Knows how to use 20-sim to analyse, simulate, and optimise models to guide system design.
Type of knowledge: Insight
Level: Demonstrated on 2D and complex 3D mechanics and thermodynamic systems.
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- Extension and application of modelling in terms of Bond graphs
- Multiport storage elements, irreversible transducers and junction structures
- Multibond notation
- Cycle processes using multiport storage elements
- Energy-based control concepts
- Decomposition of multiport elements
- Modelling of planar and spatial mechanical systems (robots, vehicles, etc.) and electro-mechanic systems
- Simulation program 20-sim
- Numerical integration methods and choosing the integration time step
- Optimization and identification by means of multiple run simulations
Organization
Modelling and Simulation is taught as a student-centered learning and problem-based learning (PBL) course. You will work on a (modelling and simulation) problem each week. For each problem, you will need to master some new material, which can be found in the reader (see Course material), or in other scientific literature. You share the solutions with your peers, give feedback and learn from each other. The PBL assignments all lead to the final assignments.
The course is comprised of two parts:
- The first part starts with 3 one-week PBL assignments, followed by the first two-week final assignment (which is a direct extension/integration of the first 3 PBL assignments).
- The second part starts with another 3 PBL assignments, followed by the second two-week final assignment. This amounts to a total of 10 weeks.
This means you will do a total of 6 PBL assignments and 2 final assignments. All assignments involve a peer review component, the final assignment reviews of which are graded. The PBL assignments, final assignments, and peer reviews together comprise your grade.
Prerequisite knowledge
Engineering System Dynamics (ESD, 5 EC, 202001141), or:
Modelling, Dynamics and Kinematics (MDK, 5 EC, 202200101).
In Modelling and Simulation, we expect you to be familiar with, and to some degree proficient in, energy-based modelling concepts and the bond graph notation. As such, the course Engineering System Dynamics or Modelling, Dynamics and Kinematics is compulsory prior knowledge. This means that you are only allowed to participate in M&S if you have passed ESD or MDK.
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| Master Electrical Engineering |
| Master Systems and Control |
| | Required materialsCourse material| Handouts made available via Canvas |
| Course material| Lecture Notes: Integrated Modeling of Physical Systems - Dynamic Systems part 1 through 3, P.C. Breedveld, available via Canvas. |
| Course material| See above:
The lecture notes and handout have been written for self-study and contain assignments, self-tests and example exam with solutions. (You should have part of this material already given the required knowledge of Engineering System Dynamics) |
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Recommended materialsBook| System Dynamics; A Unified Approach, D.C. Kamopp and R.C. Rosenberg, John Wiley and Sons, New York, 1975 or 2nd edition 1990
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| Book| System Dynamics: Modelling and Simulation of Mechatronic Systems, Karnopp, Dean C., Margolis, Donald L. and Rosenberg, Ronald C. |
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Instructional modesLecture| Presence duty | | Yes |
| Project unsupervised
| Self study without assistance
| Tutorial
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TestsProject assignments
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