Prerequisite/Recommended prerequisite for
participation in the module
Basic electrical engineering
Content, progress and pedagogy of the
module
Purpose
To enable students to apply some of theoretical and
experimental modelling methods into their project and
simulate the system by means of simulation tools, such as
Matlab/Simulink.
Learning objectives
Knowledge
- Must have knowledge of the modelling of some typical physical
systems, such as mechatronic systems, flow dynamic systems, energy
production/transportation/distribution systems, process systems
etc., provision of operating conditions
- Must have insight into the theoretical modelling for dynamic
systems, including the principles of mass balance, energy balance
and momentum balance
- Must have the knowledge of experimental modelling of linear and
non-linear dynamic systems, including the experiment design, data
collection and pre-filtering, model structure selection, parameter
estimation and model validation
- Must have insight of linearization techniques of nonlinear
systems
- Must be able to simulate the obtained mathematical model in
some typical simulation environment, such as
Matlab/Simulink
Skills
- Shall be able to apply basic theoretical and experimental
modelling techniques for modelling dynamic systems and simulating
them
- Shall be able to model and analyse some typical dynamical
systems, including electrical, mechanical, power and thermo
dynamical systems etc.
- Must be able to develop models of dynamic systems in the form
of block diagrams and be able to reformulate the equivalent
diagrams
- Must be able to linearize a obtained nonlinear system and
analyse the difference between the linearized and original
systems
- Must be able to simulate the obtained mathematical model of
concerned system and analyse the system features within a proper
simulation environment
Competences
- Be able to apply the theoretical modelling approach to model
some typical physical systems, with an orientation for control
design purpose
- Be able to correctly apply the experimental modelling approach
for complicated systems, including the proper experiment design,
data collation and analysis, selection of model structure and
estimation of system parameters, as well as model validation
- Be able to apply Linearization techniques for nonlinear system
analysis and simplification
Type of instruction
The programme is based on a combination of academic,
problem-oriented and interdisciplinary approaches and organised
based on the following work and evaluation methods that combine
skills and reflection:
- Lectures
- Classroom instruction
- Project work
- Workshops
- Exercises (individually and in groups)
- Teacher feedback
- Reflection
- Portfolio work
Extent and expected workload
Since it is a 5 ECTS course module, the work load is expected to
be 150 hours for the student.
Exam
Exams
Name of exam | Modelling and simulation |
Type of exam | Written or oral exam |
ECTS | 5 |
Assessment | 7-point grading scale |
Type of grading | Internal examination |
Criteria of assessment | The criteria of assessment are stated in the Examination
Policies and Procedures |