Recommended prerequisite for participation in
the module
The module is based on knowledge achieved in the modules Calculus,
Linear algebra and Applied engineering mathematics or similar.
Content, progress and pedagogy of the
module
Learning objectives
Knowledge
- Have knowledge about Newton’s laws, static equilibrium,
rotational motion, moment of force, moment of inertia, linear
momentum and angular momentum.
- Have knowledge about 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
- Have insight into the theoretical modelling for dynamic
systems, including the principles of mass balance, energy balance
and momentum balance
- Have the knowledge about experimental modelling of linear and
non-linear dynamic systems, including the experiment design, data
collection, model structure selection, parameter estimation and
model validation
- Have insight of linearization techniques of nonlinear
systems
- Be able to simulate the obtained mathematical model in some
typical simulation environment, such as Matlab/Simulink
Skills
- Be able to solve simple problems within linear and angular
motion
- Be able to apply basic theoretical and experimental modelling
techniques for modelling dynamic systems and simulating them
- Be able to develop models of dynamic systems in the form of
block diagrams and be able to reformulate the equivalent
diagrams
- Be able to linearize an obtained nonlinear system and analyse
the difference between the linearized and original systems
- 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 Newton’s laws of motion to simple mechanical
systems
- 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 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
- Be able to identify systems using both white and black box
approaches
- Be able to describe dynamic systems in transfer function and
state-space formulations
Type of instruction
The programme is based on a combination of academic, problem
oriented and interdisciplinary approaches and organised based on
the following types of instruction that combine skills and
reflection:
- Lectures
- Class teaching
- Project work
- Work shops
- Exercises (individually and in groups)
- Supervisor feedback
- Professional reflection
- Portfolio work
- Laboratory work
Extent and expected workload
Since it is a 5 ECTS project 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 |