ES1A6-15 Systems Modelling and Simulation
Introductory description
Systems modelling is an essential skill that underpins all Engineering disciplines allowing the Engineer to model a variety of problems.
Module aims
The use of models aims to provide information necessary to make decisions in the design and development of Engineering solutions or to investigate systems that are too costly, difficult or unethical to investigate physically. Vast numbers of bespoke software solutions are available to Engineers working in industry but this module will focus on designing and programming models from first principles showing the application of mathematical techniques and avoidance of modelling errors. There are design principles associated with models which ensure robust development and these will also be covered along with verification and validation techniques and applications to data modelling. These methods are inherited from software design processes and the synthesis will be exploited.
Outline syllabus
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
What is modelling and how is it used?
Model types, models as a tool, model design process akin to physical design processSystems Modelling: how are mathematical models developed, simulated and validated?
Model in the loop•
First/second order, block diagrams, Simulink•
Modelling of translational, rotational, electrical, thermal systems•
First order systems, input-output and transfer function representation, step and frequency response•
Second order systems, input-output and transfer function representation, step and frequency response•
Fourier analysis•
Key programming concepts (e.g. for-loops, functions, variables)
Learning outcomes
By the end of the module, students should be able to:
- Apply computational thinking to create software for solving modelling and simulation problems.
- Create and demonstrate a model developed with a user and purpose in mind.
- Simplify real engineering problems and approximate via a mathematical model.
- Understand and predict the response of a system to test inputs (i.e. step, sine) using analytical and simulation-based approaches
- Function effectively as an individual, and as a member or leader of a team.
Indicative reading list
Close, C.M., Newell, J.C. and Frederick, D.K., 2002. Modeling and analysis of dynamic systems. Wiley.
Karris, Steven T. Introduction to Simulink with engineering applications. Orchard Publications, 2006.
Subject specific skills
Follow a methodical approach to engineering problem solving.
Model real-world mechanical systems efficiently.
Transferable skills
Communicate confidently to create and maintain working relationships. Be respectful.
Work collaboratively as a team player. Able to work effectively within a team and interact with /help others when required.
Study time
| Type | Required |
|---|---|
| Lectures | 12 sessions of 1 hour (8%) |
| Seminars | (0%) |
| Project supervision | 13 sessions of 1 hour (9%) |
| Practical classes | 8 sessions of 1 hour (5%) |
| Work-based learning | 30 sessions of 1 hour (20%) |
| Private study | 87 hours (58%) |
| Total | 150 hours |
Private study description
87 hours guided independent learning (including VLE use).
Costs
No further costs have been identified for this module.
You must pass all assessment components to pass the module.
Assessment group A1
| Weighting | Study time | |
|---|---|---|
| Lab assessement | 50% | |
|
Moodle quizzes |
||
| Group Project | 50% | |
|
15min Presentation and demonstration of a created simulation tool including peer assessment |
||
Feedback on assessment
individual feedback on lab assessment, cohort feedback on assessment, group feedback on project, peer feedback on project.
Courses
This module is Core for:
- Year 2 of DESA-H360 Undergraduate Electromechanical Engineering (Degree Apprenticeship)