Module overview
Aims and Objectives
Learning Outcomes
Knowledge and Understanding
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
- Explain the difference between open loop and closed loop control
- Identify the advantages and problems arising from processing signals in quantised time and space
- Analyse linear systems using time and frequency domain methods
- Use the laplace transform to demonstrate stability of a transfer function
Subject Specific Intellectual and Research Skills
Having successfully completed this module you will be able to:
- Use fourier analysis to design a filter
- Classify real-world data into different types of signals
- Model a real-world system as a transfer function
Subject Specific Practical Skills
Having successfully completed this module you will be able to:
- Implement signal processing using digital filters
- Use discrete PID controllers to control a real-world system
Transferable and Generic Skills
Having successfully completed this module you will be able to:
- Identify the real-world implications of stability and controllability
Syllabus
Signals theory:
- Classification of signals
- Mathematical systems
- Linear systems
- Classical filters (intro)
- Fourier transform
Digital signals:
- Sampling (Nyquist) and ADCs.
- Signal encoding
- Discrete fourier methods
Control theory:
- Feedback and open- vs closed-loop
- Stability, controllability
- The laplace transform
- Importance of impulse responses
Controller design:
- Modelling real systems as transfer functions
- PID controllers
- Discrete-time controllers
Learning and Teaching
Teaching and learning methods
- Lectures
- Guided self-study
- Laboratories in computing and specialist hardware
Type | Hours |
---|---|
Preparation for scheduled sessions | 20 |
Lecture | 32 |
Independent Study | 78 |
Specialist Laboratory | 20 |
Total study time | 150 |
Assessment
Summative
This is how we’ll formally assess what you have learned in this module.
Method | Percentage contribution |
---|---|
Computing Laboratories | 20% |
Class Test | 10% |
Exam | 50% |
Specialist Laboratory | 20% |