Control Engineering (871H1)
Control Engineering
Module 871H1
Module details for 2022/23.
15 credits
FHEQ Level 7 (Masters)
Module Outline
This module focuses on the modelling, analysis and control of continuous and discrete time systems. The students will also learn how to linearise model of nonlinear systems around equilibrium points, how to design state estimators and also develop optimal controllers using LQR (Linear Quadratic Regulator) or LQG (Linear Quadratic Gaussian) techniques in this module.
They will gain practical experience in analysis and design of control systems using Matlab/Simulink and Labview. Having completed the module, students will study the higher level subjects such as Industrial Automations Mechatronics, Robot Design and Implementation and will be able to develop their own control systems in their MSc projects.
Topics include:
• Modelling and control of linear systems including transfer functions, block diagram, state space equations, PID algorithm
• Modelling of discrete time systems: z transform, transfer function/state space equations of discrete systems
• Discrete systems analysis: extension of Routh-Hurwitz criteria, Jury criterion, root locus, steady state errors, performance of discrete systems
• Control systems design in state space: pole placement, design of state estimators
• Design of discrete control systems: controllability and observability of discrete systems, discrete pole placement method, discrete state estimator
• Optimal control: LQR, LQG
Module learning outcomes
Demonstrate an understanding of discrete systems analysis and control.
Demonstrate an understanding of control systems design using state space method and modelling of nonlinear systems
Use Matlab/Simulink and Labview as tools to design a controller to meet certain requirements
Demonstrate a systematic understanding of commonly used controllers (for example PID) for robotics/mechatronics applications through their design, implementation and evaluation.
| Type | Timing | Weighting |
|---|---|---|
| Coursework | 50.00% | |
| Coursework components. Weighted as shown below. | ||
| Test | T1 Week 6 (1 hour) | 40.00% |
| Project | T1 Week 11 | 60.00% |
| Computer Based Exam | Semester 1 Assessment | 50.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
| Term | Method | Duration | Week pattern |
|---|---|---|---|
| Autumn Semester | Laboratory | 2 hours | 00101010000 |
| Autumn Semester | Workshop | 2 hours | 11010101010 |
| Autumn Semester | Lecture | 2 hours | 11212121000 |
| Autumn Semester | Project | 2 hours | 00000001110 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Dr Nicolas Herzig
Assess convenor
/profiles/525193
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