Module manager: Dr. Amir Abiri Jahromi
Email: A.AbiriJahromi@leeds.ac.uk
Taught: Semester 1 (Sep to Jan) View Timetable
Year running 2024/25
This module is not approved as a discovery module
This module is intended to provide students with an understanding of the principles behind linear control systems design in the continuous time and discrete time domains.
This module has the following objectives:
- To develop an understanding of the analysis and design of control systems.
- To develop knowledge and understanding of linear systems to analytically investigate control systems and simulate them using computer tools.
- To provide the opportunity to design and evaluate PID and compensator-based controllers using several analytical techniques.
- To introduce the principles of digital control systems and their analysis.
- To learn methods for implementing digital control systems.
On successful completion of the module students will have demonstrated the following learning outcomes:
1. Apply a comprehensive knowledge of mathematics, and engineering principles to the solution of complex control systems problems. Much of the knowledge will be at the forefront of control systems and informed by a critical awareness of new developments and the wider context of engineering.
2. Formulate and analyse complex control systems problems to reach substantiated conclusions. This will involve evaluating available data using first principles of mathematics, statistics, natural science and engineering principles, and using engineering judgment to work with information that may be uncertain or incomplete, discussing the limitations of the techniques employed.
3. Select and apply appropriate computational and analytical techniques to model complex control systems problems, discussing the limitations of the techniques employed.
4. Apply an integrated or systems approach to the solution of complex control systems problems.
5. Use practical laboratory and workshop skills to investigate complex control systems problems.
Skills Learning Outcomes
On successful completion of the module students will have demonstrated the following skills:
A) Application of science, mathematics and/or engineering principles
B) Problem analysis
C) Application of computational and analytical techniques
D) Integrated systems approach
E) Practical and workshop skills
Topics may include, but are not limited to:
* System modelling through transfer functions and state-spate equations
* Evaluation of system performance through its step response
* Analysis and design of controllers (for eg., PD, PI and PID controllers) using root locus design method
* Analysis and design of controllers using the phase-lead and phase lag compensation methods based on the concepts of phase margin and crossover frequency, and the plant open loop frequency response
* Introduction to digital control and comparison between discrete and continuous time controllers
* Introduction to discrete signals and the z-transforms
* Analysis, design and evaluation of the transient performance of discrete-time control systems
* Implementation of computer-based control systems
Methods of Assessment
We are currently refreshing our modules to make sure students have the best possible experience. Full assessment details for this module are not available before the start of the academic year, at which time details of the assessment(s) will be provided.
Assessment for this module will consist of;
1 x Coursework
1 x Exam
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Examples Class | 3 | 2 | 6 |
| Lecture | 10 | 2 | 20 |
| Practical | 2 | 2 | 4 |
| Independent online learning hours | 11 | ||
| Private study hours | 109 | ||
| Total Contact hours | 30 | ||
| Total hours (100hr per 10 credits) | 150 | ||
Students studying ELEC modules will receive formative feedback in a variety of ways, which may include the use of self-test quizzes on Minerva, practice questions/worked examples and (where appropriate) through verbal interaction with teaching staff and/or post-graduate demonstrators.
| Assessment type | Notes | % of formal assessment |
|---|---|---|
| In-course Assessment | Coursework | 30 |
| Total percentage (Assessment Coursework) | 30 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
| Exam type | Exam duration | % of formal assessment |
|---|---|---|
| Standard exam (closed essays, MCQs etc) | 3.0 Hrs 0 Mins | 70 |
| Total percentage (Assessment Exams) | 70 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
There is no reading list for this module
Last updated: 7/31/2024
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