NG3S852 - Control System Design 01 Jul 2022 - 31 Aug 2028 | Version 5
Associated Module Information
| Module Code: | NG3S852 | ||
|---|---|---|---|
| Module Title: | Control System Design | ||
| Faculty: | Faculty of Computing, Engineering and Science | ||
| Faculty Group: | Information and Electronics | ||
| Faculty Sub Group: | Electronics | ||
| Module Leader: | Hammad Nazir | ||
| Module Team: | Muhammad Hussain, Eurfyl Davies | ||
| First Intended Intake: | SEP 2015 | Final Year of Intake: | 2027 |
| Date Closed: | |||
| Credit Value: | 20 | Credit Level: | 6 |
| Language: | English | ||
| Percentage of Module Taught in Welsh: | 0 | ||
| Equivalent Module: | |||
| HECOS codes: | 100163 - electrical and electronic engineering | ||
| HECOS Code Weighting: | 100 | ||
Document Version Information
| Version | 5 |
|---|---|
| Valid From | 01 Jul 2022 |
| Valid To | 31 Aug 2028 |
Module Aims
The aims of this module are to:
• This module gives a fundamental concept and theoretical foundation for understanding feedback control system analysis, design, and application, and is suitable for general engineering students. The contents supported by hardware and PC laboratories activities using PID controllers.
• Also, module contents cover standard analysis tools such as stability, root-loci, Bode diagrams, z-transforms and state variable models, design of state variable feedback system and controllability/observability?matrix.
Content Summary
1. Analysis and design of classical control systems through frequency-domain and time-domain techniques. Concepts of performance specification and system stability will be considered through the application of various techniques including root-locus and Bode diagrams. Various control design methods will be introduced, including PID control, pole assignment, model reference control, etc.
2. State variable control systems, focussing on state variable models, stability, controllability, observability, SISO and MIMO design methodologies.
3. Digital control systems, including sampled data systems, z-transforms and stability analysis.
4. Fuzzy control systems, covering fuzzy logic, fuzzy systems and fuzzy control.
5. Control measurement, including measurement specifications and sensors.
Learning and Teaching Methods
| Activity Type | Hours |
|---|---|
| Lecture | 48 |
| Practical classes and workshops | 24 |
| Independent Study | 80 |
| Directed Study | 24 |
| Problem / challenge based learning | 24 |
| Total Hours Selected | 200 |
Learning Outcomes
| # | Learning Outcome |
|---|---|
| LO1 | • The ability to demonstrate a systematic understanding of the principles of control system analysis and design and show critical judgement in developing solutions to a range of systems and process control problems. |
| LO2 | • The ability to understand and critically evaluate the theoretical and practical issues relating to process control system simulation and implementation in the context of contemporary technologies. |
Module Requisites
N/A
Assessment Criteria
| Assessment Category | Assessment Type | Description | Duration | Word Count | Weight (%) | Best of? | Pass Mark |
|---|---|---|---|---|---|---|---|
| Synchronous Onsite Practical Assessment | Practical Coursework (Onsite) 1 | Exercises undertaken in class or in laboratory aimed at assessing the application of knowledge, analytical, problem-solving or evaluative skills with a written report. | 0 | 2000 | 30 | No | 40 |
| Synchronous Onsite Assessment (Exam) | Onsite Closed Book Examination 1 | A test of knowledge and understanding by previously unseen questions, delivered onsite and time constrained to not more than 3 hours | 180 | N/A | 70 | No | 40 |
Assessment Matrix
| Assessment Type | Learning Outcomes | ||
|---|---|---|---|
| LO1 | LO2 | ||
| Practical Coursework (Onsite) 1 | ✔ | ✔ | |
| Onsite Closed Book Examination 1 | ✔ | ✔ | |