Undergraduate Course: Control and Instrumentation Engineering 3 (ELEE09018)
Course Outline
| School | School of Engineering |
College | College of Science and Engineering |
| Course type | Standard |
Availability | Available to all students |
| Credit level (Normal year taken) | SCQF Level 9 (Year 3 Undergraduate) |
Credits | 10 |
| Home subject area | Electronics |
Other subject area | None |
| Course website |
None |
Taught in Gaelic? | No |
| Course description | This is a first course in the design and analysis of control systems. It provides a basic understanding and builds the mathematical background for the modelling, design and analysis of linear single-input single-output feedback systems. It presents the characteristics and real-world limitations of transducers as well as their interfacing with the control system. It introduces the concept of stability as well as the available methods for its assessment. It develops the analytical tools for the design of appropriate controllers to improve system performance. It allows students to appreciate the interdisciplinary nature and universal application of control engineering. Finally it introduces modern approaches including application of artificial intelligence to control systems. |
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
| Additional Costs | 0 |
Information for Visiting Students
| Pre-requisites | None |
| Displayed in Visiting Students Prospectus? | No |
Course Delivery Information
|
| Delivery period: 2012/13 Semester 2, Available to all students (SV1)
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WebCT enabled: Yes |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| King's Buildings | Lecture | | 1-11 | 11:10 - 13:00 | | | | | | King's Buildings | Lecture | | 1-11 | | | | 11:10 - 13:00 | | | King's Buildings | Laboratory | | 1-11 | | 14:00 - 17:00 | | | or 14:00 - 17:00 |
| First Class |
Week 1, Monday, 11:10 - 13:00, Zone: King's Buildings. Lecture Theatre 1, Sanderson Building |
| Exam Information |
| Exam Diet |
Paper Name |
Hours:Minutes |
|
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| Main Exam Diet S2 (April/May) | | 1:30 | | |
Summary of Intended Learning Outcomes
On completion of this course, students will be able to:
- Understand how transducers work and interface with a control system and appreciate the theoretical and practical limitations in any measurement;
- Represent a system in block diagram form;
- Derive the mathematical model of a physical control system;
- Derive a small-signal linear model of a nonlinear system at a given operating point;
- Use Laplace Transform to develop the transfer function of a dynamic system;
- Understand the concept of feedback in control systems;
- Analyse the behaviour of a linear SISO system in both time and frequency domains;
- Assess the stability of a linear SISO system;
- Appreciate the merits and limitations of PID and Lead-Lag controllers;
- Design controllers for simple control systems to meet performance specifications;
- Use Matlab / Control Systems Toolbox and Simulink for the analysis, design and simulation of control systems;
- Appreciate the application of control engineering in a wide area of industrial processes. |
Assessment Information
Assignment (20%)
Final Exam (80%) |
Special Arrangements
| Some of the tutorials (2-3) to be held in a computing lab as they will be Matlab-based. |
Additional Information
| Academic description |
Not entered |
| Syllabus |
Topics covered:
Transducers: main types including flow, pressure, temperature, position, force, velocity and acceleration transducers; physical mechanisms; signal conditioning and interfacing.
Mathematical Models of Control Systems: open- and closedloop systems; static and dynamic response; modelling of linear
systems; linearization; Laplace transform; transfer functions; block diagrams; signal flow graphs.
Feedback Systems: error signals; sensitivity; disturbance rejection; steady-state and transient response; performance of 1st and 2nd order systems; stability; Routh-Hurwitz stability criterion; root locus; Proportional-Integral-Derivative controllers; Phase-lead and ¿lag compensators.
Control Systems in Frequency Domain: Bode plots; gain and phase margins; frequency domain performance specifications;
relative stability; controller design using frequency response methods; Nyquist stability criterion; Emerging Approaches to Control Systems: Introduction to Artificial Intelligence (Neural Networks, Fuzzy Controllers); Exemplar applications of AI in modern control systems. |
| Transferable skills |
Not entered |
| Reading list |
Main textbook:
Dorf, R. C. and Bishop, R. H., ¿Modern Control Systems¿, 12th ed., Pearson Education, 2011, ISBN-10: 0131383108
Additional bibliography:
Nise, N. S., ¿Control Systems Engineering¿, 6th ed., Willey International, 2011, ISBN-10: 0470646128
Ogata, K., ¿Modern Control Engineering¿, 5th ed., Pearson Education, 2008, ISBN-10: 0137133375
Golnaraghi, F. and Kuo, B. C., ¿Automatic Control Systems¿, 9th ed., John Wiley & Sons, 2009, ISBN-10: 0470048964 |
| Study Abroad |
Not entered |
| Study Pattern |
Two lectures plus one tutorial per week. A Matlab-based assessment will be submitted towards the end of semester. An introduction to control systems with Matlab will take place during 2 or 3 tutorial sessions to assist students. |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Aristides Kiprakis
Tel: (0131 6)50 5586
Email: |
Course secretary | Ms Kathryn Nicol
Tel: (0131 6)50 5687
Email: |
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