Undergraduate Course: Control and Instrumentation Engineering 3 (SCEE09002)
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 | School (School of Engineering) |
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 | None |
Information for Visiting Students
| Pre-requisites | Any visiting student registering to this course should possess
the following:
Solid knowledge of basic engineering mathematics including
partial derivatives, integrals, complex numbers and matrices;
Familiarity with methods for the solution of ODEs;
Understanding of eigenvalues and eigenvectors;
Competence in modelling of dynamic mechanical systems
(kinematics and oscillatory systems), and/or electrical systems
(DC/AC analysis of circuits).
|
| Displayed in Visiting Students Prospectus? | No |
Course Delivery Information
|
| Delivery period: 2014/15 Semester 2, Available to all students (SV1)
|
Learn enabled: Yes |
Quota: None |
|
Web Timetable |
Web Timetable |
| Course Start Date |
12/01/2015 |
| Breakdown of Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 22,
Seminar/Tutorial Hours 11,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
63 )
|
| Additional Notes |
|
| Breakdown of Assessment Methods (Further Info) |
Written Exam
80 %,
Coursework
20 %,
Practical Exam
0 %
|
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
|
| Main Exam Diet S2 (April/May) | | 2:00 | | | Resit Exam Diet (August) | | 2:00 | |
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
Matlab/Simulink for Control workshops (3 hours in total) to be
held in order to assist with the preparation of the assignment.
Additionally, demonstrations of control systems will take place
during the Innovative Learning Week. |
Additional Information
| Academic description |
Not entered |
| Syllabus |
Topics covered (and indicative no. of lectures for each):
Transducers (3 lectures): main types including flow, pressure,
temperature, position, force, velocity and acceleration
transducers; signal conditioning and interfacing.
Mathematical Models of Control Systems (6 lectures): open and
closed-loop systems; static and dynamic response;
modelling of linear systems; linearization; Laplace transform;
transfer functions; block diagrams; signal flow graphs.
Feedback Systems (7 lectures): 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 (5 lectures): 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 (1 lecture):
Introduction to Artificial Intelligence (Neural Networks, Fuzzy
Controllers); Exemplar applications of Artificial Intelligence 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:
Ogata, K., Modern Control Engineering, 5th ed., Pearson
Education, 2008, ISBN-10: 0137133375
Nise, N. S., Control Systems Engineering, 6th ed., Willey
International, 2011, ISBN-10: 0470646128
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/Simulink
based assignment to be submitted towards the end of
semester. Three workshops on Matlab/Simulink will take place
to assist students with the assignment. |
| Keywords | Control Systems, Control Engineering, Instrumentation |
Contacts
| Course organiser | Dr Aristides Kiprakis
Tel: (0131 6)50 5586
Email: Aristides.Kiprakis@ed.ac.uk |
Course secretary | Mrs Lynn Hughieson
Tel: (0131 6)50 5687
Email: Lynn.Hughieson@ed.ac.uk |
|
© Copyright 2014 The University of Edinburgh - 29 August 2014 4:43 am
|
University Homepage