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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2014/2015
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DRPS : Course Catalogue : School of Engineering : School (School of Engineering)

Undergraduate Course: Control and Instrumentation Engineering 3 (SCEE09002)

Course Outline
SchoolSchool of Engineering CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 9 (Year 3 Undergraduate) AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
SummaryThis 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.
Course description 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.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Additional Costs None
Information for Visiting Students
Pre-requisitesAny 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).
Course Delivery Information
Academic year 2014/15, Available to all students (SV1) Quota:  None
Course Start Semester 2
Course Start Date 12/01/2015
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 22, Seminar/Tutorial Hours 11, Formative Assessment Hours 1, Summative Assessment Hours 4, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 60 )
Assessment (Further Info) Written Exam 80 %, Coursework 20 %, Practical Exam 0 %
Additional Information (Assessment) Assignment (20%)
Final Exam (80%)
Feedback Not entered
Exam Information
Exam Diet Paper Name Hours & Minutes
Main Exam Diet S2 (April/May)2:00
Resit Exam Diet (August)2:00
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.
Introduce LabVIEW as a platform for the control and supervision of mixed electrical/mechanical dynamic systems.
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
Additional Information
Graduate Attributes and Skills Not entered
Special Arrangements Matlab/Simulink for Control workshops (3 hours in total) to be
held in order to assist with the preparation of the assignment.
KeywordsControl Systems, Control Engineering, Instrumentation
Contacts
Course organiserDr Aristides Kiprakis
Tel: (0131 6)50 5586
Email: Aristides.Kiprakis@ed.ac.uk
Course secretaryMrs Lynn Hughieson
Tel: (0131 6)50 5687
Email: Lynn.Hughieson@ed.ac.uk
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