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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 instrumentation and control systems. The course starts with an introduction to instrumentation, covering the basics of sensor technology and measurement techniques, including the characteristics and real-world limitations of transducers as well as their interfacing with the control system. It then goes on to introduce Control Theory, providing a basic understanding and building the mathematical background for the modelling, design and analysis of linear single-input single-output feedback systems. It then 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.

The course also has a hands-on laboratory (3 hours in total split into 2 sessions) which allows the students to get practical experience in working with a dynamic system and designing a simple controller.
Course description Topics covered (and indicative no. of lectures for each):
Instrumentation (3 lectures): main types of transducers including flow, pressure, temperature, position, force, velocity and acceleration transducers; signal conditioning and interfacing.

Mathematical Models of Dynamic Systems (5 lectures):
open and closed-loop systems; static and dynamic response; modelling of linear systems; linearisation; Laplace transform; transfer functions; block diagrams.

Feedback Systems (5 lectures):
error signals; sensitivity; disturbance rejection; steady-state and transient response; performance of 1st and 2nd order systems; stability; Routh-Hurwitz stability criterion.

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.

Controller Design (4 lectures):
Proportional-Integral-Derivative controllers; Phase-lead and lag compensators; introduction to Artificial Intelligence for Control (Neural Networks, Fuzzy Controllers).
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;
- Familiarity with dynamic mechanical systems (kinematics and oscillatory systems), and/or electrical systems (DC/AC analysis of circuits).
High Demand Course? Yes
Course Delivery Information
Academic year 2017/18, Available to all students (SV1) Quota:  None
Course Start Semester 2
Course Start Date 15/01/2018
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 (Lab Report) (20%)
Final Exam (80%)
Feedback Formative feedback is given in the form of an exam-level question answered by the students during a tutorial session. The solution is then discussed, indicating the common errors made by students and presenting a marking template for the students to self- or peer-mark.
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, the student will be able to:
  1. Understand how transducers work and interface with a control system and appreciate the theoretical and practical limitations in any measurement;
  2. Derive the transfer function of a linear (or linearised) dynamic system;
  3. Understand the concept of feedback in control systems;
  4. Analyse the behaviour of a linear SISO system in both time and frequency domains and assess its stability;
  5. Design appropriate controllers for simple control systems to meet performance specifications;
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
Additional Class Delivery Information 22 lectures;
10 tutorial/example sessions
2 lab sessions (1.5 hour each)
KeywordsControl Systems,Control Engineering,Instrumentation
Course organiserDr Aristides Kiprakis
Tel: (0131 6)50 5586
Course secretaryMrs Lynn Hughieson
Tel: (0131 6)50 5687
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