Undergraduate Course: Control and Instrumentation Engineering 3 (SCEE09002)
|School||School of Engineering
||College||College of Science and Engineering
|Credit level (Normal year taken)||SCQF Level 9 (Year 3 Undergraduate)
||Availability||Available to all students
|Summary||This 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 an interactive lab component which allows the students to get practical experience in working with a dynamic system and designing a simple controller.
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)
||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;
- Familiarity with dynamic mechanical systems (kinematics and oscillatory systems), and/or electrical systems (DC/AC analysis of circuits).
|High Demand Course?
Course Delivery Information
|Academic year 2022/23, Available to all students (SV1)
|Course Start Date
|Learning and Teaching activities (Further Info)
Lecture Hours 22,
Seminar/Tutorial Hours 11,
Supervised Practical/Workshop/Studio Hours 3,
Formative Assessment Hours 1,
Summative Assessment Hours 4,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
|Assessment (Further Info)
|Additional Information (Assessment)
||Formative feedback is given in the form of a take home exam-level question answered by the students during a tutorial session. Student submit then solution is then discussed, indicating the common errors made by students and presenting a marking template for the students to self- or peer-mark.
|No Exam Information
On completion of this course, the student will be able to:
- Understand how transducers work and interface with a control system and appreciate the theoretical and practical limitations in any measurement;
- Derive the transfer function of a linear (or linearised) dynamic system;
- Understand the concept of feedback in control systems;
- Analyse the behaviour of a linear SISO system in both time and frequency domains and assess its stability;
- Design appropriate controllers for simple control systems to meet performance specifications;
Dorf, R. C. and Bishop, R. H., Modern Control Systems, 12th
ed., Pearson Education, 2011, ISBN-10: 0131383108
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
|Graduate Attributes and Skills
|Keywords||Control Systems,Control Engineering,Instrumentation
|Course organiser||Dr Aristides Kiprakis
Tel: (0131 6)50 5586
|Course secretary||Ms Brunori Viola
Tel: (0131 6)50 5687