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Semester 2

Control and Instrumentation Engineering 3 (SCEE09002)

Subject

Engineering

College

SCE

Credits

10

Normal Year Taken

3

Delivery Session Year

2023/2024

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).

Course 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.

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).

Assessment Information

Written Exam 0%, Coursework 100%, Practical Exam 0%

Additional Assessment Information

100% Coursework

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