This module covers a wide range of control system analysis and design techniques. Introduction, history, and applications of control system is included. Mathematical models and design principles of control systems will be covered along with transformation techniques to complete analysis of common control systems. Interpretation techniques i.e., block diagram and signal flow graph models will be applied for real systems. The module will explore techniques to evaluate performance of feedback control system. Transient responses of common control systems and characteristics such as steady state error will be discussed. The module will also provide a deep understanding of principles of PID controls and related tuning techniques. Some examples of practical analogue and digital control systems will also be covered.

A 2500-word individual report weighted at 60%, assessing learning outcomes 1 and 4. The students are expected to work in groups to complete a control system design project. Each group member is then required to compile an individual report to inform about the group work undertaken. The report should explain different stages of the design process and critical evaluation of the design. Meeting AHEP 4 Outcomes C10, C12, C16

A 1.5-hour examination weighted at 40%, assessing learning outcomes 2 and 3. Several questions to be answered covering topics included in the module to demonstrate deep knowledge and understanding of computational methods and analysis techniques applicable to the control systems. Meeting AHEP 4 Outcome C1, C3



Professional Body requirements mean that a minimum overall score of 40% is required to pass a module, with each element of assessment requiring a minimum mark of 30% unless otherwise stated.

To enable students gain deep knowledge and understanding of the topics and to equip them with the ability to analyse and apply concepts related to control systems following learning strategies are used:

Problem Based Lectures

Tutorials/Laboratories consisting of group work and individual activities

Independent study: (including reading, information gathering, discussion and debate, exploring digital resources, practice using mock tests and coursework preparation)

Recognise the elements of control system design and be able to design models of real systems. (AHEP 4: C16)

Application
Knowledge & understanding
Team Work


Analyse dynamic system response using transform techniques, time and frequency response methods. (AHEP4: C1, C3)

Analysis
Knowledge & understanding


Utilise control system interpretation methods i.e., block diagrams and signal-flow graphs to analyse real control systems. (AHEP4: C3)

Analysis
Knowledge & understanding


Design simple control systems and assess their performance in time and frequency domain. (AHEP4: C10, C12)

Application
Analysis

Bolton, W. (2015) Programmable Logic Controllers. 6th Ed. Kidlington, Oxford: Newnes.



Dorf, R. C and Bishop, R. H. (2021) Modern Control Systems. 14th Ed. Upper Saddle River, NJ: Pearson.



Kamel, K. and Kamel, E. (2014) Programmable Logic Controllers: Industrial Control. London: McGraw-Hill Education.



Nise, N. S. (2020) Control Systems Engineering. 6th Ed. Asia: John Wiley & Sons

Blackboard, Software tools to simulate and analyse control systems.

The theory and principles of control systems have gained attention recently due to its increasing applications. This module will cover principles of feedback control and techniques that allow evaluation of a given system. Performance of control systems in several real-world applications will be covered. Computational methods used to analyse, interpret, and inform about a given control system will be studied. Simulation exercises and group work will be conducted to analyse practical systems considered a range of quality of services criterion.