1. Derive theoretical models for the study of engineering control systems. (AHEP 4: F1)
2. Improve on an undamped control system in order for it to exhibit a stable response. (AHEP 4: F13)
3. Investigate and report on the use of control to improve a system's response. (AHEP 4: F12 and F17)

A coursework weighted at 100% based on design exercise and practical measurements assessing Learning Outcomes 1, 2 and 3. Meeting AHEP 4 Outcomes: F1, F12, F13 and F17.

Modelling of typical elements of a servo mechanism (motor, gearbox, amplifier and sensors) and block diagram representation of systems.
Open and closed loop simplification.
Transfer function analysis of transient and steady-state response.
S-plane and frequency response analysis, gain and phase margins.
How PID control improves the response of a system.
Digital implementation of a control system and examination of parameters that affect response (sampling rate, aliasing, pre-filtering and quantisation).

Control systems are used in a diverse range of real-life applications. This module is designed to prepare engineering students to have knowledge and understanding of control systems and their applications.

This module aims to develop your skills and knowledge to help support your learning as a remote/off-campus student.
Learning about all aspects of the contents will be facilitated via a Virtual Learning Environment. Subsequently, students will work through the module material provided on the VLE at a pace suggested within the VLE for the module. The material will include activities that allow students to assimilate the concepts and skills required by the module and students will be encouraged to discuss relevant aspects via vehicles such as discussion forums hosted within the VLE, which will allow discussion with a student's peer group as well as the module tutor. Live tutorials, other material, and meetings will occur as appropriate to provide additional support.

Nise, N.S., (2020). Control systems engineering. John Wiley & Sons., ISBN: 9781119474227
Bolton, W., (2021). Instrumentation and control systems. Newnes., ISBN: 9780128234716
Richard C., Dorf and Bishop, R.H., (2022). Modern control systems. Pearson Prentice Hall., ISBN: 9780137307098
Hargreaves, M., (1996). Engineering systems: modelling and control. Prentice Hall., ISBN-13¿: ¿ 978-0582234192

Blackboard VLE Resources, Library facilities, Google Scholar, Office 365