This professionally accredited course covers areas ranging from classical control system design to optimal, adaptive and intelligent control systems, such as proportional + Integral + Derivative (PID) control, Smith Predictor, Model Predictive Control (MPC), state variable feedback pole placement.
We aim to develop the skills required to design, analyse and simulate control systems. Teaching is practical in nature with laboratory sessions in specialist software, including Matlab/Simulink, LabVIEW and Maple. Following these simulation studies, you should be able to deploy control systems on specialist control teaching hardware from Bytronic Ltd and Quanser. We aim for project work across this course to be based on real-life situations to gain familiarity of methods and techniques, either from our industrial partners or to support on-going research project in the area of automotive control systems, cooperative and autonomous vehicles, preventive maintenance applied to medical devices.
The course aims to draw on the industrial experience of academics who have worked as engineers and R&D Scientists at various companies such as Jaguar Land Rover and conduct research activity covering control for automotive, health rehabilitation, robotics, and power systems applications, to mention a few. Academic members of staff also have rich collaboration and network with other universities in the UK and abroad.
You’ll have the opportunity to attend our series of seminars and workshops run by the Faculty of Engineering, Environment and Computing, with internal and external speakers from academia and industry in various topics related to systems and control and its various applications, as well as other more general topics in engineering,
Each year, members of our Industrial Advisory Board and other local industrial partners, such as JLR and Horiba-MIRA, are invited to the Postgraduate Control Systems Engineering Project Open Day. As well as offering a number of industry sponsored prizes to reward outstanding achievement, this event provides an opportunity to network with future employers.