School of Engineering

Staff Profile

Dr Matthew Armstrong

Senior Lecturer

Background

Roles and Responsibilities

  • PGT Academic Lead
  • Degree Programme Director: MSc Automation and Control.

Qualifications

  • MEng, Ph.D.

Memberships

  • Member of the Institution of Engineering and Technology (MIET)

Teaching

I am currently Degree Programme Director for the MSc Automation and Control programme in the School of Engineering.

Over the years, I have taught on several control modules within the School - Digital Control Systems; Linear Controller Design & State Space Systems; Industrial Automation, Robotics and Artificial Intelligence; and Distributed Control Systems. At present, I am leader for the following modules:

Undergraduate Teaching

Stage III/IV - Digital Control Systems (EEE3018)

Postgraduate Teaching

MSc - Digital Control Systems (EEE8007)

I strongly believe many complex control concepts are best learnt through application, further investigation, and reflection. As such, a large proportion of my teaching is based on Problem Based Learning techniques using Matlab/Simulink and hardware demonstrations. 













 

Research

Matthew is a member of the Electrical Power research group and his profile can be viewed on Google Scholar

 

Research Interests

My main research interests lie in power electronics converters, power electronic controllers, electric drives, and digital control systems. I have a particular interest in grid connected inverter systems, power quality monitoring and improvement, hardware-in-the-loop (HIL) emulation systems,  and system identification (parameter estimation) of power electronic systems.

Areas of Expertise

  • Renewable energy systems. Power quality improvement of grid connected inverter systems; elimination of DC current injection, current/voltage harmonics.
  • Hardware in the Loop (HIL) systems. Real time, real power level emulation of electrical power systems using advanced control techniques.
  • System Identification of Power Electronic Systems. Novel, real time, system identification algorithms for parameter determination.
  • Adaptive Control of Power Electronic Systems. Novel, real time, adaptive control algorithms for time varying systems.
  • Design and development of power electronic systems.
  • Real time control of power electronic systems.
  • System simulation and modelling using Matlab/Simulink.

 

Publications