SHE Level 5
SCQF Credit Points 15.00
ECTS Credit Points 7.50
Module Code MMH623620
Module Leader Paul McKenna
School School of Computing, Engineering and Built Environment
Subject Instrumentation and Control
  • A (September start)
  • B (January start)
  • C (May start)

Pre-Requisite Knowledge

Co-requisite Knowledge MMH120620 Control Systems

Summary of Content

Identification and system modelling from real data play an important role in this module. This approach thus leads to more complex and realistic models that can be used to design more robust and reliable controllers that take into account problematic physical effects such as time-delays and sensor noise. The module will cover more advanced aspects of control design such as feed forward, multivariable control, optimal and robust control.


Topics to be covered include: Dynamic Response characteristics of complex processes. Techniques for identifying system models from real data. Control within an industrial application Advanced PID design, compensation of time-delays, anti-wind-up, non-minimum phase. The effects of noise in the control loop will be quantified and various strategies explored to modify its effects on system performance and stability. Feed forward, multi-loop and multivariable control. Case Studies analyse in depth the effect that actuator dynamics and sensor sensitivity have on the performance of industrial control systems. In particular the effects of under actuation will be quantified and solutions to this problem explored through advanced control techniques. Introduction to optimization and optimal control. Convex optimization problems and formulation of optimization problems in control. Design of state-feedback based optimal controllers for MIMO systems. Case studies from industrial problems. Simulations in MATLAB. The syllabus consists of a list of topics normally covered within the module. Each topic may not be dealt with in the same detail.

Learning Outcomes

On completion of this module the student should be able to:1. Identify a system model in various formats; 2. Select appropriate control strategies for a particular application;3. Determine the likely performance of a system based on system specification and the particular application.4. Design optimal and robust controllers in state space.

Teaching / Learning Strategy

Full Time This module will be taught through in depth case studies which will be presented by lectures, supported by tutorials, practical laboratories and directed study material. A combination of blended learning techniques is used including interactive video presentations and discussions of control system simulations in action, a series of eTutorials with various adaptive feedback paths and direct personal contact with students addressing particular individual issues. Distance learning As indicated above, the module is taught through a series of in depth case studies. Students will be guided through the 'lecture material' (presented to the full-time students and included in the study pack) by a Study Guide which will make reference to: core material, background information, relevant published papers and web sites. The material in this module will broaden and deepen the students understanding of Industrial process systems by looking at global real world problems faced by practicing engineers.

Indicative Reading

Process Dynamics & Control 3e, Seborg, Edgar, Mellichamp, Wiley, 2011. Process Identification and PID Control, Sung, Lee & Lee, Wiley, 2009 Multivariable Feedback Control: Analysis and Design. 2e, S. Skogestad, I, Postlethwaite, Wiley, 2005 Relevant Published Journal and Conference Papers

Transferrable Skills

The student should: further develop technical writing skills; further develop critical thinking and problem solving; further develop information retrieval skills; further develop independent learning; further develop group working skills

Module Structure

Activity Total Hours
Practicals (FT) 18.00
Tutorials (FT) 6.00
Tutorials (FDL) 6.00
Assessment (FDL) 24.00
Independent Learning (FDL) 102.00
Assessment (FT) 24.00
Independent Learning (FT) 82.00
Lectures (FT) 20.00
Practicals (FDL) 18.00

Assessment Methods

Component Duration Weighting Threshold Description
Coursework 1 n/a 70.00 45% Coursework 1
Coursework 2 n/a 30.00 45% Coursework 2