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for a past academic year. Please see the current academic year for up to date information.
| Unit name |
Industrial Control |
| Unit code |
MENGM0044 |
| Credit points |
10 |
| Level of study |
M/7
|
| Teaching block(s) |
Teaching Block 2 (weeks 13 - 24)
|
| Unit director |
Dr. Alicia Gonzalez-Buelga |
| Open unit status |
Not open |
| Pre-requisites |
None
|
| Co-requisites |
None
|
| School/department |
School of Electrical, Electronic and Mechanical Engineering |
| Faculty |
Faculty of Engineering |
Description including Unit Aims
In this unit the students are provided with a comprehensive understanding of how to develop computer simulations of dynamic systems, in particular industrial processes, with control design purposes.
Intended Learning Outcomes
On successful engagement with the unit the participants should be able to:
- Demonstrate knowledge of the mathematical and computer modelling by developing numerical simulations of industrial processes (plants). [SM1m, EA1m]
- Describe the fundamental steps of classical control design methods: roots loci, Nyquist and Bode plots for SISO (single input-single output) plants and pole placement for MIMO (multiple input – multiple-output) plants. Implement the mentioned methods using computer based techniques. [SM2m,EA2m,EA3m]
- List and describe instrumentation and measurement systems integrating knowledge from other engineering disciplines. Implement sensors into computational simulations. [SM3m, SM5m]
- Apply different control analysis and design tools into real applications, with uncertainty, using computational models. [EA4m,D3m,P3,P4m,P8m]
- Design the control elements of a given industrial process, evaluate the performance of the proposed solution and present the results to a panel. [EA6m, G1, G4]
Teaching Information
The teaching will be evenly split into lectures introducing fundamental concepts and computer laboratory sessions.
A blended learning approach will be used in this unit where some aspects are delivered in a flipped framework with videos and other e-learning material being available before problem classes. Online polls (turningpoint) will be also used.
Assessment Information
- e-Assessment (30%) to test the knowledge and comprehension mathematical modelling, classical control design methods and instrumentation (ILO1, ILO2, ILO3). Time limited multiple choice and numerical questions quizzes on Blackboard. A single attempt will be allowed for each student.
- Coursework (70%) group report based on an industrial control design project, including an individual presentation (ILO1, ILO4, ILO5)
Reading and References
Ogata K.2010. Modern Control Engineering. Pearson Prentice Hall
Klee H. and Allen R. 2011 Simulation of Dynamic system with MATLAB and Simulink. Boca Raton, FL : CRC Press
Xue D. and Chen Y. 2015 Modelling, analysis and design of control systems in MATLAB and Simulink. New Jersey : World Scientific
Ogata K.2008. Matlab for Control Engineers. Pearson Prentice Hall
