Module Details
| Module Code: |
MECH8016 |
| Title: |
Process Automation and Control
|
|
Long Title:
|
Process Automation and Control
|
| NFQ Level: |
Advanced |
| Valid From: |
Semester 1 - 2016/17 ( September 2016 ) |
| Field of Study: |
5211 - Mechanical Engineering
|
| Module Description: |
This module presents the fundamental principles of control theory and the practice of automatic process control.
|
| Learning Outcomes |
| On successful completion of this module the learner will be able to: |
| # |
Learning Outcome Description |
| LO1 |
Develop dynamic mathematical process models that will aid the analysis, design, and operation of control systems |
| LO2 |
Evaluate the advantages, limitations and range of applicability of the basic components of control systems. |
| LO3 |
Design and tune feedback controllers |
| LO4 |
Apply a variety of techniques that enhance feedback control, including cascade control, ratio control and feedforward control. |
| LO5 |
Apply the fundamentals of dynamic simulation of process control systems using MATLAB |
| Dependencies |
Module Recommendations
This is prior learning (or a practical skill) that is strongly recommended before enrolment in this module. You may enrol in this module if you have not acquired the recommended learning but you will have considerable difficulty in passing (i.e. achieving the learning outcomes of) the module. While the prior learning is expressed as named MTU module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
|
| Students should have a good grasp of differential equations and the Laplace transform method of solving differential equations |
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module. You may not earn additional credit for the same learning and therefore you may not enrol in this module if you have successfully completed any modules in the incompatible list.
|
| No incompatible modules listed |
Co-requisite Modules
|
| No Co-requisite modules listed |
Requirements
This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed. You may not enrol on this module if you have not acquired the learning specified in this section.
|
| No requirements listed |
| Indicative Content |
|
Introduction to Control Systems
Open & Closed Loop Systems. Examples of closed loop systems. Mathematical models for closed loop systems. Stability of control systems. Elements of fundamental control. System sensitivity. Set point input and disturbance inputs.
|
|
Control System Modelling and Representation
Ordinary linear differential equations. Models of zero, first and second order. Mechanical, Electrical, Fluid and Thermal systems. Linearity. Block Diagrams. Control loop schematics. P & ID’s and ISA symbols.
|
|
System Characteristics
Zero order, first order, second order response. Higher order systems. Steady State Error. Dead time effects. Impulse dynamic response. Open loop and closed loop response. System identification. Performance Indices. Single Input/Single Output Systems.
|
|
Controller tuning
On/off and modulating controls. Effects of proportional, integral and derivative action on system response. Ziegler Nichols Rules. Auto-tuning. Fuzzy Logic Controllers. Adaptive control. Optimal control.
|
|
Cascade, feedforward and ratio control.
Feedback compensation, rate feedback. Feedforward techniques, cascade control. Pseudo-derivative feedback. Self Tuning Controllers. Application to process control. Computer Simulation.
|
|
Module Content & Assessment
|
| Assessment Breakdown | % |
|---|
| Coursework | 40.00% |
| End of Module Formal Examination | 60.00% |
Assessments
| End of Module Formal Examination |
|
|
| Reassessment Requirement |
Repeat examination
Reassessment of this module will consist of a repeat examination. It is possible that there will also be a requirement to be reassessed in a coursework element.
|
The University reserves the right to alter the nature and timings of assessment
Module Workload
| Workload: Full Time |
| Workload Type |
Contact Type |
Workload Description |
Frequency |
Average Weekly Learner Workload |
Hours |
| Lecture |
Contact |
formal lecture |
Every Week |
4.00 |
4 |
| Lab |
Contact |
Dynamic Simulation Laboratory |
Every Second Week |
1.00 |
2 |
| Independent & Directed Learning (Non-contact) |
Non Contact |
Self Directed Learning |
Every Week |
2.00 |
2 |
| Total Hours |
8.00 |
| Total Weekly Learner Workload |
7.00 |
| Total Weekly Contact Hours |
5.00 |
| Workload: Part Time |
| Workload Type |
Contact Type |
Workload Description |
Frequency |
Average Weekly Learner Workload |
Hours |
| Lecture |
Contact |
Theory |
Every Week |
3.00 |
3 |
| Lab |
Contact |
Dynamic Simulation Laboratory |
Every Month |
1.00 |
4 |
| Independent & Directed Learning (Non-contact) |
Non Contact |
Study |
Every Week |
3.00 |
3 |
| Total Hours |
10.00 |
| Total Weekly Learner Workload |
7.00 |
| Total Weekly Contact Hours |
4.00 |
|
Module Resources
|
| Recommended Book Resources |
|---|
-
Carlos A. Smith, Armando B. Corripio. (2006), Principles and Practices of Automatic Process Control, 3rd Edition. 1-7, 9-11, 13, John Wiley, USA, p.563 pages, [ISBN: 978-0-471-43190-9].
-
W. Bolton. INSTRUMENTATION AND CONTROL SYSTEMS, 1. Elsevier, Imprint NEWNES, p.352 pages, [ISBN: 13: 978-0-7506-6432-5].
| | This module does not have any article/paper resources |
|---|
| Other Resources |
|---|
-
Website, Spiraxsarco. (2007), Steam Engineering Tutorials, Spiraxsarco,
-
Website, Spiraxsarco. (2007), Control Hardware: Electric/Pneumatic
Actuation, Spiraxsarco,
|
|
