- 2011
View content for printing (opens a new page)EEEN40112 - Process Control and Automation
Availability - Course (Compulsory/Elective)
Requisites
| Pre Requisites | |
| 36 | |
Aims
The programme unit aims to:
- Introduce students to the fundamental concepts of applied industrial process control, including dynamic modelling, real-time optimisation and statistical process control.
- Provide an overview of the sensor, actuator and control hardware systems used in industrial process control systems
Brief Description
Description of unit:
(1)Process Control:
PID control: purpose of the three terms, implementation in industry
PID tuning, comparing methods such as Ziegler-Nichols/Cohen-Coon with lambda-tuning
Velocity and positional form of discrete PID
Cascade control, decoupling (static and dynamic), Smith predictors
Relative Gain Array
(2)Advanced Process Control
Model Predictive Control
Real-time optimisation (linear programming)
(3)Statistical Process Control
Basic statistical analysis and inference
Normal distribution
t-distribution
SPC Charts (x-bar, range, moving range, pareto)
(4)Automation
Measuring systems: temperature, pressure, flow
Actuators: control valves, variable speed pumps
Industrial control systems: DCS, PLC, SCADA
(5)Case Studies:
Design of a control system for a CSTR and distillation column
Learning Outcomes
Students will be able to:
Knowledge and understanding
- Understand the tools and methods used in industrial process control
Intellectual skills
- Design various process controllers, including single-loop PID, cascade, feedforward, de-couplers and model predictive control
- Explain what model predictive control is and how it is applied to multivariable problems
- Explain the concept of real-time optimisation and solve a linear programming problem using graphical methods
- Construct statistical process control charts from a given data set.
- Identify suitable process control hardware to solve specific problems.
Practical skills
- Tune a PID controller using various tuning rules
- Write simple programmes for use in Programmable Logic Controllers
Transferable skills and personal qualities
- Use the relevant modelling and design tools for application in other areas.
- Use computer based simulation tools to analyse the response of dynamic systems
Teaching & Learning Process (Hours Allocated To)
Lectures |
Tutorials/Example Classes |
Practical Work/Laboratory |
Private Study |
Total |
|---|---|---|---|---|
| 27 | 9 | 14 | 100 | 150 |
Assessments
Unseen Written Examination:
Four questions
Length of examination is 2 hours
Calculators permitted
The unseen written examination forms 70% of the total unit assessment
Coursework-Laboratories:
The number of laboratories: 3
The length of each laboratory is 3 hours
First laboratory is assessed with a short report
Second laboratory is assessed in lab
Third laboratory is assessed by a short report
Each piece of coursework is worth 10% of the overall unti mark
Staff Involved
| Prof Barry Lennox | - | Lecturer |