ADVANCED PROCESS CONTROL - 2022/3
Module code: ENGM255
Module Overview
Automatic control is an essential technology to maintain safe, economic and environmentally benign operation of manufacturing processes. Process control is increasingly needed and challenging because modern plants have become more difficult to operate as the result of complex and highly integrated processes. This module aims to provide an introduction to process control, balancing theoretical and practical aspects. The module will review basic concept in control, including dynamics, feedback and stability, based on which more advanced and modern techniques will be introduced. It will integrate computer experiments, which closely simulate the operation of process plants, to enhance the understanding of process control principles.
Module provider
Chemistry and Chemical Engineering
Module Leader
CECELJA Franjo (Chst Chm Eng)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 7
Module cap (Maximum number of students): N/A
Overall student workload
Independent Learning Hours: 117
Lecture Hours: 22
Laboratory Hours: 11
Module Availability
Semester 1
Prerequisites / Co-requisites
None.
Module content
- Introduction to process operation hierarchy; the concept of control and system dynamics; classical feedback control and PID
- Feedforward and ratio control
- Enhanced single-loop control
- Multiloop and multivariate control
- Batch process control
- Real-time optimisation
- Model predictive control
Assessment pattern
| Assessment type | Unit of assessment | Weighting |
|---|---|---|
| Coursework | COURSEWORK | 50 |
| Examination | 2 hrs Invigilated Exam | 50 |
Alternative Assessment
As above.
Assessment Strategy
The assessment strategy is designed to provide students with the opportunity to demonstrate the full range of learning outcomes though examination and one individual piece of coursework.
Thus, the summative assessment for this module consists of:
· Unseen written examination – 50% (learning outcomes assessed 1, 2, 3, 4, 5, 6, 7, a, c)
· Coursework: design of a single loop and a multi-input-multi-output controller – 50% (learning outcomes assessed 1-7, a, b, c, d)
Formative assessment
· None
Feedback
- Verbal feedback during the computer lab based problem solving sessions (learning outcomes 1-7, a,c,d)
- Written feedback on the coursework (learning outcomes 1-7, a-d)
Module aims
- An understanding of the principles of automatic process operation
- A knowledge of the analytic tools for analysing process dynamics
- An understanding of the principles of process control
- An understanding of the conventional control technologies
- A knowledge of the design methods for process controllers
- An understanding of how controllers' performance is evaluated
Learning outcomes
| Attributes Developed | ||
| 1 | Understand the key concepts of process control technology | K |
| 2 | Develop control-oriented process models | KC |
| 3 | Carry out analysis of process dynamics | KC |
| 4 | Design controllers to maintain optimal process operation under various disturbances | KC |
| 5 | Understand the difference between analogue and digital control systems | KC |
| 6 | Understand the need to control multiple process variables in a complex manufacturing process | KC |
| 7 | Integrate controllers with higher-level objectives to realise optimal process operation in a hierarchical manner | KCP |
| 8 | Analysis and visualisation of data | T |
| 9 | Technical report writing | T |
| 10 | Reviewing, assessing, and critical thinking | T |
| 11 | Use of simulation software | T |
Attributes Developed
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Methods of Teaching / Learning
The learning and teaching strategy is designed to:
- Cover in lectures the necessary fundamental knowledge and analysis of control problems;
- Allow student to consolidate and apply understanding through computer lab based problem sessions and associated coursework.
The learning and teaching methods include:
- Lectures
- Computer lab based problem solving sessions
- Independent learning
Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.
Reading list
https://readinglists.surrey.ac.uk
Upon accessing the reading list, please search for the module using the module code: ENGM255
Programmes this module appears in
| Programme | Semester | Classification | Qualifying conditions |
|---|---|---|---|
| Process Systems Engineering MSc | 1 | Compulsory | A weighted aggregate mark of 50% is required to pass the module |
| Chemical Engineering MEng | 1 | Optional | A weighted aggregate mark of 50% is required to pass the module |
| Chemical and Petroleum Engineering MEng | 1 | Optional | A weighted aggregate mark of 50% is required to pass the module |
| Renewable Energy Systems Engineering MSc | 1 | Optional | A weighted aggregate mark of 50% is required to pass the module |
| Petroleum Refining Systems Engineering MSc | 1 | Optional | A weighted aggregate mark of 50% is required to pass the module |
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2022/3 academic year.