ADVANCED PROCESS CONTROL - 2017/8

Module code: ENGM255

Module provider

Chemical and Process Engineering

Module Leader

ARELLANO-GARCIA H Prof (Chm Proc Eng)

Number of Credits

15

ECT Credits

7.5

Framework

FHEQ Level 7

JACs code

H800

Module cap (Maximum number of students)

N/A

Module Availability

Semester 1

Overall student workload

Independent Study Hours: 117

Lecture Hours: 22

Assessment pattern

Assessment type Unit of assessment Weighting
Examination EXAMINATION 50%
Coursework COURSEWORK 50%

Alternative Assessment

As above.

Prerequisites / Co-requisites

None.

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 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
Understand the key concepts of process control technology K
Develop control-oriented process models KC
Carry out analysis of process dynamics KC
Design controllers to maintain optimal process operation under various disturbances KC
Understand the difference between analogue and digital control systems KC
Understand the need to control multiple process variables in a complex manufacturing process KC
Integrate controllers with higher-level objectives to realise optimal process operation in a hierarchical manner KCP
Analysis and visualisation of data T
Technical report writing T
Reviewing, assessing, and critical thinking T
Use of simulation software T

Attributes Developed

C - Cognitive/analytical

K - Subject knowledge

T - Transferable skills

P - Professional/Practical skills

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
Digital sampling, filtering and control
Multiloop and multivariate control
Batch process control
Real-time optimisation
Model predictive control


 

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: 2 hours per week for 11 weeks
Computer lab based problem solving sessions: 2 hours per week for 11 weeks
Independent learning: 117 hours in total


 

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)

Reading list

Reading list for ADVANCED PROCESS CONTROL : http://aspire.surrey.ac.uk/modules/engm255

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 2017/8 academic year.