Module title: Advanced Control

SCQF level: 10:
SCQF credit value: 20.00
ECTS credit value: 10

Module code: MEC10104
Module leader: Keng Goh
School School of Engineering and the Built Environment
Subject area group: Mechanical Materials and Manufacturing Management
Prerequisites

Module code MEC09109, MEC08106
Module title Programmable Control Engineering, Control Measurement and Instrumentation
Examples of equivalent learning Basic system modelling using 1st principle equation derivation, transfer function, basic control design and simulation

2018/9, Trimester 1, Face-to-Face, Edinburgh Napier University
Occurrence: 001
Primary mode of delivery: Face-to-Face
Location of delivery: MERCHISTON
Partner: Edinburgh Napier University
Member of staff responsible for delivering module: Keng Goh
Module Organiser:


Learning, Teaching and Assessment (LTA) Approach:
Learning & teaching methods including their alignment to LOs
Delivery of the module includes both working individually and in small group to promote active and collaborative learning. Students, firstly, study basic modelling skills by representing the practical system using appropriate transfer functions [LO1]. Use of advanced software/technology such as Matlab Simulink software for simulation process [LO2, 3]. A practical system is used for demonstrating control system application and control performance [LO4]. Both formative and summative assessment are used to achieve the learning outcome
Embedding of employability/ PDP/ scholarship skills
Individual and team-work are embedded in the class activities, as well as use of technology to enhance students’ skills in engineering field. The use of journal/conference papers as reference to the coursework study.
Research/ teaching linkages
Examples from the Journal paper are to be drawn and used in the class in term of control concept being applied in the wider sense
Supporting equality and diversity
Lecturer and technician support is on hand throughout the module and students from all backgrounds are encourage to participate equally to the discussion and learning events. Consideration will be given to alternative work on a case by case basis for students with special needs.

Internationalisation
Using of relevant engineering standards in the teaching, marking criteria is given on all coursework handouts and explicit of the report format


Formative Assessment:
Formative – A number of class exercises to complete during the practical session to analyses the response of the control systems. This is achieved via specific advanced software such as Matlab Simulink and appropriate hardware in the laboratory. The laboratory session is arranged on weekly basis in addition to the lecture [LO1, LO4]

Summative Assessment:
Summative – One continuous assessment (coursework report) based on the industrial-environment problem and One written examination at the end of the semester. Students will have to justify the industrial-environment or any other given scenario and understanding the relevant factor that may influence the overall environment before selecting an appropriate control system solution. [LO2,3]

Student Activity (Notional Equivalent Study Hours (NESH))
Mode of activityLearning & Teaching ActivityNESH (Study Hours)
Face To Face Lecture 26
Face To Face Practical classes and workshops 26
Independent Learning Guided independent study 145
Face To Face Centrally Time Tabled Examination 3
Total Study Hours200
Expected Total Study Hours for Module200


Assessment
Type of Assessment Weighting % LOs covered Week due Length in Hours/Words
Report 50 1,2,4 7 HOURS= 0, WORDS= 2500
Centrally Time Tabled Examination 50 1, 2, 3 14/15 HOURS= 3, WORDS= 0
Component 1 subtotal: 50
Component 2 subtotal: 50
Module subtotal: 100

Description of module content:

Basic of control techniques: Modelling, transfer function representation, block diagram analysis and simple closed-loop PID control system.
Several advanced control techniques are considered: feedforward, cascade, multivariable, self-tuning and adaptive control, fuzzy logic, ratio and neural network

Learning Outcomes for module:

On completion of this module you will be able to:
LO1: utilising modelling skills to analyse various closed-loop control techniques
LO2: Analyse advanced control systems used for engineering applications via simulation
LO3: Select and design advanced control systems for given applications
LO4: Investigate hardware and software involved in practical implementation of control system

Indicative References and Reading List - URL:
MEC10104 - Advanced Control