EEE3024 : Industrial Automation and Control Systems
EEE3024 : Industrial Automation and Control Systems
- Offered for Year: 2024/25
- Module Leader(s): Professor Damian Giaouris
- Lecturer: Dr Matthew Armstrong, Dr Kristopher Smith
- Owning School: Engineering
- Teaching Location: Newcastle City Campus
Semesters
Your programme is made up of credits, the total differs on programme to programme.
| Semester 1 Credit Value: | 10 |
| Semester 2 Credit Value: | 10 |
| ECTS Credits: | 10.0 |
| European Credit Transfer System | |
Pre-requisite
Modules you must have done previously to study this module
| Code | Title |
|---|---|
| ENG2026 | Automatic Control Systems |
Pre Requisite Comment
ENG2026 teaches the basic material of control systems which EEE3024 builds on.
Co-Requisite
Modules you need to take at the same time
Co Requisite Comment
N/A
Aims
To provide students with the knowledge to apply Industrial Automation and Control Theory to engineering problems and introduce concepts of digital and analogue controller design. This will be achieved through lectures, tutorials, lab sessions and independent study. The skills obtained in this module are valuable for engineering careers in areas such as electric drives, power systems and advanced control systems.
Outline Of Syllabus
This module introduces the important subject of Industrial Automation and Control Systems that can be used to solve a variety of different engineering problems. The focus will be on the well-known PLCs, State Space and Digital control systems.
The delivery of the module will be a series of lectures in a lecture room and supported by additional lab sessions.
Learning Outcomes
Intended Knowledge Outcomes
The mapping of certain AHEPv4 learning outcomes to each intended knowledge outcome is indicated in each point. By the end of the module a student will be able to:
1. Use of PLCs to control simple systems. (M1 and M2)
2. Describe the properties of a system based on their transfer function in the z-domain. (M2)
3. Design simple controllers based on given desired systems properties. (M2 and M3)
4. Describe basic properties of robotic manipulators. (M2)
Intended Skill Outcomes
The mapping of certain AHEPv4 learning outcomes to each intended skill outcome is indicated in each point. By the end of the module, it is expected students will be able to:
1. Use the z- transform to model dynamical systems. (M1)
2. Design PLC controllers for real life applications. (M6, M12, M13)
3. Use various techniques, like pole placement, to design simple controllers (M2 and M3)
Teaching Methods
Teaching Activities
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Structured Guided Learning | Lecture materials | 40 | 0:21 | 14:00 | Non-Synchronous (recorded) |
| Guided Independent Study | Assessment preparation and completion | 1 | 2:00 | 2:00 | Completion of final exam. |
| Scheduled Learning And Teaching Activities | Lecture | 14 | 2:00 | 28:00 | Present in Person (PiP) |
| Guided Independent Study | Assessment preparation and completion | 1 | 38:00 | 38:00 | Revision for final examinations |
| Guided Independent Study | Directed research and reading | 1 | 66:00 | 66:00 | Reviewing lecture notes, recommended subject related reading |
| Guided Independent Study | Skills practice | 1 | 38:00 | 38:00 | Tutorials, and completion of Self Directed Learning exercises |
| Guided Independent Study | Reflective learning activity | 40 | 0:21 | 14:00 | Student reflection on Recorded Lecture Materials (equal time to delivery) |
| Total | 200:00 |
Teaching Rationale And Relationship
There is a combination of lectures and practical sessions using packages like Matlab/Simulink. Through this combined approach, students will be able to better understand and apply the concepts of automation and control systems. Tutorials provide students with the opportunity to apply knowledge and confirm the taught concepts.
Tutorials typically align with the expectations of the examination.
Self Directed Learning exercises provide students with the opportunity to explore complex problem based learning exercises. Self-Directed- Learning exercises also typically align with the expectations of the examination.
Reading Lists
Assessment Methods
The format of resits will be determined by the Board of Examiners
Exams
| Description | Length | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|---|
| Written Examination | 120 | 2 | A | 75 | Closed Book examination |
Other Assessment
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Written exercise | 1 | M | 25 | 2000 words |
Assessment Rationale And Relationship
The assessment reflects the innovative combined teaching style and consists of a CW in semester 1 (25%) and a closed book exam in semester 2 (75%).
The assessment requires students to have a formal knowledge of the basic principles of industrial automation and control systems. Whilst the format of the examination is the same for all students, each paper may contain student specific design parameters. This yields a unique solution and conclusion set for each candidate.
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- EEE3024's Timetable
Past Exam Papers
- Exam Papers Online : www.ncl.ac.uk/exam.papers/
- EEE3024's past Exam Papers
General Notes
N/A
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Disclaimer
The information contained within the Module Catalogue relates to the 2024 academic year.
In accordance with University Terms and Conditions, the University makes all reasonable efforts to deliver the modules as described.
Modules may be amended on an annual basis to take account of changing staff expertise, developments in the discipline, the requirements of external bodies and partners, and student feedback. Module information for the 2025/26 entry will be published here in early-April 2025. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.