Module Details

Module Code: INTR8038
Title: Digital Industrial Systems
Long Title: Digital Industrial Systems
NFQ Level: Advanced
Valid From: Semester 2 - 2021/22 ( January 2022 )
Duration: 1 Semester
Credits: 5
Field of Study: 5213 - Interdisciplinary Engineering
Module Delivered in: 1 programme(s)
Module Description: This module introduces students to Industry 4.0 concepts where operational technology (OT) and information technology (IT) are converging. Product requirements of connected Industrial Internet of Things (IIoT) applications with real-time connectivity and potential cybersecurity risk are addressed.
 
Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 Implement a traditional control system for the selected industrial application and evaluate the dynamic behaviour of the closed-loop system.
LO2 Characterise the influence of limited communication and computation resources on the control loop and evaluate the real-time dynamic behaviour of control systems over different control networks.
LO3 Select an optimal cloud-fog computing based control structure to implement a control system for the selected industrial application and evaluate the effectiveness of the control structure in various scenarios.
LO4 Use software packages and tools for networked control system simulation.
LO5 Analyse cyber security and privacy issues in Industry 4.0 control systems and their impact on economy, environment and society.
Dependencies
Module Recommendations

This is prior learning (or a practical skill) that is strongly recommended before enrolment in this module. You may enrol in this module if you have not acquired the recommended learning but you will have considerable difficulty in passing (i.e. achieving the learning outcomes of) the module. While the prior learning is expressed as named MTU module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module. You may not earn additional credit for the same learning and therefore you may not enrol in this module if you have successfully completed any modules in the incompatible list.
No incompatible modules listed
Co-requisite Modules
No Co-requisite modules listed
Requirements

This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed. You may not enrol on this module if you have not acquired the learning specified in this section.
No requirements listed
 
Indicative Content
Fundamentals of feedback control systems
Single-input single-output control systems, discrete-time control system, performance measures, stability.
Control networks and networked control systems
Introduction to networked control systems, industrial control networks: wired and wireless network protocols including CAN, Profibus, Profinet, Ethernet TCP/IP, Modbus, WiFi (IEEE 802.11b), ISA100 Wireless protocol, WirelessHART, real-time requirements, challenges in networked control systems such as network delay, packet loss, channel capacity, energy constraints, impact of network delay, impact of packet loss.
Networked control architectures
Centralised, distributed and hierarchical control structures based on fog/cloud computing, multi-agent systems, Applications: industrial process control, energy and power systems, cooperative robotics.
Security and privacy in industrial control systems
Industrial control system security vulnerabilities and leakage of private information, social implications of security and privacy issues in industrial control systems, NIST Guide to ICS Security, GDPR.
Simulation
Use software packages and tools to create, simulate and evaluate wired/wireless networked control systems and distributed and hierarchical control systems in comparison to a traditional control system.
Project
Build and validate the plant model, select a suitable network and control structure for a given industrial application, implement distributed control system, evaluate real-time closed-loop performance and stability in the presence of network induced delays and packet dropouts.
Module Content & Assessment
Assessment Breakdown%
Coursework100.00%

Assessments

Coursework
Assessment Type Open-book Examination % of Total Mark 20
Timing Week 6 Learning Outcomes 1,2,4
Assessment Description
Lab-based assessment: implementation and evaluation of networked control system (centralised control setting)
Assessment Type Open-book Examination % of Total Mark 20
Timing Week 10 Learning Outcomes 3,4
Assessment Description
Lab-based assessment: implementation and evaluation of distributed control system
Assessment Type Open-book Examination % of Total Mark 10
Timing Week 12 Learning Outcomes 5
Assessment Description
Short paper: analyse the given industrial automation and control system cyber attack case study and provide recommended security and privacy controls
Assessment Type Project % of Total Mark 50
Timing Sem End Learning Outcomes 1,2,3,4,5
Assessment Description
Group report: demonstrate a complete understanding of the implementation and simulation of networked control systems. Provide detailed discussions of the results.
No End of Module Formal Examination
Reassessment Requirement
Coursework Only
This module is reassessed solely on the basis of re-submitted coursework. There is no repeat written examination.

The University reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecture Contact Short lecture followed by active learning in which students explore learning topic through simulation Every Week 2.00 2
Lab Contact Students work in groups on simulation to implement networked control systems, given industrial plant dynamics Every Week 2.00 2
Independent & Directed Learning (Non-contact) Non Contact Revision of lecture notes, preparation for assessment Every Week 3.00 3
Total Hours 7.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 4.00
Workload: Part Time
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecture Contact ~1/2 hour lecture followed by active learning in which students explore learning topic through simulation Every Week 1.00 1
Lab Contact Students work in groups on simulation to implement networked control systems, given industrial plant dynamics Every Week 2.00 2
Independent & Directed Learning (Non-contact) Non Contact Revision of lecture notes, preparation for assessment Every Week 4.00 4
Total Hours 7.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 3.00
 
Module Resources
Recommended Book Resources
  • Dimitrios Hristu-Varsakelis, William S. Levine. (2005), Handbook of Networked and Embedded Control Systems, Birkhäuser Boston, [ISBN: 9780817632397].
  • Magdi S. Mahmoud and Yuanqing Xia. (2019), Networked Control Systems : Cloud Control and Secure Control, Elsevier Science & Technology, [ISBN: 9780128163016].
Supplementary Book Resources
  • Sami M. Fadali and Antonio Visioli. (2013), Digital control engineering: analysis and design, 2nd. Academic Press, Elsevier, [ISBN: 9780123983244].
Recommended Article/Paper Resources
Supplementary Article/Paper Resources
  • R.A. Gupta and M.-Y. Chow. (2010), Networked control system: overview and research trends, IEEE Transactions on Industrial Electronics, 57(7), July 2010.
  • J.R. Moyne and D.M. Tilbury. (2007), The emergence of industrial control networks for manufacturing control, diagnostics, and safety data, Proceedings of the IEEE, 95(1), Jan. 2007.
  • International Society of Automation (ISA). (2020), Quick Start Guide: An Overview of ISA/IEC 62443 Standards Security of Industrial Automation and Control Systems, June 2020,
    https://gca.isa.org/hubfs/ISAGCA%20Quick %20Start%20Guide%20FINAL.pdf
Other Resources
 
Module Delivered in
Programme Code Programme Semester Delivery
CR_ESMPR_8 Bachelor of Engineering (Honours) in Smart Product Engineering 7 Mandatory