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INTR7033 - Modelling and Control

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Title:Modelling and Control
Long Title:Modelling and Control
Module Code:INTR7033
 
Duration:1 Semester
Credits: 5
NFQ Level:Intermediate
Field of Study: Interdisciplinary Engineering
Valid From: Semester 1 - 2020/21 ( September 2020 )
Module Delivered in 3 programme(s)
Module Coordinator: MARTIN HILL
Module Author: Niel Canty
Module Description: This module serves as an introduction to linear time-invariant control systems. The aim of this module is to equip students with the capability to design and analyse industrial control systems. An active learning approach is adopted where a typical lecture will commence with a short overview of the theory, after which students are encouraged to investigate concepts like feedback, on-off control, proportional control, proportional plus integral control through simulation and application to laboratory-scale equipment
Learning Outcomes
On successful completion of this module the learner will be able to:
LO1 Describe the dynamics of commonly encountered systems using first-order transfer functions, with or without time-delay.
LO2 Construct and validate a system model, which reflect the main system dynamics and create a Laplace Transfer Function for the process.
LO3 Analyse single input single output linear time-invariant control loops for performance and stability.
LO4 Design and implement a controller, based on a linear single-input, single-output model for a selected application by working effectively as part of a team.
LO5 Use computer-aided design tools to identify, model, analyse, and design feedback controllers and use ICT tools to communicate effectively the analysis of the modelling and control concepts.
LO6 Discuss, through the use of relevant examples and case-studies, the impact of control systems on people and the environment
Pre-requisite learning
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
 

Module Content & Assessment

Indicative Content
Theory
Develop different types of models like flow balance models and transfer function models. Learn feedback principles, block diagram algebra, first order dynamic behavior. Learn to design/tune different closed loop control strategies like proportional (P), proportional + integral (PI) and Proportional + Integral + Derivative (PID) control. Tuning rules like Ziegler Nichols and Cohen Coon will be investigated. Establish stability criteria, time domain performance metrics like overshoot, settling time and steady state error.
Simulation
Curve fitting and plotting data in MS Excel, define transfer functions in MATLAB and Simulink, saving/loading files, copying plots to MS Word, calculating closed-loop transfer functions, determine poles and zeros, obtain and analyse time-domain responses, perform a basic closed-loop performance evaluation, create closed-loop systems in Simulink, introduce simple non-linearities, transfer results between Simulink and MATLAB.
Project
Learn to use specific equipment and adhere to safety regulations, adopt and practice 'best practice' with regard to experimental procedures, practice documenting experimental results, learn to use data acquisition hardware and software, perform system identification experiment and obtain an open-loop response, determine appropriate model, assess adequacy of the model, design and implement proportional controller, design and implement PI controller, evaluate real-time performance as compared with results from simulation and account for discrepancies, document results.
Graduate Attributes
Writing skills will focus on learning to write using a formal report structure, including research methods, referencing, writing an abstract, creating professional diagrams. Teamwork will focus on communication within groups, documenting and sharing project work and evaluating team performance. Ethical considerations of control systems by examining case studies demonstrating benefits of control systems to humankind.
Assessment Breakdown%
Course Work100.00%
Course Work
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Open-book Examination Lab based assessment of system identification and modelling. This will involve the use of software like Excel and MATLAB to establish the parameters of the process to be modelled. 1,2,5 25.0 Week 6
Open-book Examination Lab-based assessment on controller design. This will involve the use of software like MATLAB to design, tune, simulate and test different closed loop control strategies like P, PI and PID. 3,5 25.0 Week 12
Project Group report (4,000 words) documenting ongoing results and findings from modelling and control of a process. Report to include indication of individual input, outline of learning achieved and an analysis of design options. Address ethical consideration in control system technology. 1,2,3,4,5 50.0 Sem End
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 institute reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture Short lecture followed by active learning in which students explore learning topic through simulation and experimentation 2.0 Every Week 2.00
Lab Students work in groups on practical application to model and control a specified system. Software like MS Excel, MATLAB/Simulink will be used to interact with the lab process. 2.0 Every Week 2.00
Independent & Directed Learning (Non-contact) Revision of lecture notes, preparation for assessment 3.0 Every Week 3.00
Total Hours 7.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 4.00
Workload: Part Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture ~1/2 hour lecture followed by active learning in which students explore learning topic through simulation 1.0 Every Week 1.00
Lab Students work in groups on practical application to model and control a specified system. Software like MS Excel, MATLAB/Simulink will be used to interact with the lab process. 2.0 Every Week 2.00
Independent & Directed Learning (Non-contact) Revision of lecture notes, preparation for assessment 4.0 Every Week 4.00
Total Hours 7.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 3.00
 

Module Resources

Recommended Book Resources
  • Karl Johan Åström, Richard M. Murray 2016, Feedback Systems: An Introduction for Scientists and Engineers, 2nd Ed., 1-6,9,11, Princeton University Press Available at http://www.cds.caltech.edu/~murray/amwiki/index.php/Second_Edition [ISBN: 9780691135762]
Supplementary Book Resources
  • G.F. Franklin, J.D. Powell and A. Emami-Naeini 2019, Feedback Control of Dynamics Systems, 8th Edition Ed., Pearson [ISBN: 9781292274522]
  • Richard C. Dorf, Robert H. Bishop 2017, Modern control systems, 13th edition Ed., Pearson [ISBN: 9781292152974]
This module does not have any article/paper resources
Other Resources
 

Module Delivered in

Programme Code Programme Semester Delivery
CR_EELES_8 Bachelor of Engineering (Honours) in Electronic Engineering Sept 2021 6 Mandatory
CR_EELEC_7 Bachelor of Engineering in Electrical Engineering 6 Mandatory
CR_EELXE_7 Bachelor of Engineering in Electronic Engineering 6 Mandatory

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