Course Coordinator:Sajeeb Saha (ssaha@usc.edu.au) School:School of Science, Technology and Engineering
UniSC Moreton Bay |
Blended learning | Most of your course is on campus but you may be able to do some components of this course online. |
Please go to usc.edu.au for up to date information on the
teaching sessions and campuses where this course is usually offered.
Control systems are used to attain increased productivity and better performance of a system. In this course, you gain an understanding of the expediency and application of control systems engineering. You will be introduced to the fundamental elements of control theory and its application in industrial control systems. You will use this knowledge of mathematical theories to develop advanced methods to design, model and analyze control theories and apply your modeling and analysis skills to design and solve the problem of control systems.
Activity | Hours | Beginning Week | Frequency |
Blended learning | |||
Learning materials – Asynchronous learning material | 1hr | Week 1 | 13 times |
Tutorial/Workshop 1 – On Campus workshop | 2hrs | Week 2 | 10 times |
Laboratory 1 – On campus labs | 2hrs | Week 3 | 5 times |
Seminar – On campus seminar | 1hr | Week 1 | Once Only |
• Control theory
• Open and closed loop control
• System modelling (Laplace transforms)
• PID control
• Root locus and Bode plots
• Design for steady state and stability
• Linear feedback systems and feedforward systems
• Advanced topics in control systems
200 Level (Developing)
12 units
Course Learning Outcomes On successful completion of this course, you should be able to... | Graduate Qualities Mapping Completing these tasks successfully will contribute to you becoming... | Professional Standard Mapping * Engineers Australia Stage 1 Professional Engineer Competency Standards | |
1 | Recognise and formulate system models and control system characteristics | Knowledgeable |
1.2, 1.3 |
2 | Use control system theories and understanding to identify and analyse dynamic system behaviour | Creative and critical thinker |
2.1, 2.3 |
3 | Apply knowledge and skills to design, implement and evaluate feedback control loops. | Empowered |
2.2
|
4 | Professionally communicate the investigation, analysis and interpretation of experimental data in continuous and discrete-time systems. | Engaged |
3.2, 3.3 |
5 | Work collaboratively in teams to design control system to meet specified requirements. | Empowered |
3.6
|
CODE | COMPETENCY |
Engineers Australia Stage 1 Professional Engineer Competency Standards | |
1.2 | Knowledge and Skill Base: Conceptual understanding of the mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline. |
1.3 | Knowledge and Skill Base: In-depth understanding of specialist bodies of knowledge within the engineering discipline. |
2.1 | Engineering Application Ability: Application of established engineering methods to complex engineering problem solving. |
2.2 | Engineering Application Ability: Fluent application of engineering techniques, tools and resources. |
2.3 | Engineering Application Ability: Application of systematic engineering synthesis and design processes. |
3.2 | Professional and Personal Attributes: Effective oral and written communication in professional and lay domains. |
3.3 | Professional and Personal Attributes: Creative, innovative and pro-active demeanour. |
3.6 | Professional and Personal Attributes: Effective team membership and team leadership. |
Refer to the UniSC Glossary of terms for definitions of “pre-requisites, co-requisites and anti-requisites”.
MTH201 and enrolled in Program SC404, SC405, SC410, SC411, SC425, AB101
Not applicable
Not applicable
Not applicable
Standard Grading (GRD)
High Distinction (HD), Distinction (DN), Credit (CR), Pass (PS), Fail (FL). |
Performance and feedback from the workshop tasks will demonstrate the level of proficiency and understanding of the course material.
Delivery mode | Task No. | Assessment Product | Individual or Group | Weighting % | What is the duration / length? | When should I submit? | Where should I submit it? |
All | 1 | Portfolio | Group | 20% | 400 words equivalent each 4 x 5% each |
Throughout teaching period (refer to Format) | Online Submission |
All | 2 | Oral and Written Piece | Group | 40% | The project report is to be written with a maximum page limit of 10 pages. Each group will deliver a 10 minutes oral presentation. |
Week 11 | Online Assignment Submission with plagiarism check |
All | 3 | Examination - Centrally Scheduled | Individual | 40% | 2 hours |
Exam Period | Exam Venue |
All - Assessment Task 1:Portfolio | |
Goal: | These tasks will build your skills in identifying solutions to practical experiments that use hardware and computer simulation in control systems of simple and intermediate complexity. You’ll also expand your skills in using common industrial formats to document your scientific conclusions |
Product: | Portfolio |
Format: | Control system-based laboratory works in the form of a 4 reports of 400 words equivalent each including figures, text, and diagrams. |
Criteria: |
|
All - Assessment Task 2:Mini Project and presentation | |
Goal: | These projects will develop your understanding of important theory and enable you to demonstrate your knowledge and skills in designing controls in electrical and electronics systems of intermediate complexity. |
Product: | Oral and Written Piece |
Format: | Project report of 1500 words equivalent and make an oral presentation of approximately 10 minutes. |
Criteria: |
|
All - Assessment Task 3:Final Exam | |
Goal: | The final exam will develop your ability to independently apply your skills and knowledge to solve familiar problem-based questions with confidence within a set time limit and without access to additional resources. |
Product: | Examination - Centrally Scheduled |
Format: | Centrally scheduled 2 hour closed book examination. |
Criteria: |
|
A 12-unit course will have total of 150 learning hours which will include directed study hours (including online if required), self-directed learning and completion of assessable tasks. Student workload is calculated at 12.5 learning hours per one unit.
Please note: Course information, including specific information of recommended readings, learning activities, resources, weekly readings, etc. are available on the course Canvas site– Please log in as soon as possible.
Please note that you need to have regular access to the resource(s) listed below. Resources may be required or recommended.
Required? | Author | Year | Title | Edition | Publisher |
Required | Norman S. Nise | 2017 | Control Systems Engineering | 8th Edition | Wiley |
Fully enclosed shoes must be worn in the engineering laboratory. If you do not have the correct shoes you will not be allowed to do the practical. You must also undertake the laboratory induction before you can undertake any practical.
Academic integrity is the ethical standard of university participation. It ensures that students graduate as a result of proving they are competent in their discipline. This is integral in maintaining the value of academic qualifications. Each industry has expectations and standards of the skills and knowledge within that discipline and these are reflected in assessment.
Academic integrity means that you do not engage in any activity that is considered to be academic fraud; including plagiarism, collusion or outsourcing any part of any assessment item to any other person. You are expected to be honest and ethical by completing all work yourself and indicating in your work which ideas and information were developed by you and which were taken from others. You cannot provide your assessment work to others. You are also expected to provide evidence of wide and critical reading, usually by using appropriate academic references.
In order to minimise incidents of academic fraud, this course may require that some of its assessment tasks, when submitted to Canvas, are electronically checked through Turnitin. This software allows for text comparisons to be made between your submitted assessment item and all other work to which Turnitin has access.
Eligibility for Supplementary Assessment Your eligibility for supplementary assessment in a course is dependent of the following conditions applying: The final mark is in the percentage range 47% to 49.4% The course is graded using the Standard Grading scale You have not failed an assessment task in the course due to academic misconduct.
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