Overview
This unit will enable you to develop an advanced understanding of digital control techniques applied in industrial control systems. The unit will introduce you to Z-transforms and Z Domain analysis of control systems through transformations. You will design and implement digital filters. You will learn discrete state space modeling and analysis of control systems. The unit will also equip you with knowledge of optimal control techniques such as linear quadratic and Kalman filtering. You will also learn about important digital control implementation techniques such as controller anti-windup and bumpless transfer. You will be required to successfully complete a digital control systems design team project. Online students will be required to attend a compulsory residential school in order to complete the laboratory experiments. Prior knowledge of the basic concepts of electrical circuit analysis, signals and linear systems, and control systems is assumed.
Details
Pre-requisites or Co-requisites
There are no requisites for this unit.
Important note: Students enrolled in a subsequent unit who failed their pre-requisite unit, should drop the subsequent unit before the census date or within 10 working days of Fail grade notification. Students who do not drop the unit in this timeframe cannot later drop the unit without academic and financial liability. See details in the Assessment Policy and Procedure (Higher Education Coursework).
Offerings For Term 1 - 2019
Attendance Requirements
All on-campus students are expected to attend scheduled classes – in some units, these classes are identified as a mandatory (pass/fail) component and attendance is compulsory. International students, on a student visa, must maintain a full time study load and meet both attendance and academic progress requirements in each study period (satisfactory attendance for International students is defined as maintaining at least an 80% attendance record).
Residential Schools
This unit has a Compulsory Residential School for distance mode students and the details are:
Click here to see your Residential School Timetable.
Recommended Student Time Commitment
Each 12-credit Postgraduate unit at CQUniversity requires an overall time commitment of an average of 25 hours of study per week, making a total of 300 hours for the unit.
Class Timetable
Assessment Overview
Assessment Grading
This is a graded unit: your overall grade will be calculated from the marks or grades for each assessment task, based on the relative weightings shown in the table above. You must obtain an overall mark for the unit of at least 50%, or an overall grade of ‘pass’ in order to pass the unit. If any ‘pass/fail’ tasks are shown in the table above they must also be completed successfully (‘pass’ grade). You must also meet any minimum mark requirements specified for a particular assessment task, as detailed in the ‘assessment task’ section (note that in some instances, the minimum mark for a task may be greater than 50%). Consult the University’s Grades and Results Policy for more details of interim results and final grades.
All University policies are available on the CQUniversity Policy site.
You may wish to view these policies:
- Grades and Results Policy
- Assessment Policy and Procedure (Higher Education Coursework)
- Review of Grade Procedure
- Student Academic Integrity Policy and Procedure
- Monitoring Academic Progress (MAP) Policy and Procedure – Domestic Students
- Monitoring Academic Progress (MAP) Policy and Procedure – International Students
- Student Refund and Credit Balance Policy and Procedure
- Student Feedback – Compliments and Complaints Policy and Procedure
- Information and Communications Technology Acceptable Use Policy and Procedure
This list is not an exhaustive list of all University policies. The full list of University policies are available on the CQUniversity Policy site.
- Apply Z-transforms and Z Domain analysis of control systems through transformations
- Design and implement various digital filters
- Model, analyse stability and design control systems in discrete state space
- Apply advanced optimal control techniques in industrial control systems
- Design and implement digital control systems considering stakeholder requirements
- Document and communicate professional engineering information, including computer-based simulations and drawings, risk assessments and Work Health and Safety requirements using appropriate electrical engineering standards, terminology and symbols
- Scope, plan, manage and successfully complete engineering projects autonomously and in teams with responsible, ethical and professional attitude regarding the role of engineers.
Learning outcomes will be linked to Engineers Australia stage 1 competency standards for Professional Engineers.
Alignment of Assessment Tasks to Learning Outcomes
| Assessment Tasks | Learning Outcomes | ||||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | |
| 1 - Written Assessment - 15% | |||||||
| 2 - Written Assessment - 30% | |||||||
| 3 - Portfolio - 35% | |||||||
| 4 - Practical Assessment - 20% | |||||||
Alignment of Graduate Attributes to Learning Outcomes
| Graduate Attributes | Learning Outcomes | ||||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | |
| 1 - Knowledge | |||||||
| 2 - Communication | |||||||
| 3 - Cognitive, technical and creative skills | |||||||
| 4 - Research | |||||||
| 5 - Self-management | |||||||
| 6 - Ethical and Professional Responsibility | |||||||
| 7 - Leadership | |||||||
| 8 - Aboriginal and Torres Strait Islander Cultures | |||||||
Alignment of Assessment Tasks to Graduate Attributes
| Assessment Tasks | Graduate Attributes | |||||||
|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | |
| 1 - Written Assessment - 15% | ||||||||
| 2 - Written Assessment - 30% | ||||||||
| 3 - Portfolio - 35% | ||||||||
| 4 - Practical Assessment - 20% | ||||||||
Textbooks
Digital Control
Edition: 1 (2007)
Authors: Kannan Moudgalya
Wiley
Chichester Chichester , Sussex , England
ISBN: 978-0-470-03144-5
Binding: Paperback
Additional Textbook Information
Copies can be purchased from the CQUni Bookshop here: http://bookshop.cqu.edu.au (search on the Unit code)
IT Resources
- CQUniversity Student Email
- Internet
- Unit Website (Moodle)
- MATLAB and Simulink Suite Software
All submissions for this unit must use the referencing style: Harvard (author-date)
For further information, see the Assessment Tasks.
k.emami@cqu.edu.au
Module/Topic
Modelling of Sampled Data Systems
Chapter
Chapter 1 and Chapter 2
Events and Submissions/Topic
Module/Topic
Linear System
Chapter
Chapter 3
Events and Submissions/Topic
Module/Topic
Z-Transform
Chapter
Chapter 4
Events and Submissions/Topic
Module/Topic
Z-Transform
Chapter
Chapter 4
Events and Submissions/Topic
Module/Topic
Frequency Domain Analysis
Chapter
Chapter 5
Events and Submissions/Topic
Module/Topic
Chapter
Events and Submissions/Topic
Module/Topic
Transfer Function Based Controller Design - Structures and Specifications
Chapter
Chapter 7
Events and Submissions/Topic
Module/Topic
Proportional, Integral, Derivative Controllers
Chapter
Chapter 8
Events and Submissions/Topic
Module/Topic
Pole Placement Controllers
Chapter
Chapter 9 and Chapter 10
Events and Submissions/Topic
Module/Topic
Linear Quadratic Gaussian Control
Chapter
Chapter 13
Events and Submissions/Topic
Module/Topic
State Space Techniques in Controller Design
Chapter
Chapter 14
Events and Submissions/Topic
Module/Topic
State Space Techniques in Controller Design
Chapter
Chapter 14
Events and Submissions/Topic
Module/Topic
Identification
Chapter
Chapter 6
Events and Submissions/Topic
Module/Topic
Chapter
Events and Submissions/Topic
Module/Topic
Chapter
Events and Submissions/Topic
Students will require to use Matlab/SIMULINK for some of the assignments. Matlab/SIMULINK will be available in all student computers in the computing facilities within the university campuses. Any student wanting to use Matlab/SIMULINK off site on their personnel computers will have to purchase a student licence. The following components are strongly recommended for students purchasing student licenses:
- Basic package and toolboxes
- Matlab
- Simulink
- Communication System toolbox
- Control System toolbox
- DSP System toolbox
- Optimization toolbox
- Signal Processing toolbox
- Symbolic Math toolbox
- Simulink Control Design toolbox
- SimScape toolbox
- SimScape Power Systems toolbox
For electrical postgraduate students following toolboxes are also highly recommended.
- Fuzzy Logic toolbox
- Image Processing toolbox
- Neural Network toolbox
- System Identification toolbox
- Wavelet toolbox
1 Written Assessment
This assignment is designed to assess the learning outcomes 1 and 2 of this unit. The assignment will have 4 - 8 problems associated with first five weeks of learning in this unit. The students will work individually and make individual submissions.
Week 7 Friday (3 May 2019) 11:45 pm AEST
Make your individual submission to the link provided in Moodle site as a PDF/WORD file.
Week 9 Friday (17 May 2019)
Feedback will be provided through unit Moodle site.
Each question in this assignment will be assessed separately for the criterion accuracy and correct results and given a mark as specified in the assessment that will be published in the unit Moodle site. 10% of the total marks for this assignment are based on accuracy and correct results, including:
- Correct application of maths and arithmetic
- Answers clearly identified
- Correct results
In addition, the assignment as a whole will be assessed against the following criteria:
Evidence of correct procedures (50% of the total marks for the assignment)
- All necessary steps in analysis are present on correct order
- Clear presentation of mathematical and arithmetical working linking given details of the problem to the results
- obtained.
- Evidence of checking results (mathematical, graphical, logic-common sense)
Evidence of understanding of the topic (30% of the total marks for the assignment)
- Explanation of choices made in the analysis (why is procedure required, why this particular procedure)
- Interpretation of results, eg limitations, direction of vectors
Professional presentation (10% of the total marks for the assignment)
- The work (job) is clearly identified (problem, date, analyst)
- Clear statement of each problem and its details and requirements
- Logical layout of analysis
- Appropriate use of diagrams, clear diagrams
- Correct use of terminology, conventions
- Clear English in the explanation of procedure and interpretation of results.
- Referencing of authoritative sources of equations and data
- Apply Z-transforms and Z Domain analysis of control systems through transformations
- Design and implement various digital filters
- Knowledge
- Communication
- Cognitive, technical and creative skills
2 Written Assessment
This assignment is designed to assess the learning outcomes 1, 2, 3 and 4 of this unit. The assignment will have 3 - 5 design problems associated with the learning of all 12 weeks of this unit. The students will work individually and make individual submissions.
Week 12 Friday (7 June 2019) 11:45 pm AEST
Make your individual submission to the link provided in Moodle site as a PDF/WORD file.
Exam Week Friday (21 June 2019)
Feedback will be provided through unit Moodle site.
Each question in this assignment will be assessed separately for the criterion accuracy and correct results and given a mark as specified in the assessment that will be published in the unit Moodle site. 10% of the total marks for this assignment are based on accuracy and correct results, including:
- Correct application of maths and arithmetic
- Answers clearly identified
- Correct results
In addition, the assignment as a whole will be assessed against the following criteria:
Evidence of correct procedures (50% of the total marks for the assignment)
- All necessary steps in analysis are present on correct order
- Clear presentation of mathematical and arithmetical working linking given details of the problem to the results obtained.
- Evidence of checking results (mathematical, graphical, logic-common sense)
Evidence of understanding of the topic (30% of the total marks for the assignment)
- Explanation of choices made in the analysis (why is procedure required, why this particular procedure)
- Interpretation of results, eg limitations, direction of vectors
Professional presentation (10% of the total marks for the assignment)
- The work (job) is clearly identified (problem, date, analyst)
- Clear statement of each problem and its details and requirements
- Logical layout of analysis
- Appropriate use of diagrams, clear diagrams
- Correct use of terminology, conventions
- Clear English in the explanation of procedure and interpretation of results.
- Referencing of authoritative sources of equations and data
- Apply Z-transforms and Z Domain analysis of control systems through transformations
- Design and implement various digital filters
- Model, analyse stability and design control systems in discrete state space
- Apply advanced optimal control techniques in industrial control systems
- Knowledge
- Communication
- Cognitive, technical and creative skills
3 Portfolio
This compulsory assessment item is the project component of the unit. Students will carry out this in teams. Complete details of a digital control design project will be provided in unit Moodle site in the beginning of the term. Students will be carrying out the project in teams through out the term and submit a professionally done team report. The teams are supposed to attend a debriefing meeting in the mid-way of the project execution. Final reports that must be prepared as one submission per team are expected before the deadline specified below.
Week 11 Friday (31 May 2019) 11:45 pm AEST
Make your team submission to the link provided in Moodle site as a PDF/WORD file.
Review/Exam Week Friday (14 June 2019)
Feedback will be provided through unit Moodle site.
Marks for the project will be given marks out of 100 based on the quality of each project activity; i.e. Debriefing meeting (10%), project report (80%), Peer assessment (10%). The marking schemes for each of those will be published in the Moodle site.
- Model, analyse stability and design control systems in discrete state space
- Apply advanced optimal control techniques in industrial control systems
- Design and implement digital control systems considering stakeholder requirements
- Document and communicate professional engineering information, including computer-based simulations and drawings, risk assessments and Work Health and Safety requirements using appropriate electrical engineering standards, terminology and symbols
- Scope, plan, manage and successfully complete engineering projects autonomously and in teams with responsible, ethical and professional attitude regarding the role of engineers.
- Knowledge
- Communication
- Cognitive, technical and creative skills
- Research
- Self-management
- Ethical and Professional Responsibility
- Leadership
4 Practical Assessment
This compulsory assessment item covers the laboratory experiment component of the unit. On-campus students will carry out the experiments during laboratory experiment sessions scheduled each week (attendance is compulsory) while the distance students are supposed to attend a compulsory residential school. Students will be formed into teams and each team must submit separate professional technical laboratory reports on each experiment. The details of the experiments will be notified to students through the course Website. Please also refer to assessment criteria for more details.
For distance/mixed mode students a residential school will be organised during the term. The scheduled date for the residential school will be announced later in the unit website.
Week 10 Friday (24 May 2019) 11:45 pm AEST
Make your team submission to the link provided in Moodle site as a PDF/WORD file.
Week 12 Friday (7 June 2019)
Feedback will be provided through unit Moodle site.
Marking of the team reports will be done according to the following criteria.
- The accuracy and relevance of information
- Application of knowledge
- Language and grammar used in answering questions
- Proper referencing of sources of information
- Inclusion of all relevant Equations, images, data and tables, and the quality of presentation and layout.
- The marking scheme will be published in Moodle site together with Laboratory instruction sheets.
- Design and implement digital control systems considering stakeholder requirements
- Document and communicate professional engineering information, including computer-based simulations and drawings, risk assessments and Work Health and Safety requirements using appropriate electrical engineering standards, terminology and symbols
- Scope, plan, manage and successfully complete engineering projects autonomously and in teams with responsible, ethical and professional attitude regarding the role of engineers.
- Knowledge
- Communication
- Cognitive, technical and creative skills
- Research
- Self-management
- Ethical and Professional Responsibility
- Leadership
As a CQUniversity student you are expected to act honestly in all aspects of your academic work.
Any assessable work undertaken or submitted for review or assessment must be your own work. Assessable work is any type of work you do to meet the assessment requirements in the unit, including draft work submitted for review and feedback and final work to be assessed.
When you use the ideas, words or data of others in your assessment, you must thoroughly and clearly acknowledge the source of this information by using the correct referencing style for your unit. Using others’ work without proper acknowledgement may be considered a form of intellectual dishonesty.
Participating honestly, respectfully, responsibly, and fairly in your university study ensures the CQUniversity qualification you earn will be valued as a true indication of your individual academic achievement and will continue to receive the respect and recognition it deserves.
As a student, you are responsible for reading and following CQUniversity’s policies, including the Student Academic Integrity Policy and Procedure. This policy sets out CQUniversity’s expectations of you to act with integrity, examples of academic integrity breaches to avoid, the processes used to address alleged breaches of academic integrity, and potential penalties.
What is a breach of academic integrity?
A breach of academic integrity includes but is not limited to plagiarism, self-plagiarism, collusion, cheating, contract cheating, and academic misconduct. The Student Academic Integrity Policy and Procedure defines what these terms mean and gives examples.
Why is academic integrity important?
A breach of academic integrity may result in one or more penalties, including suspension or even expulsion from the University. It can also have negative implications for student visas and future enrolment at CQUniversity or elsewhere. Students who engage in contract cheating also risk being blackmailed by contract cheating services.
Where can I get assistance?
For academic advice and guidance, the Academic Learning Centre (ALC) can support you in becoming confident in completing assessments with integrity and of high standard.
What can you do to act with integrity?
