CQUniversity Unit Profile
ENEE20004 Digital Control Systems
Digital Control Systems
All details in this unit profile for ENEE20004 have been officially approved by CQUniversity and represent a learning partnership between the University and you (our student).
The information will not be changed unless absolutely necessary and any change will be clearly indicated by an approved correction included in the profile.
General Information

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

Career Level: Postgraduate
Unit Level: Level 9
Credit Points: 12
Student Contribution Band: 8
Fraction of Full-Time Student Load: 0.25

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 2 - 2019

Melbourne
Perth
Rockhampton

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.

Class and Assessment Overview

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

Bundaberg, Cairns, Emerald, Gladstone, Mackay, Rockhampton, Townsville
Adelaide, Brisbane, Melbourne, Perth, Sydney

Assessment Overview

1. Written Assessment
Weighting: 15%
2. Written Assessment
Weighting: 30%
3. Portfolio
Weighting: 35%
4. Practical Assessment
Weighting: 20%

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.

Previous Student Feedback

Feedback, Recommendations and Responses

Every unit is reviewed for enhancement each year. At the most recent review, the following staff and student feedback items were identified and recommendations were made.

Feedback from Unit evaluation

Feedback

The students appreciated the simplicity of Moodle navigation in this unit.

Recommendation

This good practice will be continued.

Feedback from Unit evaluation

Feedback

The students found the feedback given on the assessment work helped them to learn better.

Recommendation

This good practice will be continued.

Feedback from Unit coordinator

Feedback

Some of students in this unit do not have the Engineering knowledge background necessary for this unit.

Recommendation

A quiz type evaluation will be added early in the term to evaluate which students need help to boost their engineering knowledge acquired from the undergraduate study.

Feedback from Unit coordinator

Feedback

Some unit content need to be revisited in order to include more examples for students to practice.

Recommendation

The content will be revised accordingly.

Unit Learning Outcomes
On successful completion of this unit, you will be able to:
  1. Apply Z-transforms and Z Domain analysis of control systems through transformations
  2. Design and implement various digital filters
  3. Model, analyse stability and design control systems in discrete state space
  4. Apply advanced optimal control techniques in industrial control systems
  5. Design and implement digital control systems considering stakeholder requirements
  6. 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
  7. 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 Learning Outcomes, Assessment and Graduate Attributes
N/A Level
Introductory Level
Intermediate Level
Graduate Level
Professional Level
Advanced Level

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 and Resources

Textbooks

Prescribed

Digital Control

Edition: 1 (2007)
Authors: Kannan Moudgalya
Wiley
Chichester Chichester , Sussex , England
ISBN: 978-0-470-03144-5
Binding: Paperback

IT Resources

You will need access to the following IT resources:
  • CQUniversity Student Email
  • Internet
  • Unit Website (Moodle)
  • MATLAB and Simulink Suite Software
Referencing Style

All submissions for this unit must use the referencing style: Harvard (author-date)

For further information, see the Assessment Tasks.

Teaching Contacts
Mohammad Khyam Unit Coordinator
m.khyam@cqu.edu.au
Schedule
Week 1 Begin Date: 15 Jul 2019

Module/Topic

Modelling of Sampled Data Systems

Chapter

Chapter 1 and Chapter 2

Events and Submissions/Topic

Week 2 Begin Date: 22 Jul 2019

Module/Topic

Linear System

Chapter

Chapter 3

Events and Submissions/Topic

Week 3 Begin Date: 29 Jul 2019

Module/Topic

Z-Transform

Chapter

Chapter 4

Events and Submissions/Topic

Week 4 Begin Date: 05 Aug 2019

Module/Topic

Z-Transform

Chapter

Chapter 4

Events and Submissions/Topic

Week 5 Begin Date: 12 Aug 2019

Module/Topic

Frequency Domain Analysis

Chapter

Chapter 5

Events and Submissions/Topic

Vacation Week Begin Date: 19 Aug 2019

Module/Topic

Chapter

Events and Submissions/Topic

Week 6 Begin Date: 26 Aug 2019

Module/Topic

Transfer Function Based Controller Design - Structures and Specifications

Chapter

Chapter 7

Events and Submissions/Topic

Week 7 Begin Date: 02 Sep 2019

Module/Topic

Proportional, Integral, Derivative Controllers

Chapter

Chapter 8

Events and Submissions/Topic

Assignment 1 Due: Week 7 Friday (6 Sept 2019) 11:55 pm AEST
Week 8 Begin Date: 09 Sep 2019

Module/Topic

Pole Placement Controllers

Chapter

Chapter 9 and Chapter 10

Events and Submissions/Topic

Week 9 Begin Date: 16 Sep 2019

Module/Topic

Linear Quadratic Gaussian Control

Chapter

Chapter 13

Events and Submissions/Topic

Week 10 Begin Date: 23 Sep 2019

Module/Topic

State Space Techniques in Controller Design

Chapter

Chapter 14

Events and Submissions/Topic

Laboratory/Residential School and Lab Reports Due: Week 10 Friday (27 Sept 2019) 11:55 pm AEST
Week 11 Begin Date: 30 Sep 2019

Module/Topic

State Space Techniques in Controller Design

Chapter

Chapter 14

Events and Submissions/Topic

Team Project Due: Week 11 Friday (4 Oct 2019) 11:55 pm AEST
Week 12 Begin Date: 07 Oct 2019

Module/Topic

Identification

Chapter

Chapter 6

Events and Submissions/Topic

Assignment 2 Due: Week 12 Friday (11 Oct 2019) 11:55 pm AEST
Review/Exam Week Begin Date: 14 Oct 2019

Module/Topic

Chapter

Events and Submissions/Topic

Exam Week Begin Date: 21 Oct 2019

Module/Topic

Chapter

Events and Submissions/Topic

Term Specific Information

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

Assessment Tasks

1 Written Assessment

Assessment Title
Assignment 1

Task Description

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.


Assessment Due Date

Week 7 Friday (6 Sept 2019) 11:55 pm AEST

Make your individual submission to the link provided in Moodle site as a PDF/WORD file.


Return Date to Students

Week 9 Friday (20 Sept 2019)

Feedback will be provided through unit Moodle site.


Weighting
15%

Minimum mark or grade
50% of the marks allocated for this assignment

Assessment Criteria

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


Referencing Style

Submission
Online

Submission Instructions
Make your individual submission to the link provided in Moodle site as a PDF/WORD file.

Learning Outcomes Assessed
  • Apply Z-transforms and Z Domain analysis of control systems through transformations
  • Design and implement various digital filters


Graduate Attributes
  • Knowledge
  • Communication
  • Cognitive, technical and creative skills

2 Written Assessment

Assessment Title
Assignment 2

Task Description

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.


Assessment Due Date

Week 12 Friday (11 Oct 2019) 11:55 pm AEST

Make your individual submission to the link provided in Moodle site as a PDF/WORD file.


Return Date to Students

Exam Week Friday (25 Oct 2019)

Feedback will be provided through unit Moodle site.


Weighting
30%

Minimum mark or grade
50% of the marks allocated for this assignment

Assessment Criteria

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


Referencing Style

Submission
Online

Submission Instructions
Make your individual submission to the link provided in Moodle site as a PDF/WORD file.

Learning Outcomes Assessed
  • 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


Graduate Attributes
  • Knowledge
  • Communication
  • Cognitive, technical and creative skills

3 Portfolio

Assessment Title
Team Project

Task Description

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.


Assessment Due Date

Week 11 Friday (4 Oct 2019) 11:55 pm AEST

Make your team submission to the link provided in Moodle site as a PDF/WORD file.


Return Date to Students

Review/Exam Week Friday (18 Oct 2019)

Feedback will be provided through unit Moodle site.


Weighting
35%

Minimum mark or grade
50% of the marks allocated for this assignment

Assessment Criteria

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.


Referencing Style

Submission
Online

Submission Instructions
Make your team submission to the link provided in Moodle site as a PDF/WORD file.

Learning Outcomes Assessed
  • 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.


Graduate Attributes
  • Knowledge
  • Communication
  • Cognitive, technical and creative skills
  • Research
  • Self-management
  • Ethical and Professional Responsibility
  • Leadership

4 Practical Assessment

Assessment Title
Laboratory/Residential School and Lab Reports

Task Description

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.  


Assessment Due Date

Week 10 Friday (27 Sept 2019) 11:55 pm AEST

Make your team submission to the link provided in Moodle site as a PDF/WORD file.


Return Date to Students

Week 12 Friday (11 Oct 2019)

Feedback will be provided through unit Moodle site.


Weighting
20%

Minimum mark or grade
50% of the marks allocated for this unit

Assessment Criteria

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.


Referencing Style

Submission
Online

Submission Instructions
Make your team submission to the link provided in Moodle site as a PDF/WORD file.

Learning Outcomes Assessed
  • 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.


Graduate Attributes
  • Knowledge
  • Communication
  • Cognitive, technical and creative skills
  • Research
  • Self-management
  • Ethical and Professional Responsibility
  • Leadership

Academic Integrity Statement

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?