ENEE20004 - Digital Control Systems

General Information

Unit Synopsis

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

Level Postgraduate
Unit Level 9
Credit Points 12
Student Contribution Band SCA Band 2
Fraction of Full-Time Student Load 0.25
Pre-requisites or Co-requisites There are no pre-requisites for the 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).

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Residential School Compulsory Residential School
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Unit Availabilities from Term 1 - 2024

Term 1 - 2024 Profile
Melbourne
Mixed Mode
Rockhampton
Term 1 - 2025 Profile
Melbourne
Mixed Mode
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).

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.

Assessment Tasks

Assessment Task Weighting
1. Online Quiz(zes) 0%
2. Written Assessment 10%
3. Portfolio 30%
4. Practical Assessment 20%
5. Online Test 40%

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

Past Exams

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Previous Feedback

Term 1 - 2023 : The overall satisfaction for students in the last offering of this course was 60.00% (`Agree` and `Strongly Agree` responses), based on a 55.56% response rate.

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.

Source: Unit Evaluation
Feedback
Students appreciated unit coordinator effort in this unit.
Recommendation
This good practice should be maintained.
Action Taken
In Progress
Source: In Class Feedback
Feedback
Students appreciated the level of engagement during lab activities of this unit.
Recommendation
This good practice should be maintained.
Action Taken
In Progress
Source: Unit Evaluation
Feedback
Students did not understand requirements of the team project and its relevance to their degree.
Recommendation
In future offering, a separate document should be provided in addition to the project description. This document should provide further explanation on project tasks with appropriate scaffolding.
Action Taken
In Progress
Source: Unit Evaluation
Feedback
Students requested for more detailed feedback on their assessment markings.
Recommendation
In future offering, detailed and itemised feedback should be given on marking of students' assessments.
Action Taken
In Progress
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.

The Learning Outcomes for this unit are linked with the Engineers Australia Stage 1 Competency Standards for Professional Engineers in the areas of 1. Knowledge and Skill Base, 2. Engineering Application Ability and 3. Professional and Personal Attributes at the following levels:
Intermediate
1.1 Comprehensive, theory-based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline. (LO: 1I 2I 3I )
1.4 Discernment of knowledge development and research directions within the engineering discipline. (LO: 1I 2I 3I 4I 5I )
2.3 Application of systematic engineering synthesis and design processes. (LO: 2I 3I 4I 5I )
3.2 Effective oral and written communication in professional and lay domains. (LO: 6I 7I )
3.3 Creative, innovative and pro-active demeanour. (LO: 2I 4I 5I )
3.5 Orderly management of self, and professional conduct. (LO: 7I )
Advanced
1.2 Conceptual understanding of the mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline. (LO: 1A 2I 3I 4A 5A )
1.3 In-depth understanding of specialist bodies of knowledge within the engineering discipline. (LO: 1A 2A 3N 4A 5A )
1.5 Knowledge of engineering design practice and contextual factors impacting the engineering discipline. (LO: 2I 3N 4A 5A )
1.6 Understanding of the scope, principles, norms, accountabilities and bounds of sustainable engineering practice in the specific discipline. (LO: 3N 4A 5I )
2.1 Application of established engineering methods to complex engineering problem solving. (LO: 1N 2I 3I 4A 5A )
2.2 Fluent application of engineering techniques, tools and resources. (LO: 1N 2A 3I 4A 5A 6A )
2.4 Application of systematic approaches to the conduct and management of engineering projects. (LO: 2A 3I 4A 5I 6I 7A )
3.1 Ethical conduct and professional accountability. (LO: 7A )
3.4 Professional use and management of information. (LO: 2I 4I 5I 6A 7A )
3.6 Effective team membership and team leadership. (LO: 4I 5A 7A )

Note: LO refers to the Learning Outcome number(s) which link to the competency and the levels: N – Introductory, I – Intermediate and A - Advanced.
Refer to the Engineering Postgraduate Units Moodle site for further information on the Engineers Australia's Stage 1 Competency Standard for Professional Engineers and course level mapping information

Alignment of Assessment Tasks to Learning Outcomes
Assessment Tasks Learning Outcomes
1 2 3 4 5 6 7
1 - Online Quiz(zes) •
2 - Written Assessment • •
3 - Portfolio • • • • •
4 - Practical Assessment • • •
5 - Online Test • • •
Alignment of Graduate Attributes to Learning Outcomes
• Professional Level
• Advanced Level
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 • •
Alignment of Assessment Tasks to Graduate Attributes
• Professional Level
• Advanced Level
Assessment Tasks Graduate Attributes
1 2 3 4 5 6 7 8