ENEE20002 - Advanced Electrical Machines and Drives

Showing: 2026 HE Term 1
General Information

Unit Synopsis

The objective of this unit is to introduce you to advanced electrical machines, drives and their control. You will learn about dynamic modelling of various types of DC and AC electrical machines. The unit will also introduce you to space vector theory associated with dynamic modelling of AC electrical machines. You will also learn about DC and AC motor drives. The unit will enable you to apply vector control fundamentals in electrical machine control. You will also learn some advanced topics such as speed-sensorless control of electrical machines. You will be required to successfully complete an electrical machines and drives 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 fundamental concepts of electrical circuit analysis and electrical power engineering 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
ENEE14007 Electrical Machines and Drives Applications is an Anti-Requisite 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).

Class Timetable View Unit Timetable
Residential School No Residential School

Unit Availabilities from Term 1 - 2026

Term 1 - 2026 Profile
Melbourne Online 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. Practical Assessment 15%
4. Portfolio 30%
5. Online Test 45%

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

Previous Feedback

Term 1 - 2025 : The overall satisfaction for students in the last offering of this course was 100.00% (`Agree` and `Strongly Agree` responses), based on a 19.23% 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: SUTE
Feedback:
 Students appreciated the teaching style and support given by teaching staff.

Recommendation:
 Good practice should be continued.

Action Taken:
 Continued good practice for student success.
Source: SUTE
Feedback:
 Students requested improvement in video resources.

Recommendation:
 Improved video resources should be provided for better student understanding.

Action Taken:
 Improved video resources were provided for the student's better understanding.
Source: SUTE
Feedback:
 Students are happy with the teaching style and support given by the staff.

Recommendation:
 This practice should be continued.

Action Taken:
 In Progress
Source: SUTE and student consultation
Feedback:
 Students appreciated the quality of the provided learning resources.

Recommendation:
 Same learning resources should be used for learning and teaching purposes.

Action Taken:
 In Progress
Unit Learning Outcomes

On successful completion of this unit, you will be able to:

  1. Evaluate various types of DC and AC electrical machines using dynamic modelling principles
  2. Model and control AC electrical machines using space vector theory
  3. Apply vector control fundamentals in advanced electrical machine control
  4. Analyse and design DC and AC motor drives considering stakeholder requirements
  5. Document and communicate professional engineering information, including computer-based simulations and drawings using appropriate electrical engineering standards, terminology, and symbols
  6. Scope, plan, manage and successfully complete engineering projects autonomously and in teams with a 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
1.6 Understanding of the scope, principles, norms, accountabilities and bounds of sustainable engineering practice in the specific discipline. (LO: 4I )
2.3 Application of systematic engineering synthesis and design processes. (LO: 2I 4I )
3.1 Ethical conduct and professional accountability. (LO: 6I )
3.3 Creative, innovative and pro-active demeanour. (LO: 2I 4I )
3.5 Orderly management of self, and professional conduct. (LO: 6I )
Advanced
1.1 Comprehensive, theory-based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline. (LO: 1A 2A )
1.2 Conceptual understanding of the mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline. (LO: 1A 2A 3A )
1.3 In-depth understanding of specialist bodies of knowledge within the engineering discipline. (LO: 1A 2A 3A 4A )
1.4 Discernment of knowledge development and research directions within the engineering discipline. (LO: 1A 2A 4A )
1.5 Knowledge of engineering design practice and contextual factors impacting the engineering discipline. (LO: 1I 2I 4A )
2.1 Application of established engineering methods to complex engineering problem solving. (LO: 2A 3A 4A )
2.2 Fluent application of engineering techniques, tools and resources. (LO: 1A 2I 3I 4A 5A )
2.4 Application of systematic approaches to the conduct and management of engineering projects. (LO: 4A 5A 6A )
3.2 Effective oral and written communication in professional and lay domains. (LO: 4I 5A )
3.4 Professional use and management of information. (LO: 4I 5A 6A )
3.6 Effective team membership and team leadership. (LO: 6A )

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