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ENEE20002 - Advanced Electrical Machines and Drives

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 - 2022

Term 1 - 2022 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

This information will not be available until 8 weeks before term.
To see assessment details from an earlier availability, please search via a previous term.

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 - 2021 : The overall satisfaction for students in the last offering of this course was 3.7 (on a 5 point Likert scale), based on a 87.5% 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: Student survey
Feedback
Students appreciated the in-class explanations given together with software supported informative tutorials.
Recommendation
The good practice will be continued.
Action Taken
This approach was continued.
Source: Student survey
Feedback
Students appreciated the advanced topics related to machines and drives together with the help of software tools in labs.
Recommendation
The good practice will be continued.
Action Taken
This approach was continued.
Source: Self-identified by the Unit Coordinator as a necessary improvement
Feedback
More examples and demonstrations during the lectures and consultation sessions.
Recommendation
The students will be better supported through more demonstrations during the lectures and consultation sessions through simulations etc.
Action Taken
This approach was continued.
Source: Self-identified by the Unit Coordinator as a necessary improvement
Feedback
Support for weaker students who require assistance.
Recommendation
A mechanism is already in place for this sort of support and it will further be enhanced.
Action Taken
Done, e.g. extra video class was scheduled after week 12 for revision purposes.
Source: Verbal feedback during final review session.
Feedback
Students were appreciative of the clear explanations to break down complex topics into manageable chunks.
Recommendation
Continue to build on the development of learning resources to facilitate this.
Action Taken
Nil.
Source: Unit Evaluation.
Feedback
Students were of the opinion that assessment feedback was prompt and helped them to learn.
Recommendation
Prioritise assessment marking, first-in-first-out approach and give enough feedback for them to learn from mistakes.
Action Taken
Nil.
Source: Verbal feedback during final review session.
Feedback
Students enjoyed learning about real-world analysis and the design of complex drives for advanced machines.
Recommendation
Continue to build on the development of learning resources to facilitate this.
Action Taken
Nil.
Unit learning Outcomes
This information will not be available until 8 weeks before term.
To see Learning Outcomes from an earlier availability, please search via a previous term.