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.
|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|
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).
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.
|1. Online Quiz(zes)||0%|
|2. Written Assessment||10%|
|3. Practical Assessment||15%|
|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%).
All University policies are available on the Policy web site, however you may wish to directly view the following policies below.
This list is not an exhaustive list of all University policies. The full list of policies are available on the Policy web site .
Term 1 - 2022 : The overall satisfaction for students in the last offering of this course was 33.33% (`Agree` and `Strongly Agree` responses), based on a 100.00% response rate.
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.
On successful completion of this unit, you will be able to:
|Assessment Tasks||Learning Outcomes|
|1 - Online Quiz(zes)||•||•|
|2 - Written Assessment||•||•||•|
|3 - Practical Assessment||•||•||•||•|
|4 - Portfolio||•||•||•|
|5 - Online Test||•||•||•|
|Graduate Attributes||Learning Outcomes|
|1 - Knowledge||•||•||•||•||•||•|
|2 - Communication||•||•||•|
|3 - Cognitive, technical and creative skills||•||•||•||•||•|
|4 - Research||•||•||•|
|5 - Self-management||•|
|6 - Ethical and Professional Responsibility||•||•|
|7 - Leadership||•|
|Assessment Tasks||Graduate Attributes|