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Advanced Motion Control (MCEN90017)
Graduate courseworkPoints: 12.5On Campus (Parkville)
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 1
A/Prof Chris Manzie
Overview
Availability | Semester 1 |
---|---|
Fees | Look up fees |
AIMS
This subject is intended to give students an overview of the present state-of-the-art in industrial motion control and the likely future trends in control design. Students will be exposed to and have practical experience in the design and implementation of advanced controllers for various motion control problems.
Advanced modelling and control topics will include system identification, modelling and compensation of friction and other disturbances, industrial servo loops, model-based and model-free controller design, and adaptive control. Applications will be drawn from industrial, medical and transport automation (eg robots, machine tools, production machines, laboratory automation, automotive and aerospace by-wire systems).
INDICATIVE CONTENT
Advanced modelling and control topics will include system identification, modelling and compensation of friction and other disturbances, industrial servo loops, model-based and model-free controller design, and adaptive control. Applications will be drawn from industrial, medical and transport automation (eg robots, machine tools, production machines, laboratory automation, automotive and aerospace by-wire systems).
Intended learning outcomes
INTENDED LEARNING OUTCOMES (ILO)
Upon completion of this subject, students should be able to -
- Apply control theory in complex automated systems drawn from industrial, medical and transport automation
- Design and implement advanced control systems using state-of-the-art development tools.
Generic skills
- Ability to apply knowledge of basic science and engineering fundamentals
- In-depth technical competence in at least one engineering discipline
- Ability to undertake problem identification, formulation and solutions
- Ability to use a systems approach to design and operational performance
- Capacity for independent critical thought, rational inquiry and self-directed learning
- Openness to new ideas and unconventional critiques of received wisdom
- Ability to function effectively as an individual and in multi-disciplinary and multi-cultural teams, with the capacity to be a leader or manager as well as an effective team member
- Ability to communicate effectively with the engineering team and with the community at large.
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
Code | Name | Teaching period | Credit Points |
---|---|---|---|
ELEN90064 | Advanced Control Systems | Semester 2 (On Campus - Parkville) |
12.5 |
Corequisites
None
Non-allowed subjects
None
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 3 November 2022
Assessment
Additional details
- Three assignments of up to 5000 words each due in weeks 4, 8 and 12 of the semester, approximately 15 to 20 hours of work each (50% total), assesses ILOs 1 and 2.
- One 2-hour end of semester examination (50%). Assesses ILOs 1 and 2.
Last updated: 3 November 2022
Dates & times
- Semester 1
Mode of delivery On Campus (Parkville) Contact hours 36 hours lectures, 36 hours of tutorials and workshops. Total time commitment 200 hours Teaching period 26 February 2018 to 27 May 2018 Last self-enrol date 9 March 2018 Census date 31 March 2018 Last date to withdraw without fail 4 May 2018 Assessment period ends 22 June 2018 Semester 1 contact information
A/Prof Chris Manzie
Time commitment details
200 hours
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
- Subject notes
INDICATIVE CONTENT
Advanced modelling and control topics will include system identification, modelling and compensation of friction and other disturbances, industrial servo loops, model-based and model-free controller design, and adaptive control. Applications will be drawn from industrial, medical and transport automation (eg robots, machine tools, production machines, laboratory automation, automotive and aerospace by-wire systems).
INDICATIVE KEY LEARNING RESOURCETextbook extracts, journal papers, lecture notes.
CAREERS / INDUSTRY LINKSSix to eight industry speakers
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Philosophy - Engineering Course Doctor of Philosophy - Engineering Course Ph.D.- Engineering Specialisation (formal) Mechanical Specialisation (formal) Mechatronics Specialisation (formal) Mechanical with Business - Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
Additional information for this subject
Subject coordinator approval required
Last updated: 3 November 2022