Credit points: 15
This subject presents both the theory of control systems, and their application in an industrial engineering context. An understanding of control systems is an essential tool forthe analysis and design of physical systems. Students first study analytical control systems skills including Fourier analysis, linear systems z-transform, Laplace transform, stability analysis, state-space techniques and frequency response methods. Students will then investigate and apply these skills to a range of real industry related problems using industrial based controllers such asPLC#s, DLC#s and embedded control systems.
SchoolSchool Engineering&Mathematical Sciences
Subject Co-ordinatorBernard Xu
Available to Study Abroad StudentsYes
Subject year levelYear Level 3 - UG
Prerequisites ELE1IEL and MAT2VCA
Incompatible subjects ELE3SPC
|Resource Type||Title||Resource Requirement||Author and Year||Publisher|
|Readings||Modern control systems||Prescribed||Dorf, RC and Bishop, RH 2011||12TH EDN, PRENTICE HALL|
Graduate capabilities & intended learning outcomes
01. Apply the necessary analytical tools to analyse control systems using Fourier analysis, linear systems z-transform, Laplace transform, stability analysis, state-space techniques and frequency response methods.
- Lectures introduce the various analytical and the knowledge is practiced in tutorials and applied in laboratories and assignments.
02. Design control systems using Programmable Logic Controllers to address real-world control problems.
- Control system design is taught in the lectures and the knowledge is practiced in tutorials and applied in laboratories and assignments.
03. Write Matlab code to systematically analyse, design and tune linear control systems.
- Examples of Matlab code are provided in the lectures and the knowledge is applied in laboratories and assignments.
04. Write clear, concise and well-structured laboratory/assignment reports, focusing on problem solving techniques used to solve real industry related problems.
- Detailed examples of problem solving techniques are discussed in lectures and the knowledge is practiced in tutorials and applied in laboratories and assignments.
- Related graduate capabilities and elements:
- Literacies and Communication Skills (Writing,Quantitative Literacy)
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Melbourne, 2017, Semester 1, Blended
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorBernard Xu
Two 1.0 hours lecture per week from week 10 to week 22 and delivered via blended.
One 1.0 hours tutorial per week from week 11 to week 22 and delivered via blended.
One 3.0 hours laboratory class per week on weekdays during the day from week 10 to week 22 and delivered via blended.
"3 hours problem solving in laboratory"
|4 Assignments (2-3 Pages each, equivalent to 1,000 words)||20||01, 02, 03, 04|
|Laboratory demonstrations (equivalent to 1,000 words)||Students demonstrate completed tasks to demonstrators across ten 2-hour laboratories.||20||01, 02, 03, 04|
|One 2-hour written examination (equivalent to 2,000 words||Hurdle requirement: To pass the subject, a pass in the examination is mandatory.||60||01, 02, 03|