DIGITAL CONTROL THEORY

ELE4DCT

2018

Credit points: 15

Subject outline

In this subject students will focus on input-output and state-space models of discrete-time systems, time response and stability analysis of sampled-data control systems, digital controller design and linear-quadratic optimal control.

SchoolSchool Engineering&Mathematical Sciences

Credit points15

Subject Co-ordinatorSong Wang

Available to Study Abroad StudentsYes

Subject year levelYear Level 4 - UG/Hons/1st Yr PG

Exchange StudentsYes

Subject particulars

Subject rules

Prerequisites ELE3CON or ELE3SPC or Admission into SMELE

Co-requisitesN/A

Incompatible subjectsN/A

Equivalent subjectsN/A

Special conditionsN/A

Readings

Resource TypeTitleResource RequirementAuthor and YearPublisher
ReadingsDigital control system analysis and designRecommendedPhillips, C.L. and Nagle, H.T.3RD EDN, PRENTICE-HALL, 1995.

Graduate capabilities & intended learning outcomes

01. Describe the fundamentals of digital control

Activities:
Lectures 1 and 2 are on the introduction of digital control and its associated mathematical tool.
Related graduate capabilities and elements:
Critical Thinking
Quantitative Literacy/ Numeracy
Discipline-specific GCs
Inquiry/ Research

02. Analyse the properties, characteristics and stability of sampled-data systems

Activities:
Lectures 3, 4 are on digital control system modelling, sampling and data hold. Lectures 5, 6 are on the analysis of open-loop and closed-loop sampled-data systems. Lectures 7-9 are on system time-response characteristics and stability analysis. Labs 1 and 2 and all assignments have tasks about system analysis.
Related graduate capabilities and elements:
Creative Problem-solving
Quantitative Literacy/ Numeracy
Inquiry/ Research
Writing
Critical Thinking

03. Use control design software (Matlab Control System Toolbox) to conduct digital controller design

Activities:
Lectures 10-12 are on digital controller design. All labs focus on digital control system modelling, analysis and design, where students learn to use Matlab tools to implement sampled-data systems or design a digital controller.
Related graduate capabilities and elements:
Critical Thinking
Creative Problem-solving
Writing
Discipline-specific GCs
Inquiry/ Research
Quantitative Literacy/ Numeracy

Subject options

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Start date between: and    Key dates

Melbourne, 2018, Semester 2, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorSong Wang

Class requirements

Laboratory Class Week: 31 - 43
One 2.0 hours laboratory class per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
"Max class size increased to 50"

Lecture Week: 31 - 43
One 2.0 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
"Max class size increased to 50"

Assessments

Assessment elementComments% ILO*
Laboratory work (totalling 1,000-words)20 02, 03
one 2-hour examinationHurdle requirement: To pass the subject, a minimum 40% mark in the examination is mandatory.60 01, 02
Assignments (totalling 1,000-words)20 01, 02