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EE4600 - Automatic Control 2
Credit points: |
3 |
Year: |
2023 |
Student Contribution Band: |
Band
2 |
Administered by: |
College of Science and Engineering |
Section A - Sampled-Data Systems: Uses classical (frequency-domain transfer
function) techniques in the analysis and design of digital controllers for the control
of analogue plants, termed sample data systems. Plants and controllers are modelled
using the z-transform which leads to rational transfer functions allowing for the
usual pole/zero terminology and system performance specification and analysis. Section
B - Modern Controller Design: Uses modern (time-domain state space) techniques
in the analysis and design of controllers for continuous time plants. This section
starts with developing state models of systems from both physical properties and transfer
functions. It then investigates techniques for the design of controllers for systems
that are modelled in state-space form such as the pole-placement technique. Associated
with this are the concepts of controllability, observability and state feedback controller
design
Learning Outcomes
- demonstrate a competence in assessing and improving the dynamic performance of sample
data systems using classical and modern control system analysis and design techniques;
- design a control system applying PLCs in typical industrial manufacturing systems.
Subject Assessment
- Written > Examination (centrally administered) - (60%) - Individual
- Written > Test/Quiz 1 - (20%) - Individual
- Performance/Practice/Product > Practical assessment/practical skills demonstration - (20%) - Individual.
Prerequisites: |
EE3600 OR ADMITTANCE INTO MASTER OF ENGINEERING (PROF) |
Availabilities
|
Cairns,
Study Period 2,
Internal
|
Census Date 24-Aug-2023 |
Coordinator: |
Dr Shou-Han Zhou |
Lecturer:
|
Dr Eric Wang. |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 39 hours lectures
- 13 hours tutorials
- 9 hours workshops
- assessment and self-directed study
|
|
|
Townsville,
Study Period 2,
Internal
|
Census Date 24-Aug-2023 |
Coord/Lect: |
Dr Shou-Han Zhou. |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 39 hours lectures
- 13 hours tutorials
- 9 hours workshops
- assessment and self-directed study
|
|
|
Note:
Minor variations might occur due to the continuous Subject quality improvement process,
and in case
of minor variation(s) in assessment details, the Subject Outline represents the latest
official information.