Course Title: Advanced Control Systems (PG)
Part A: Course Overview
Course Title: Advanced Control Systems (PG)
Credit Points: 12.00
Terms
Course Code |
Campus |
Career |
School |
Learning Mode |
Teaching Period(s) |
EEET1368 |
City Campus |
Postgraduate |
125H Electrical & Computer Engineering |
Face-to-Face |
Sem 1 2006, Sem 1 2007, Sem 1 2009, Sem 1 2010, Sem 1 2011, Sem 1 2012, Sem 1 2013, Sem 1 2014, Sem 1 2015, Sem 1 2016 |
EEET1368 |
City Campus |
Postgraduate |
172H School of Engineering |
Face-to-Face |
Sem 1 2017, Sem 1 2019, Sem 1 2020, Sem 1 2021, Sem 1 2022, Sem 1 2023, Sem 1 2024 |
Course Coordinator: Professor Liuping Wang
Course Coordinator Phone: +61 3 9925 2100
Course Coordinator Email: liuping.wang@rmit.edu.au
Course Coordinator Location: 10.8.08
Course Coordinator Availability: Email for appointment
Pre-requisite Courses and Assumed Knowledge and Capabilities
To successfully complete this course, you should be familiar with mathematical models of dynamics system, feedback control systems and mathematic transformation such as Laplace transform.
A basic knowledge of MATLAB programming is an advantage.
Course Description
This course introduces you to the theories and tools in advanced control systems. You will learn about the concept of controllers such as PID and pole-assignment controllers which are widely used in the process and manufacturing industries. The state-space design methods including state feedback and state observer are also introduced in the later part of this course.
Topics that are covered in this course include:
Section A: Design and Analysis for Single Input and Single Output Systems
Introduction to mathematical modelling and control systems; Understanding PID controller design and implementation issues; Understanding pole-assignment controller design methods; Understanding frequency response analysis.
Section B: State space design methods.
Control system design using state space models: Background to state space design methods. State feedback controller design. Observer design. State estimate feedback control system design.
Objectives/Learning Outcomes/Capability Development
This course develops the following Program Learning Outcomes:
1 High levels of technical competence in the field
2 Be able to apply problem solving approaches to work challenges and make decisions using sound engineering methodologies
On successful completion of this course, you will be able to:
- develop mathematical models and understand the mathematical relationships between the sensitivity functions and how they govern the fundamentals in control systems.
- design and fine tune PID controllers and understand the roles of P, I and D in feedback control
- design pole-assignment controller and the specific design procedures
- develop state-space models
- design state feedback controller and state observer
Overview of Learning Activities
The learning activities of this course include:
- Pre-recorded Lectures
- Attending Tutorials
- Use of myRMIT Studies to access online reading materials and Lecture Notes
- Attending computer and hardware simulation activities
- Completion of written assignments
Overview of Learning Resources
References and lecturer’s notes are available online.
Overview of Assessment
Laboratory Experiments, Assignments, Final Examination