Course Title: Advanced Control Systems

Part A: Course Overview

Course Title: Advanced Control Systems

Credit Points: 12.00

Terms

Course Code	Campus	Career	School	Learning Mode	Teaching Period(s)
EEET2100	City Campus	Undergraduate	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
EEET2100	City Campus	Undergraduate	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
EEET2206	SHAPE, VTC	Undergraduate	125H Electrical & Computer Engineering	Face-to-Face	Offsh2 14, Offsh1 15, Offsh1 16
EEET2206	SHAPE, VTC	Undergraduate	172H School of Engineering	Face-to-Face	Offsh1 17

Flexible Terms

Course Code	Campus	Career	School	Learning Mode	Teaching Period(s)
EEET2206	SHAPE, VTC	Undergraduate	172H School of Engineering	Face-to-Face	OFFSe12018 (VE18)
EEET2206	SHAPE, VTC	Undergraduate	172H School of Engineering	Face-to-Face	OFFJan2019 (VE20), OFFJan2019 (VE21)
EEET2206	SHAPE, VTC	Undergraduate	172H School of Engineering	Face-to-Face	OFFJan2020 (VE22), OFFJan2020 (All)
EEET2206	SHAPE, VTC	Undergraduate	172H School of Engineering	Face-to-Face	OFFJan2021 (VE25)
EEET2206	SHAPE, VTC	Undergraduate	172H School of Engineering	Face-to-Face	OFFJan2022 (All)
EEET2206	SHAPE, VTC	Undergraduate	172H School of Engineering	Face-to-Face	OFFJan2023 (All)
EEET2206	SHAPE, VTC	Undergraduate	172H School of Engineering	Face-to-Face	OFFJan2024 (All)

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

Pre-requisite Courses and Assumed Knowledge and Capabilities

To successfully complete this course, you need to complete EEET2109 Control Systems or an equivalent 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:  

Introduction to mathematical modelling and control systems; Understanding PID controller design and implementation issues; Understanding pole-assignment controller design methods; Understanding frequency response analysis, step response testing. 

Please note that if you take this course for a bachelor honours program, your overall mark for the course will be one of the course marks used to calculate the weighted average mark (WAM) that will determine your award level. This applies to students who commence enrolment in a bachelor honours program from 1 January 2016 onwards. See the WAM information webpage for more information.

 

Objectives/Learning Outcomes/Capability Development

This course contributes to the following program learning outcomes for students who commenced their program prior to 2023:

1.3 In-depth understanding of specialist bodies of knowledge within the engineering discipline.

2.1 Application of established engineering methods to complex engineering problem solving.

2.2 Fluent application of engineering techniques, tools and resources.

This course contributes to the following program learning outcomes for students who commenced their program in 2023:

• PLO1: Demonstrate an in-depth understanding and knowledge of fundamental engineering and scientific theories, principles and concepts and apply advanced technical knowledge in specialist domain of engineering. 
• PLO2: Utilise mathematics and engineering fundamentals, software, tools and techniques to design engineering systems for complex engineering challenges.    
• PLO4: Apply systematic problem solving, design methods and information and project management to propose and implement creative and sustainable solutions with intellectual independence and cultural sensitivity. 

On successful completion of this course, you will be able to:

1. Develop mathematical models and understand the mathematical relationships between the sensitivity functions and how they govern the fundamentals in control systems
2. Design and fine tune PID controllers and understand the roles of P, I and D in feedback control
3. Implement PID controllers
4. Design pole-assignment controller and the specific design procedures

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