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:
- 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
- Implement PID controllers
- 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