Course Title: Control Systems

Part A: Course Overview

Course Title: Control Systems

Credit Points: 12.00

Terms

Course Code	Campus	Career	School	Learning Mode	Teaching Period(s)
EEET2109	City Campus	Undergraduate	125H Electrical & Computer Engineering	Face-to-Face	Sem 2 2006, Sem 2 2007, Sem 2 2008, Sem 2 2009, Sem 2 2010, Sem 2 2011, Sem 2 2012, Sem 2 2013, Sem 2 2014, Sem 2 2015, Sem 1 2016, Sem 2 2016
EEET2109	City Campus	Undergraduate	172H School of Engineering	Face-to-Face	Sem 2 2017, Sem 2 2018, Sem 2 2019, Sem 2 2020, Sem 2 2021, Sem 2 2022, Sem 2 2023
EEET2197	SHAPE, VTC	Undergraduate	125H Electrical & Computer Engineering	Face-to-Face	Offsh 3 11, Offsh1 14, Offsh2 14, Offsh3 16
EEET2506	RMIT University Vietnam	Undergraduate	172H School of Engineering	Face-to-Face	Viet3 2017, Viet3 2018, Viet1 2019, Viet1 2020, Viet2 2020, Viet1 2021, Viet3 2022, Viet1 2023, Viet3 2023, Viet1 2024

Flexible Terms

Course Code	Campus	Career	School	Learning Mode	Teaching Period(s)
EEET2197	SHAPE, VTC	Undergraduate	172H School of Engineering	Face-to-Face	OFFSe22017 (VE18)
EEET2197	SHAPE, VTC	Undergraduate	172H School of Engineering	Face-to-Face	OFFSep2018 (VE21)
EEET2197	SHAPE, VTC	Undergraduate	172H School of Engineering	Face-to-Face	OFFSep2020 (All)
EEET2197	SHAPE, VTC	Undergraduate	172H School of Engineering	Face-to-Face	OFFSep2021 (VE27)
EEET2197	SHAPE, VTC	Undergraduate	172H School of Engineering	Face-to-Face	OFFSep2022 (VE29)

Course Coordinator: Dr Manoj Datta

Course Coordinator Phone: +61 3 9925 2105

Course Coordinator Email: manoj.datta@rmit.edu.au

Course Coordinator Location: Building 10, Level 8, Room 10 (City Campus)

Course Coordinator Availability: prior appointment by email or school reception (Blg. 10 Level 09)

Pre-requisite Courses and Assumed Knowledge and Capabilities

This is a 3rd Year level course of fundamental importance to several engineering disciplines.

To enrol in this course, you are required to have successfully completed the course MATH2161 Mathematics for ECE, an equivalent course or provide evidence of equivalent capabilities.

You are expected to be familiar with linear differential equation models of simple electrical circuits and systems (as covered in Year 1 and Year 2 courses, EEET2249 Circuit Theory and EEET1316 Electrical Systems).

You should have the capability to solve simple linear differential equations by applying Laplace Transform techniques.

Familiarity with the use of MATLAB for solving general engineering problems (as covered in the Year 1 course EEET2248 Engineering Methods) will be an advantage.

Course Description

This subject will introduce you to the principles and practice of feedback control systems, and outlines their role in modern society. You will learn about dynamic system modelling and controller synthesis as two key elements in the development of a modern control system, and the subject will emphasise the usage of transform theory to facilitate both of these elements. This subject will also introduce techniques for the practical implementation of the synthesised controller.     

Topics that are covered in this subject include: introduction to feedback, system modelling using Laplace transform and state space representations, non-linear system models, SISO control, prototype controllers based on proportional + integral + derivative elements, root locus techniques, Nyquist and Bode techniques, compensation strategies, feed-forward and cascaded loops, and practical realisation issues.

Please note that if you take this course for a bachelor honours program, your overall mark in this course will be one of the course marks that will be 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 web page for more information (www1.rmit.edu.au/browse;ID=eyj5c0mo77631).

Objectives/Learning Outcomes/Capability Development

At undergraduate level this course contributes to the following Program Learning Outcomes for students who commenced their program prior to 2023:

1.1 Comprehensive, theory based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline.

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.

2.3 Application of systematic engineering synthesis and design processes.

3.2 Effective oral and written communication in professional and lay domains.

At undergraduate level 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. 

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

1. Apply Laplace transform and state space techniques to model dynamic systems, and convert between these formulations
2. Analytically quantify the time and frequency domain behaviour of dynamic systems
3. Specify steady state control system requirements, and select prototype controller structures to achieve these requirements
4. Formulate dynamic feedback controller design specifications in the frequency domain
5. Synthesise feedback controllers using root locus, Nyquist and Bode techniques
6. Employ MATLAB and SIMULINK toolboxes to simulate and synthesise dynamic control systems
7. Experimentally characterise the behaviour of elementary feedback control systems.

Overview of Learning Activities

This subject provides you with a number of learning opportunities:

• Viewing weekly pre-recorded lecture videos will guide you to important concepts and underlying principles of feedback control systems
• Weekly lectorial classes will allow you to attempt a range of feedback control problems, and receive guidance on solution strategies
• The laboratory classes will allow you to develop control system simulation and experimental techniques
• Controller Design Workshop will guide you through modelling, simulation, and designing a linear control system for an industry-level DC motor
• The course resources (accessible from the Course Canvas) have additional references and links for you to reference and expand your knowledge of the topics covered.

Overview of Learning Resources

RMIT will provide you with resources and tools for learning in this course through myRMIT Studies Course.

There are services available to support your learning through the University Library. The Library provides guides on academic referencing and subject specialist help as well as a range of study support services. For further information, please visit the Library page on the RMIT University website and the myRMIT student portal.

The learning resources for this course include:

• Pre-recorded videos and lecture notes prepared by the teaching staff.
• Lectorial problems and solutions prepared by the teaching staff.
• Recommended reference books: See the course guide Part B available at the start of classes for the list of references.
• Feedback control system equipment and simulation software is made available to students during allocated laboratory classes. See the course guide Part B for more details.
• Course content will be made available on-line.

Overview of Assessment

X This course has no hurdle requirements.

The assessment tasks for this course include formative and summative elements. The formative elements will be conducted during the normal semester teaching period and enable students to receive feedback on their performance. The summative element is a final measure of student’s performance in order to evaluate the extent to which the student have achieved the learning outcomes listed above.

Assessment tasks

Assessment Task 1: Laboratory Experiments
Weighting 25%
This assessment task supports CLOs 1, 2, 3, 4, 5, and 6

Assessment Task 2: Mid-semester Test (timed and timetabled assessment)
Weighting 25%
This assessment task supports CLOs 1, 2, and 3
This assessment is a timed assessment of less than one hour that students must attend on campus except for international students who are reside outside Australia.

Assessment Task 3: Online Quiz
Weighting 25%
This assessment task supports CLOs 3, 4, and 5
This is a 30-minute online Quiz that may be taken at any time within a 12-hour period.

Assessment Task 4: Design Assignment
Weighting 25%
This assessment supports CLOs 1, 2, 3, and 4