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

EEET2197

Voc Training Ctre of Hong Kong

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

Flexible Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

EEET2197

Voc Training Ctre of Hong Kong

Undergraduate

172H School of Engineering

Face-to-Face

OFFSe22017 (VE18)

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

This course contributes to the following Program Learning Outcomes:

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.


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

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


Overview of Learning Activities

This subject provides you with a number of learning opportunities:

  • Weekly lectures will guide you to important concepts and underlying principles of feedback control systems
  • Weekly tutorial 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
  • The course resources (accessible from the Web) have additional references and links for you to reference and expand your knowledge of the topics covered


Overview of Learning Resources

The learning resources for this course include:

  • Lecture Notes prepared by the teaching staff.
  • Tutorial problems 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 20%
This assessment task supports CLOs 1, 2, 3, 4, 5, and 6

Assessment Task 2: Mid-semester Test
Weighting 15%
This assessment task supports CLOs 1, 2, and 3

Assessment Task 3: End of Semester Test
Weighting 15%
This assessment task supports CLOs 1, 2, 3 and 4

Assessment Task 4: Final Exam
Weighting 50%
This assessment supports CLOs 1, 2, 3, and 4