Course Title: Automatic Control

Part A: Course Overview

Course Title: Automatic Control

Credit Points: 12.00

Important Information:

Please note that this course may have compulsory in-person attendance requirements for some teaching activities. 

To participate in any RMIT course in-person activities or assessment, you will need to comply with RMIT vaccination requirements which are applicable during the duration of the course. This RMIT requirement includes being vaccinated against COVID-19 or holding a valid medical exemption. 

Please read this RMIT Enrolment Procedure as it has important information regarding COVID vaccination and your study at RMIT: https://policies.rmit.edu.au/document/view.php?id=209

Please read the Student website for additional requirements of in-person attendance: https://www.rmit.edu.au/covid/coming-to-campus. 

Please check your Canvas course shell closer to when the course starts to see if this course requires mandatory in-person attendance. The delivery method of the course might have to change quickly in response to changes in the local state/national directive regarding in-person course attendance. 


Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

MIET2006

Bundoora Campus

Undergraduate

115H Aerospace, Mechanical & Manufacturing 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

MIET2006

Bundoora Campus

Undergraduate

172H School of Engineering

Face-to-Face

Sem 2 2017,
Sem 1 2018,
Sem 2 2018,
Sem 2 2019,
Sem 2 2020,
Sem 2 2021

MIET2080

SHAPE, VTC

Undergraduate

115H Aerospace, Mechanical & Manufacturing Engineering

Face-to-Face

Offsh3 14,
Offsh2 15

MIET2357

Stansfield College

Undergraduate

115H Aerospace, Mechanical & Manufacturing Engineering

Face-to-Face

Offsh 3 09,
Offsh 4 09,
Offsh 1 10

Flexible Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

MIET2080

SHAPE, VTC

Undergraduate

172H School of Engineering

Face-to-Face

OFFSe12018 (VM5)

MIET2080

SHAPE, VTC

Undergraduate

172H School of Engineering

Face-to-Face

OFFJan2021 (All)

MIET2080

SHAPE, VTC

Undergraduate

172H School of Engineering

Face-to-Face

OFFJan2022 (VM11)

MIET2477

Kaplan Singapore

Undergraduate

172H School of Engineering

Face-to-Face

OFFSep2019 (All)

Course Coordinator: Dr Henin Zhang

Course Coordinator Phone: +61 3 9925 6121

Course Coordinator Email: henin.zhang@rmit.edu.au

Course Coordinator Location: 251.02.033

Course Coordinator Availability: by appointment


Pre-requisite Courses and Assumed Knowledge and Capabilities

MIET1076 Mechanical Vibrations, or equivalent


Course Description

This course deals with the application of control theory in general engineering applications. Analysis of automatic control systems using transfer function, block diagram, time response and frequency response are discussed and applied to control system evaluation and design.


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.(http://www1.rmit.edu.au/browse;ID=eyj5c0mo77631)
 


Objectives/Learning Outcomes/Capability Development

Program Learning Outcomes (PLOs)

This course contributes to the following program learning outcomes:

1 Knowledge and Skill Base
1.1. Comprehensive, theory-based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline.
1.2. Conceptual understanding of the mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline.
1.3. In-depth understanding of specialist bodies of knowledge within the engineering discipline.

2 Engineering Application Ability
2.1 Application of established engineering methods to complex engineering problem solving
2.2. Fluent application of engineering techniques, tools and resources

 


Course Learning Outcomes (CLOs)

Upon successful completion of this course you should be able to:

1. Model and simulate Linear Time-Invariant dynamic control systems

2. Analyse control system performance by time response and frequency response methods

3. Improve control system performance by simple controller design


Overview of Learning Activities

This course will be run in a blended learning mode. Learning activities include pre-recorded lecture videos, lectorial sessions, lab session, quizzes, assignments, and tests. Key concepts and principles will be explained and illustrated in videos and lectorial sessions. Students will gain hands on experiences via the lab session. It is vital that you keep up-to-date with all learning activities. Details and submission deadlines on the assessment components will be announced on Canvas.


Overview of Learning Resources

•Course information and learning materials (available on Canvas)

•List of relevant reference books (available on Canvas)

•Examples of solved problems (available on Canvas)

•Lab equipment and software package(s) (available on Campus or via myDesktop)


Overview of Assessment

X This course has no hurdle requirements.

☐ All hurdle requirements for this course are indicated clearly in the assessment regime that follows, against the relevant assessment task(s) and all have been approved by the College Deputy Pro Vice-Chancellor (Learning & Teaching).

Assessment item 1: Quizzes (individual)
This item includes: 
*Knowledge check quizzes
*Online quiz 
Weighting of final grade: 30%     
Related course learning outcomes:  1, 2, 3

Assessment item 2:  Mid-semester Test (individual)
(This test will be a 2-hour test that may be taken any time within a 24-hour period).
Weighting of final grade: 20%     
Related course learning outcomes:  1, 2

Assessment item 3: Reports
This item includes: 
*Lab report (Group)
*Software practice report (Individual)

Weighting of final grade: 20%        
Related course learning outcomes:  1, 2, 3

Assessment item 4: End of Semester Test (Individual)
Weighting of final grade: 30%
Related course learning outcomes: 1, 2, 3