Part A: Course Overview
Course Title: Automotive Systems and Control
Credit Points: 12.00
Terms
Course Code |
Campus |
Career |
School |
Learning Mode |
Teaching Period(s) |
AUTO1029 |
City Campus |
Postgraduate |
115H Aerospace, Mechanical & Manufacturing Engineering |
Face-to-Face |
Sem 2 2008, Sem 1 2009, Sem 2 2009, Sem 1 2010, Sem 2 2010, Sem 2 2011, Sem 2 2012, Sem 2 2013, Sem 2 2014, Sem 2 2015, Sem 2 2016 |
AUTO1029 |
City Campus |
Postgraduate |
172H School of Engineering |
Face-to-Face |
Sem 2 2017, Sem 2 2019, Sem 2 2020, Sem 2 2022, Sem 2 2023, Sem 2 2024 |
AUTO1029 |
City Campus |
Postgraduate |
172H School of Engineering |
Face-to-Face or Internet |
Sem 2 2021 |
Course Coordinator: Dr Hamid Khayyam
Course Coordinator Phone: +61 3 9925 4630
Course Coordinator Email: hamid.khayyam@rmit.edu.au
Course Coordinator Availability: by appointment
Pre-requisite Courses and Assumed Knowledge and Capabilities
None
Course Description
The aim of the course is to familiarise you with the control issues of the core automotive systems that influence the general behaviour of the whole vehicle. This course will also address the design, control and implementation of these systems using the platform of MATLAB and SIMULINK.
The objective is to prepare you for real world applications in automotive systems and control. The course promotes hands-on practice by incorporating a course project that will enable you to apply the learned technologies to a real world automotive system application via the platform of MATLAB and SIMULINK.
The course will cover control system design and numerical simulation of automotive systems such as brake system, ride & handling systems, and power-train. It will start with the most widely used control structure in automotive applications and end with the advanced control topics that include system constraints in the design and the driver system close loop control. The course will provide you with the modern techniques of modelling, simulation and control of automotive systems, using MATLAB and SIMULINK computer packages.
The course has three modules:
- Overview of main Automotive Systems. This module is limited to the principles and theory underlying the design and operation of the most representative automotive systems and their safety and energy subsystems, i.e. brakes (proportioning and ABS), ride & handling (suspension, steering, ESP) power-train (transmission, clutch, launch control, electronic differential), adaptive cruise control, lane change assistance, and intelligent transportation systems.
- Control Systems. This module is limited to the principles, classical control and intelligent control methods as applied to the automotive systems.
- Automotive systems simulation, control and data analysis. This module is dedicated to the modelling of automotive systems using MATLAB and SIMULINK computer software.
Objectives/Learning Outcomes/Capability Development
This course contributes to the following Program Learning Outcomes of the Master of Engineering:
1. Needs, Context and Systems
- Describe, investigate and analyse complex systems in engineering and associated issues (using systems thinking and modelling techniques)
2. Problem Solving and Design
- Develop creative and innovative solutions to engineering problems
3. Analysis
- Comprehend and apply advanced theory-based understanding of engineering fundamentals and specialist bodies of knowledge in the selected discipline area to predict the effect of engineering activities
- Apply underpinning natural, physical and engineering sciences, mathematics, statistics, computer and information sciences.
4. Professional Practice
- Demonstrate effective team membership and team leadership
5. Research
- Assess, acquire and apply the competencies and resources appropriate to engineering activities
Upon successful completion of the course, you should be able to:
- Formulate and solve control engineering tasks related to the most representative automotive systems using the Control Theory methodology
- Model and simulate complex automotive systems in computer interactive environment, using MATLAB and SIMULINK
Overview of Learning Activities
The course will be offered with an emphasis on online teaching as a method of learning. Pre-recorded lecture videos will be supplemented by the computer class demonstrations and will be combined with tutorials. You will be provided with notes online with opportunities to discuss their use in class, during tutorials and consultations. You will demonstrate your ability to apply the acquired knowledge through completion of written tests and assignments.
During tutorials you will be provided with examples of industry relevant applications and you will conduct simulation studies. In particular, the MATLAB and SIMULINK platform will be taught in the tutorials for real time implementation of automotive control systems. This is intended to aid your understanding of the theory, design, algorithms and programming procedures of automotive systems and controls.
Overview of Learning Resources
Learning resources include the electronic learning package, lecture notes, class materials, recommended references, and other resources as advised by course coordinator. A detailed list of prescribed and recommended texts may be found on the course Canvas (accessed via myRMIT). Assignments, selected lecture notes and slides, examples of relevant MATLAB programs, SIMULINK designs, etc., will be provided through Canvas.
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 Tasks
Assignment 1: Technical essay
Weighting 10%
This assessment supports CLOs 1-2
Assignment 2: Analysis task
Weighting 20%
This assessment supports CLOs 1-2
Assignment 3: Control design
Weighting 20%
This assessment supports CLOs 1-2
Project
Weighting 50%
This assessment supports CLOs 1-2