AERO5700: Space Engineering (Advanced) (2014 - Semester 2)
|Unit:||AERO5700: Space Engineering (Advanced) (6 CP)|
|Faculty/School:||School of Aerospace, Mechanical & Mechatronic Engineering|
Prof Sukkarieh, Salah
|Session options:||Semester 2|
|Versions for this Unit:|
|Brief Handbook Description:||Planetary observation using robotics and intelligents systems will grow in importance over the next decade. These systems can take the form of either intelligent spacecraft, robotic air vehicles or planetary rovers. In this subject we will study a wide range of robotic spacecraft systems that are used for planetary observation and focus on their specifications as well as their internal systems. From a practical perspective will be working hands on with the Mars Rover developed at the University of Sydney to study the various intelligent components and how they come together.|
Dr Goktogan, Ali
Prof Sukkarieh, Salah
|T&L Activities:||Week Topics/ Activities
Week 1 Lecture: Introduction
Week 2 Lecture: Unit of Study Outline and Intro to Mars Lab
Week 3 Lecture: Planetary Rovers Robotic Lunar and Mars Rover Platforms
Week 4 Lecture: Mars Rover Subsystems
Week 5 Lecture: Mars Rover Kinematics
Week 6 Lecture: Traversability and Path Planning
Week 7 Lecture: Communication Subsystem of the Experimental Mars Rover (EMR)-Mawson
Week 8 Lecture: Communication Subsystem of the Experimental Mars Rover (EMR)-Mawson
Week 9 Lecture: Smart Actuators on EMR-Mawson
Week 10 Lecture: Smart Actuators on EMR-Mawson
Week 11 Lecture: Visual Target Tracking Using EMR-Mawson
Week 12 Lecture: Visual Target Tracking Using EMR-Mawson
Week 13 Lecture: Presentation of Students Works at Mars Lab
Attributes listed here represent the key course goals (see Course Map tab) designated for this unit. The list below describes how these attributes are developed through practice in the unit. See Learning Outcomes and Assessment tabs for details of how these attributes are assessed.
|Attribute Development Method||Attribute Developed|
|Students will work on implementing solutions to estimation tasks involving the design of different algorithms and sensor systems.||Design (Level 4)|
|Students will apply estimation and design theory to a number of key problems in aerospace engineering such as global positioning systems, satellite attitude and orbit determination systems and satellite remote sensing and mapping.||Engineering/IT Specialisation (Level 5)|
|Students will develop an expertise in the fundamental principles and applications of estimation methods including the use of linear and non-linear least squares approximations for various engineering tasks.||Maths/Science Methods and Tools (Level 5)|
|Students will be required to conduct their own literature search in studying past solutions to example problems and draw upon this knowledge during their own design process.||Information Seeking (Level 4)|
|The stduents will develop ability to communiate their findings and design via verbal presentation and written reports.||Communication (Level 3)|
|The students will develop ability to critically reflect on professional context issues in undertaking well-defined individual and team responsibilities||Professional Conduct (Level 3)|
|The students will develop project management skills to undertake the defined project activities.||Project and Team Skills (Level 3)|
For explanation of attributes and levels see Engineering & IT Graduate Outcomes Table.
Learning outcomes are the key abilities and knowledge that will be assessed in this unit. They are listed according to the course goal supported by each. See Assessment Tab for details how each outcome is assessed.Engineering/IT Specialisation (Level 5)
Assignment 1 will focus on space rover mission design.
Assignment 2 will focus on application of navigation and control applied to a planetary rover.
Assignment 3 will focus on integrating the elements of navigation and control in order to meet mission requirements.
|Policies & Procedures:||See the policies page of the faculty website at http://sydney.edu.au/engineering/student-policies/ for information regarding university policies and local provisions and procedures within the Faculty of Engineering and Information Technologies.|
Note: References are provided for guidance purposes only. Students are advised to consult these books in the university library. Purchase is not required.
Note that the "Weeks" referred to in this Schedule are those of the official university semester calendar https://web.timetable.usyd.edu.au/calendar.jsp
|Week 1||Lecture: Intro|
|Week 2||Lecture: Avionic and Spacionic Systems|
|Week 3||Lecture: Mars Rover Systems|
|Week 4||Lecture: Mars Rover Systems|
|Assessment Due: Assignment 1|
|Week 5||Lecture: Mars Rover Systems|
|Week 6||Lecture: Mars Rover Systems|
|Week 7||Lecture: Mars Rover Systems|
|Week 8||Lecture: Mars Rover Systems|
|Assessment Due: Assignment 2|
|Week 9||Lecture: Mars Rover Systems|
|Week 10||Lecture: Mars Rover Systems|
|Week 11||Lecture: Future Space Robotic Systems|
|Week 12||Lecture: Future Space Robotic Systems|
|Week 13||Lecture: Future Space Robotic Systems|
|Assessment Due: Assignmnet 3|
The following is a list of courses which have added this Unit to their structure.
This unit contributes to the achievement of the following course goals:
|Engineering/IT Specialisation (Level 5)||Yes||25%|
|Design (Level 4)||Yes||22.5%|
|Maths/Science Methods and Tools (Level 5)||Yes||26.5%|
|Information Seeking (Level 4)||Yes||7%|
|Communication (Level 3)||Yes||6%|
|Project and Team Skills (Level 3)||Yes||10%|
|Professional Conduct (Level 3)||Yes||3%|
These goals are selected from Engineering & IT Graduate Outcomes Table which defines overall goals for courses where this unit is primarily offered. See Engineering & IT Graduate Outcomes Table for details of the attributes and levels to be developed in the course as a whole. Percentage figures alongside each course goal provide a rough indication of their relative weighting in assessment for this unit. Note that not all goals are necessarily part of assessment. Some may be more about practice activity. See Learning outcomes for details of what is assessed in relation to each goal and Assessment for details of how the outcome is assessed. See Attributes for details of practice provided for each goal.