AERO4701: Space Engineering 3 (2016 - Semester 1)
|Unit:||AERO4701: Space Engineering 3 (6 CP)|
|Faculty/School:||School of Aerospace, Mechanical & Mechatronic Engineering|
Prof Sukkarieh, Salah
|Session options:||Semester 1|
|Versions for this Unit:|
|Pre-Requisites:||AERO3760. Students must have achieved a 65% average mark in 3rd year for enrolment in this unit.|
|Brief Handbook Description:||This UoS aims to teach students the fundamental principles and methods of designing solutions to optimal estimation and control problems in aerospace engineering applications. Students will apply learned techniques in optimal estimation and control theory to solving a wide range of different problems in engineering such as satellite orbit determination, satellite attitude determination, satellite positioning systems and remote sensing, optimal flight control, and orbit transfers. Students will learn to recognize and appreciate the coupling between the different elements within an estimation and control task, from a systems-theoretic perspective.|
Prof Sukkarieh, Salah
Dr Martens, Wolfram
|Tutor/s:||Suda Bharadwaj - firstname.lastname@example.org|
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 and control tasks involving the design of different algorithms and systems.||Design (Level 4)|
|Students will apply optimal estimation and control design theory to a number of key problems in aerospace engineering such as satellite attitude and orbit determination systems, satellite remote sensing and mapping, optimal flight control, and orbit transfer||Engineering/IT Specialisation (Level 5)|
|Students will develop an expertise in the fundamental principles and applications of optimal estimation and control methods including the use of linear and non-linear least squares approximations, and non-linear programming for various engineering tasks.||Maths/Science Methods and Tools (Level 4)|
|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)|
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: Assignment 1 will focus on satellite mission design, the simulation of satellite orbits and the selection of appropriate sensors and error budget tables.
Assignment: Assignment 2 will focus on the application of least squares estimation with relation to the operation of GNSS.
Assignment: Assignment 3 will focus on optimal control and estimation techniques.
|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 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||Introduction to estimation in aerospace applications: Remote sensing and navigation systems, overview of sensors and systems.|
|Week 2||Orbital Mechanics and Space Geometry: Aerospace frames of reference, Keplerian orbital mechanics, orbital perturbations. Orbital Mechanics and Orbit Determination: Satellite coverage and multi-satellite constellations, orbit determination through range and line-of-sight measurements.|
Introduction to Estimation and Least Squares: Linear least squares, constrained and weighted least squares, non-linear least squares.
GNSS I: Introduction to GPS, signals and message structure, orbit geometry, orbit calculation using almanac and ephemeris data, ground tracking of GPS satellites, operation of positioning, error sources.
|Week 4||GNSS II: Orbit determination using non-linear least squares, GPS accuracy quantification, dilution of precision, introduction to probability and statistics of errors.|
|Assessment Due: Assignment 1|
Attitude Determination Systems (ADS) I: Magnetic sensing, sun/star tracking, horizon scanners, sensor modeling and error simulation.
Attitude Determination Systems (ADS) II: Focus on attitude representation, ADS methods, least squares for ADS.
|Week 6||Introduction to optimal estimation techniques.|
|Week 7||Further details into optimal estimation techniques.|
|Week 8||Further details into optimal estimation techniques.|
|Assessment Due: Assignment 2|
|Week 9||Further details into optimal estimation techniques.|
|Week 10||Further details into optimal estimation techniques.|
|Week 11||Further details into optimal estimation techniques.|
|Week 12||Non-linear estimation techniques.|
Non-linear estimation techniques.
Support for final assignment.
|Assessment Due: Assignment 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||38.33%|
|Maths/Science Methods and Tools (Level 4)||Yes||38.33%|
|Design (Level 4)||Yes||23.33%|
|Information Seeking (Level 4)||Yes||0%|
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.