Note: This unit version is currently under review and is subject to change!
AERO4701: Space Engineering 3 (2017 - Semester 1)
|Unit:||AERO4701: Space Engineering 3 (6 CP)|
|Faculty/School:||School of Aerospace, Mechanical & Mechatronic Engineering|
Dr Bryson, Mitch
|Session options:||Semester 1|
|Versions for this Unit:|
|Pre-Requisites:||((AERO3460 AND AERO3360 AND AERO3560 AND AERO3760" >AERO3760" >AERO3760" >AERO3760) OR (MECH3660" >MECH3660 AND MECH3261 AND MECH3361 AND AERO3760" >AERO3760" >AERO3760" >AERO3760) OR (MECH3660" >MECH3660 AND AMME3500 AND MTRX3700 AND AERO3760" >AERO3760" >AERO3760" >AERO3760)) AND [Must have passed AERO 3760]. 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 estimation and control problems in aerospace engineering applications. Students will apply learned techniques in estimation and control theory to solving a wide range of different problems in engineering such as satellite orbit determination, orbit transfers, satellite attitude determination, satellite positioning systems and remote sensing. Students will learn to recognise and appreciate the coupling between the different elements within an estimation and control task, from a systems-theoretic perspective. Students will learn to use this system knowledge and basic design principles to design and test a solution to a given estimation task, with a focus on aerospace applications (such as satellite remote sensing).|
Dr Bryson, Mitch
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. Students will develop skills in analysing mission constraints and requirements in aerospace remote sensing missions and modelling how design choices influence how errors propagate through a system during inference tasks.||Design (Level 4)|
|Students will apply 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 and orbit transfer.||Engineering/IT Specialisation (Level 5)|
|Students will develop 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 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 determination of satellite orbit parameters from range and line-of-sight observations.
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 integrating the elements of estimation, orbital mechanics and navigation systems learnt in the first part of the course towards the design and simulation of a complete solution to a given remote sensing task.
The text-based similarity detecting software (Turnitin) is used within this course.
|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.|
|Week 3||Orbital Mechanics and Orbit Determination: Satellite coverage and multi-satellite constellations, orbit determination through range and line-of-sight measurements.|
|Week 4||Introduction to Estimation and Least Squares: Linear least squares, constrained and weighted least squares, non-linear least squares.|
|Assessment Due: Assignment 1|
|Week 5||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 6||GNSS II: Orbit determination using non-linear least squares, GPS accuracy quantification, dilution of precision, introduction to probability and statistics of errors.|
|Week 7||Attitude Determination Systems (ADS): Magnetic sensing, sun/star tracking, horizon scanners, sensor modelling and error simulation.|
|Week 8||Attitude Determination Systems (ADS) II: Focus on attitude representation, ADS methods, least squares for ADS.|
|Assessment Due: Assignment 2|
|Week 9||Remote Sensing Mission Design: Modeling of coupling between navigation and remote sensing, system accuracy evaluation, trade-off studies.|
|Week 10||Geometry of Remote Sensing: Ground mapping and geo-location using remote sensing data, methods in photogrammetry, mapping and construction of satellite maps.|
|Week 11||Case Studies in Remote Sensing and Navigation: Overview of mission designs and implementations.|
|Week 12||Simulation and Verification in System Design: Simulation methods for orbits, navigation and remote sensing systems, statistic evaluation of system performance, Monte-Carlo Analysis.|
|Week 13||Advanced Estimation in Aerospace Applications: Real-time terrain-aided navigation, Simultaneous Localisation and Mapping (SLAM), structure from motion.|
|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.