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Unit outline_

AERO5750: Unmanned Air Vehicle Systems

Semester 2, 2024 [Normal day] - Camperdown/Darlington, Sydney

Objectives/Expected Outcomes: To develop specialist knowledge and understanding of Unmanned Air Vehicle (UAV) systems. To be able to assess, evaluate and perform preliminary design analysis on complete UAV systems. Syllabus summary: This course will focus on understanding UAVs from a system perspective. It will consider a variety of key UAV subsystems and look at how these interact to determine the overall effectiveness of a particular UAV system for a given mission. Based on this understanding it will also look at the evaluation and design of a complete UAV system for a given mission specification. Some of the primary UAV subsystems that will be considered in this course are as follows. Airframe and Propulsion: The role of the basic airframe/propulsion subsystem of the UAV in setting operational mission bounds for different classes of UAVs, from micro UAVs, through to larger vehicles. Flight Control and Avionics: Typical UAV primary flight control systems; Sensor requirements to support different levels of operation (eg auto-land vs remote-control landing etc. ,); Redundancy requirements. Navigation: Navigation requirements; inertial navigation; aiding via use of GPS; strategies to combat GPS failures. Typical Payloads: Electro-Optical (EO); Infra-Red (IR); Electronic Warfare (EW); Electronic Surveillance (ES); Radar and others. Payload stabilization and pointing accuracy requirements. Air-Ground Communication Link: Typical Civilian and Military communication links. Range, Security, Bandwidth, Cost issues. Ground Control Station(GCS): Air-vehicle monitoring; payload monitoring; data dissemination; control of multiple vehicles. The course will also consider other general issues associated with modern UAV systems including multi-vehicle systems, certification of UAV systems and others. As part of the course students will spend 1 day operating a UAV system, with their own mission guidance/mission control software on board.

Unit details and rules

Academic unit Aerospace, Mechanical and Mechatronic
Credit points 6
Prerequisites
? 
[(AERO3260 or AERO8260 or AERO9260) and (AERO3360 or AERO8360 or AERO9360) and (AERO2460 or AERO3460 or AERO8460 or AERO9460) and (AERO3560 or AERO8560 or AERO9560)] or equivalent study at another institution
Corequisites
? 
None
Prohibitions
? 
None
Assumed knowledge
? 

AERO1560, AERO1400, AMME2700, (AERO2460 or AERO3460), AERO3560, AERO3260, AERO3261 and AERO4460

Available to study abroad and exchange students

Yes

Teaching staff

Coordinator Zi Wang, zihao.wang@sydney.edu.au
Lecturer(s) Zi Wang, zihao.wang@sydney.edu.au
The census date for this unit availability is 2 September 2024
Type Description Weight Due Length
Small continuous assessment Project Logbook Check
Individual project progress check during the tutorial.
10% Multiple weeks 2 pages every week (Weeks 2-11)
Outcomes assessed: LO1 LO2 LO3 LO5
Small test Major Project Progress Review
Individual oral test of course learning outcomes and project progress.
20% Week 09
Due date: 23 Sep 2024 at 18:00

Closing date: 23 Sep 2024
20 minutes
Outcomes assessed: LO1 LO5 LO3 LO2
Presentation group assignment UAV System demonstration
Demonstration of integrated UAV System to meet given specifications.
10% Week 12
Due date: 21 Oct 2024 at 18:00

Closing date: 21 Oct 2024
3 hours
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6
Assignment group assignment Final Project Report
Group technical report.
40% Week 13
Due date: 03 Nov 2024 at 23:59

Closing date: 08 Nov 2024
40 pages max
Outcomes assessed: LO1 LO6 LO5 LO4 LO3 LO2
Presentation group assignment UAV System presentation
Presentation of development & achievements of Systems to meet specification
20% Week 13
Due date: 28 Oct 2024 at 23:59

Closing date: 28 Oct 2024
20 mins
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6
group assignment = group assignment ?

Assessment summary

  • Major Project Progress Review - Oral Test
    • A 20-minute oral test of each individual student will be conducted during the tutorial in Week 9 to check on the student's project progress as well as learning progress.
  • Final Project Report
    • A group project report detailing the design, development and testing of the UAV system.
  • UAV System Demonstration
    • An in-person flight demonstration of the UAV system developed by the students.
  • UAV System Presentation
    • An oral presentation of the major project achievements.
  • Project Logbook Check
    • A weekly logbook check of the student's progress.

 

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name

Mark range

Description

High distinction

85 - 100

 

Distinction

75 - 84

 

Credit

65 - 74

 

Pass

50 - 64

 

Fail

0 - 49

When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

  • Deduction of 5% of the maximum mark for each calendar day after the due date.
  • After ten calendar days late, a mark of zero will be awarded.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

The penalty for lateness is 5% per day. The penalty would apply from the next calendar day after the deadline. The penalty is a percentage of the available mark and is applied to the mark gained after the submitted work is marked (e.g., an assignment worth 100 marks is 1 day late. The content is given a mark of 75. With the 5% penalty, the final mark is 70). Non-completion of Sparkplus peer evaluation for the major assignment will result in a 50% penalty. (e.g. if the grade for the major assignment is 20 out of 35, the final result will be reduced to 10).

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Support for students

The Support for Students Policy 2023 reflects the University’s commitment to supporting students in their academic journey and making the University safe for students. It is important that you read and understand this policy so that you are familiar with the range of support services available to you and understand how to engage with them.

The University uses email as its primary source of communication with students who need support under the Support for Students Policy 2023. Make sure you check your University email regularly and respond to any communications received from the University.

Learning resources and detailed information about weekly assessment and learning activities can be accessed via Canvas. It is essential that you visit your unit of study Canvas site to ensure you are up to date with all of your tasks.

If you are having difficulties completing your studies, or are feeling unsure about your progress, we are here to help. You can access the support services offered by the University at any time:

Support and Services (including health and wellbeing services, financial support and learning support)
Course planning and administration
Meet with an Academic Adviser

WK Topic Learning activity Learning outcomes
Multiple weeks Background Research, coding, and development of required UAV systems. Independent study (85 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 01 Overview of unmanned aircraft systems Lecture and tutorial (5 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 02 Unmanned aircraft types and technologies Lecture and tutorial (5 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 03 Unmanned aircraft mission systems Lecture and tutorial (5 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 04 Challenges for future unmanned aircraft systems - unique designs Lecture and tutorial (5 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 05 Challenges for future unmanned aircraft systems Lecture and tutorial (5 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 06 Major Project Briefing Studio (5 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 07 Working on Project Studio (5 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 08 Working on Project Studio (5 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 09 Major Project Progress Review Studio (5 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 10 Working on Project Studio (5 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 11 Working on Project Studio (5 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 12 Project Demonstration Studio (5 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 13 Project Presentation Studio (5 hr) LO1 LO2 LO3 LO4 LO5 LO6

Attendance and class requirements

On-campus class attendance and in-class participation is essential.

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Required readings

All readings for this unit can be accessed through the Library eReserve, available on Canvas.

  • Jay Gundlach, Designing Unmanned Aircraft Systems (1). USA, AIAA, 2012. 978-1-60086-843-6.

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

  • LO1. Self-learning from open source resources.
  • LO2. Develop specialist knowledge and understanding of UAV systems.
  • LO3. Develop skills to assess, evaluate and perform preliminary design analysis on complete UAV systems.
  • LO4. Interact with team members in class to communicate and integrate individual work towards required UAV system
  • LO5. Communicate project achievements using through written reports and oral presentation.
  • LO6. Develop the ability to work as a member of a team and to take responsibility for the meeting of project goals and completion of project sub-tasks. Communicate with team members to negotiate strategies to satisfy project requirements.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1 Depth of disciplinary expertise

Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.

GQ2 Critical thinking and problem solving

Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.

GQ3 Oral and written communication

Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.

GQ4 Information and digital literacy

Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.

GQ5 Inventiveness

Generating novel ideas and solutions.

GQ6 Cultural competence

Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.

GQ7 Interdisciplinary effectiveness

Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.

GQ8 Integrated professional, ethical, and personal identity

An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.

GQ9 Influence

Engaging others in a process, idea or vision.

Outcome map

Learning outcomes Graduate qualities
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9

This section outlines changes made to this unit following staff and student reviews.

2022 - Minor adjustments. 2024 - Updated learning outcomes based on new content to be introduced. A new assessment schedule is introduced.

Site visit guidelines

Details will be advised in class if field trips are possible.

Work, health and safety

Closed footwear essential when in laboratories and if fieldtrips are possible. Face masks required in classwork.

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.