Agile Design of Unmanned Air Systems

Lead Research Organisation: University of Southampton
Department Name: Sch of Engineering

Abstract

This PhD project is part of the CASCADE programme (led by Southampton and including the universities of Cranfield, Manchester, Bristol, as well as Imperial College), which is built on the idea that a step change in the civil use of aerial robotics (or Unmanned Air Vehicles, UAVs or simply "drones") will deliver significant societal and economic benefits, such as better knowledge of our environment, more efficient logistics and enhanced support of infrastructure. Civil aerial robotics will therefore be a significant market in its own right, and one in which the UK can lead through technology advantage and a healthy operating ecosystem for innovation. The CASCADE programme will deliver the research to underpin these advances, tackling the fundamental roadblocks, technical and regulatory, that limit routine use of aerial robots in science and civil applications. It is this fundamental research activity that this PhD project will form a significant pillar of, tackling the question of how to increase the agility of unmanned platform design processes through the use of parametric geometry modelling and design space control.

Publications

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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/R513325/1 01/10/2018 30/09/2023
2282119 Studentship EP/R513325/1 01/10/2019 30/09/2022 Adrian Weishaeupl
 
Description An automated process for determining the performance (lift and drag coefficients) of an Unoccupied Aerial Vehicle has been developed. This uses a combination of automated manoeuvres and automated analysis to work out the lift and drag curves in a short time. The process is suitable for use in a development cycle to evaluate a prototype's performance and the effect of improvements made throughout the design process.

The performance of the different automated manoeuvres has also been compared and real world data was used to develop optimal combinations of the manoeuvres to minimise the time spent flight testing and maximise the accuracy of the resulting lift and drag coefficients.
Exploitation Route This research is applicable as a valuable tool in the Uncrewed Aerial Vehicle development process. It is suitable for the development of fixed wing UAV and has the potential to be applied as an alternative process to the traditional methods such as wind tunnel testing and computational fluid dynamics.
Sectors Aerospace, Defence and Marine

 
Title AutoFLpy 
Description AutoFLpy (Automated Flight Log python) is an open source code to allow you to create agile flight reports. This code rapidly creates flight reports for the user given an input file in a matter of minutes and is ideal for a complete analysis and evaluation of flight data. 
Type Of Technology Software 
Year Produced 2019 
Open Source License? Yes  
Impact The software enables a faster flight data analysis. Through the use of AutoFLpy, UAV test flights can be visualised whilst still at the airfield to quickly determine the quality of the data collected. 
URL https://autoflpy.readthedocs.io/en/latest/index.html