A method was previously developed by this author
to optimise the flight path of a fixed wing UAV performing aerial surveys of complex concave agricultural fields. This relies heavily on a flight time in wind prediction model as its cost
function. This paper aims to validate this model by comparing flight test results with the model prediction. There are a number of assumptions that this model relies on. The major assumption
is that wind is steady and uniform over the small area and time scales involved in a survey. To show that this is reasonable, wind fields measurements will be taken from a multi rotor UAV with an ultrasonic windspeed sensor.
Funding
This work was supported by Science and Technology Facilities Council (STFC) under Newton Fund with grant number ST/N006852/1, and by the EPSRC with grant number EP/P012868/1.
History
School
Aeronautical, Automotive, Chemical and Materials Engineering
Department
Aeronautical and Automotive Engineering
Published in
2019 International Conference on Robotics and Automation (ICRA)
Pages
711 - 717
Citation
COOMBES, M., CHEN, W-H. and LIU, C., 2019. Flight testing Boustrophedon coverage path planning for fixed wing UAVs in wind. IN: 2019 IEEE International Conference on Robotics and Automation (ICRA), Montreal, Canada, 20-24 May 2019, pp.711-717.