Development of control platform for micro-UAVs with integrated motion planning in wind

Doshi, Ashray A., Postula, Adam J., Singh, Surya P. N. and Fletcher, Andrew (2014). Development of control platform for micro-UAVs with integrated motion planning in wind. In: Radovan Stojanovic, Lech Jozwiak and Drazen Jurisic, 2014 3rd Mediterranean Conference on Embedded Computing (MECO). 2014 3rd Mediterranean Conference on Embedded Computing (MECO), Budva, Montenegro, (28-31). 15-19 June 2014. doi:10.1109/MECO.2014.6862709

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads

Author Doshi, Ashray A.
Postula, Adam J.
Singh, Surya P. N.
Fletcher, Andrew
Title of paper Development of control platform for micro-UAVs with integrated motion planning in wind
Conference name 2014 3rd Mediterranean Conference on Embedded Computing (MECO)
Conference location Budva, Montenegro
Conference dates 15-19 June 2014
Convener Radovan Stojanovic
Proceedings title 2014 3rd Mediterranean Conference on Embedded Computing (MECO)
Place of Publication Piscataway NJ United States
Publisher Institute of Electrical and Electronic Engineers
Publication Year 2014
Sub-type Fully published paper
DOI 10.1109/MECO.2014.6862709
Open Access Status
ISBN 9781479948260
9781479948277
Editor Radovan Stojanovic
Lech Jozwiak
Drazen Jurisic
Start page 28
End page 31
Total pages 4
Chapter number 9
Total chapters 80
Collection year 2015
Language eng
Abstract/Summary Micro-UAVs (Unmanned Aerial Vehicles) attract much interest in a wide range of commercial applications. Due to small size, very limited power and susceptibility to wind their design poses difficult problems in control and motion planning. FPGA technology allows integration of high speed control circuits with efficient hardware implementations of complex algorithms on the same reconfigurable hardware chip. This is a very attractive option for implementation of a micro-UAV computing platform. This paper presents development of control platform for micro-UAVs focusing on integration of lower level control with online motion planning in wind. Some aspects of tight integration of on-board optical sensors with the aircraft control system are also discussed.
Keyword FPGA
Control
Micro-UAV
Motion planning
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

 
Versions
Version Filter Type
Citation counts: Scopus Citation Count Cited 0 times in Scopus Article
Google Scholar Search Google Scholar
Created: Mon, 18 May 2015, 14:46:16 EST by Caitlin Maskell on behalf of School of Information Technol and Elec Engineering