DocumentCode :
3206943
Title :
Tensor Field guidance for time-based waypoint arrival of UAVs by 4D trajectory generation
Author :
Degen, Shane C. ; Alvarez, Luis Mejias ; Ford, Jason J. ; Walker, Rodney A.
Author_Institution :
Australian Res. Centre for Aerosp. Autom. (ARCAA), Brisbane, QLD
fYear :
2009
fDate :
7-14 March 2009
Firstpage :
1
Lastpage :
7
Abstract :
This paper looks at incorporating time information into a waypoint trajectory-generation technique known as vector field guidance to give a 4D trajectory generator henceforth known as tensor field guidance. The time-based information is local in that it is relative from waypoint to waypoint. We envisage that a higher-level controller or an air traffic management system automates the waypoint generation, while our approach optimizes the travel time between waypoints. We present results from simulations, showing an increase in accuracy of ldquodistance to gordquo estimates over traditional ldquoas-the-crow-fliesrdquo yielding less error in time-based arrivals.
Keywords :
air traffic control; aircraft control; position control; vectors; 4D trajectory generation; UAV; air traffic management system; tensor field guidance; time-based waypoint arrival; unmanned aerial vehicle; vector field guidance; waypoint trajectory-generation technique; Air traffic control; Australia; Automatic generation control; Automation; Computational efficiency; Control systems; Limit-cycles; Tensile stress; Traffic control; Unmanned aerial vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace conference, 2009 IEEE
Conference_Location :
Big Sky, MT
Print_ISBN :
978-1-4244-2621-8
Electronic_ISBN :
978-1-4244-2622-5
Type :
conf
DOI :
10.1109/AERO.2009.4839605
Filename :
4839605
Link To Document :
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