DocumentCode :
3206986
Title :
On-board multi-objective mission planning for Unmanned Aerial Vehicles
Author :
Wu, Paul Pao-Yen ; Campbell, Duncan ; Merz, Torsten
Author_Institution :
Queensland Univ. of Technol., Brisbane, QLD
fYear :
2009
fDate :
7-14 March 2009
Firstpage :
1
Lastpage :
10
Abstract :
A system for automated mission planning is presented with a view to operate unmanned aerial vehicles (UAVs) in the National Airspace System (NAS). This paper describes methods for modelling decision variables, for enroute flight planning under visual flight rules (VFR). For demonstration purposes, the task of delivering a medical package to a remote location was chosen. Decision variables include fuel consumption, flight time, wind and weather conditions, terrain elevation, airspace classification and the flight trajectories of other aircraft. The decision variables are transformed, using a multi-criteria decision making (MCDM) cost function, into a single cost value for a grid-based search algorithm (e.g. A*). It is shown that the proposed system provides a means for fast, autonomous generation of near-optimal flight plans, which in turn are a key enabler in the operation of UAVs in the NAS.
Keywords :
aerospace robotics; aircraft control; mobile robots; operations research; remotely operated vehicles; National Airspace System; UAV; airspace classification; flight time; flight trajectories; fuel consumption; grid-based search algorithm; medical package; multicriteria decision making; near-optimal flight plans; onboard multiobjective mission planning; remote location; terrain elevation; unmanned aerial vehicles; visual flight rules; weather conditions; Air safety; Aircraft; Australia; Cost function; Humans; Packaging; Path planning; Strategic planning; Technology planning; 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.2009.4839608
Filename :
4839608
Link To Document :
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