DocumentCode :
2905816
Title :
Optimal path planning and power allocation for a long endurance solar-powered UAV
Author :
Hosseini, Sepehr ; Ran Dai ; Mesbahi, Mehran
Author_Institution :
Dept. of Aeronaut. & Astronaut., Univ. of Washington, Seattle, WA, USA
fYear :
2013
fDate :
17-19 June 2013
Firstpage :
2588
Lastpage :
2593
Abstract :
In this paper the problem of optimal path planning and power allocation for an Unmanned Aerial Vehicle (UAV) is explored. The UAV is equipped with photovoltaic cells on top of its wings and its energy sources are solar power and rechargeable batteries. The Sun incidence angle on the photovoltaic cells, which subsequently affects energy harvesting, is determined by the attitude of the UAV and the Sun position. The desired optimal path between two given boundary points, is aimed at increasing the amount of energy storage at the final point. Meanwhile, the charging state of the battery, resulting from the power allocation, needs to be determined along with the path planning procedure. Two approaches, nonlinear programming and model reduction, are proposed and their corresponding simulation results are presented and compared.
Keywords :
autonomous aerial vehicles; battery powered vehicles; energy harvesting; nonlinear programming; path planning; photovoltaic cells; solar powered vehicles; Sun incidence angle; Sun position; battery charging state; boundary points; energy harvesting; energy sources; energy storage; model reduction; nonlinear programming; optimal path planning; photovoltaic cells; power allocation; rechargeable batteries; solar-powered UAV wings; unmanned aerial vehicle; Aircraft; Atmospheric modeling; Batteries; Kinematics; Resource management; Sun; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2013
Conference_Location :
Washington, DC
ISSN :
0743-1619
Print_ISBN :
978-1-4799-0177-7
Type :
conf
DOI :
10.1109/ACC.2013.6580224
Filename :
6580224
Link To Document :
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