NDLI: 2D path planning for UAVs in radar threatening environment using simulated annealing algorithm

Content Provider	IEEE Xplore Digital Library
Author	Turker, T. Sahingoz, O.K. Yilmaz, G.
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. Eng., Turkish Air Force Acad., Istanbul, Turkey (Turker, T.; Sahingoz, O.K.; Yilmaz, G.)
Abstract	Path planning for an Unmanned Aerial Vehicle which can be used in many different purposes is a challenging issue especially in tasks involving large number of visiting points. The problem becomes more complex when the flight environment is taken into account with numerous constraints. In this paper, Simulated Annealing (SA) algorithm is used to obtain nearly optimal path in 2D radar constrained environment. A simple threat avoidance approach is developed and applied to the solution found by using SA in order to escape from regular circular radar threats. Tests are conducted to observe the behaviour of SA algorithm and proposed threat avoidance approach. The results show that, in a reasonable period of time, SA algorithm provides acceptable solutions with its capability of escaping from local minima using Metropolis acceptance rule and the proposed threat avoidance approach applied to the best found solution makes the path threat-free simply.
Starting Page	56
Ending Page	61
File Size	280840
Page Count	6
File Format	PDF
e-ISBN	9781479960101
DOI	10.1109/ICUAS.2015.7152275
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cooling Unmanned aerial vehicle Simulated annealing Radar Traveling salesman problem Path planning Aircraft Genetic algorithms
Content Type	Text
Resource Type	Article

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