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Stefan cel Mare
University of Suceava
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ROMANIA

Print ISSN: 1582-7445
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WorldCat: 643243560
doi: 10.4316/AECE


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  4/2021 - 8

Wind-Effected Dynamic Quadrotor Route Planning with Metaheuristic Methods in Different Weather Conditions

INCEKARA, H. See more information about INCEKARA, H. on SCOPUS See more information about INCEKARA, H. on IEEExplore See more information about INCEKARA, H. on Web of Science, SELEK, M. See more information about SELEK, M. on SCOPUS See more information about SELEK, M. on SCOPUS See more information about SELEK, M. on Web of Science
 
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Download PDF pdficon (2,136 KB) | Citation | Downloads: 518 | Views: 816

Author keywords
genetic algorithms, heuristic algorithms, routing, unmanned aerial vehicles, wind

References keywords
wind(13), unmanned(13), control(13), problem(10), aerial(10), quadrotor(9), vehicle(8), systems(8), routing(8), research(7)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2021-11-30
Volume 21, Issue 4, Year 2021, On page(s): 69 - 78
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2021.04008
Web of Science Accession Number: 000725107100008
SCOPUS ID: 85122236431

Abstract
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In cases where quadrotors, which are increasingly important rotary-wing Unmanned Aerial Vehicles (UAVs), are required to visit more than one location, route planning should be done to reduce the cost of flight and increase the efficiency. In this study, it is aimed to reduce the flight time and increase the efficiency of Quadrotor Route Planning (QRP) based on the changes in wind speed and wind angle. To achieve this, a dynamic QRP application which can generate routes which are suitable for changing environmental conditions by using instantaneous wind data and real location coordinates has been developed. In this application, Genetic Algorithm (GA), Tabu Search and Traveling Salesman Problem (TSP) with GA metaheuristic methods were used comparatively to optimize QRP according to flight time. Among these methods, the TSP with GA method is the metaheuristic method that gave the most optimal results. When the results are examined, it is seen that wind effect dynamic QRP that uses TSP and GA method provides up to 26% improvements in flight time compared to Standard QRP that uses TSP with GA method.


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References Weight

Web of Science® Citations for all references: 5,331 TCR
SCOPUS® Citations for all references: 7,245 TCR

Web of Science® Average Citations per reference: 103 ACR
SCOPUS® Average Citations per reference: 139 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2023-09-21 17:06 in 332 seconds.




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