Wind-Effected Dynamic Quadrotor Route Planning with Metaheuristic Methods in Different Weather Conditions
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 in...
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| Autores principales: | , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Stefan cel Mare University of Suceava
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/208436520b134863b9c11aa2896c03a5 |
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| Sumario: | 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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