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Global Path Planning For Solar-Powered Uav

The unmanned aerial vehicle (UAV) is widely use nowadays due to its functionality and capable of undergoes many types of mission. The solar-powered unmanned aerial vehicle (SUAV) is preferable over conventional UAV as it provide high-level of sustainability and endurance. This solar-powered UAV need...

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Main Author: Wahab, Abdul Aniq Aqil Abd
Format: Monograph
Language:English
Published: Universiti Sains Malaysia 2021
Subjects:
T Technology (General)
Online Access:http://eprints.usm.my/54491/1/Global%20Path%20Planning%20For%20Solar-Powered%20Uav.pdf
http://eprints.usm.my/54491/
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spelling my.usm.eprints.54491 http://eprints.usm.my/54491/ Global Path Planning For Solar-Powered Uav Wahab, Abdul Aniq Aqil Abd T Technology (General) The unmanned aerial vehicle (UAV) is widely use nowadays due to its functionality and capable of undergoes many types of mission. The solar-powered unmanned aerial vehicle (SUAV) is preferable over conventional UAV as it provide high-level of sustainability and endurance. This solar-powered UAV need comprehensive mission planning to make sure that it has enough power to sustain a perpetual flight. In this research, a simulation using MATLAB to test various optimal flight path pattern for UAV is configurated and analyzed, then a best flight pattern to sustain a continuous mission will be selected. The study of daylight duration and solar irradiance on earth is included in this research to plan a best flight path in term of endurance. The simulated solar-powered UAV is maintained at 100 m above ground level and fly at minimum cruise velocity throughout the mission. The simulation is carried out by creating a hexagonal discrete global grid over the 0.03% of earth map and testing as many as possible path in each hexagon cell. The path is pre-determined, and the hexagon cell is generated by declaring the points on side of hexagon shape based on latitude-longitude coordinates system of earth. The path is further analyzed to find best path for UAV in term of least distance travelled and longest flight time or perpetual flight with most SOC state. Overall, the horizontal systematic path pattern emerges as the best systematic path pattern as for the horizontal path pattern the percentage of usage is the highest which at 88% compared to diagonal path pattern which only at 12%. Universiti Sains Malaysia 2021-06-01 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/54491/1/Global%20Path%20Planning%20For%20Solar-Powered%20Uav.pdf Wahab, Abdul Aniq Aqil Abd (2021) Global Path Planning For Solar-Powered Uav. Project Report. Universiti Sains Malaysia, Pusat Pengajian Kejuruteraan Aeroangkasa. (Submitted)
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Wahab, Abdul Aniq Aqil Abd
Global Path Planning For Solar-Powered Uav
description The unmanned aerial vehicle (UAV) is widely use nowadays due to its functionality and capable of undergoes many types of mission. The solar-powered unmanned aerial vehicle (SUAV) is preferable over conventional UAV as it provide high-level of sustainability and endurance. This solar-powered UAV need comprehensive mission planning to make sure that it has enough power to sustain a perpetual flight. In this research, a simulation using MATLAB to test various optimal flight path pattern for UAV is configurated and analyzed, then a best flight pattern to sustain a continuous mission will be selected. The study of daylight duration and solar irradiance on earth is included in this research to plan a best flight path in term of endurance. The simulated solar-powered UAV is maintained at 100 m above ground level and fly at minimum cruise velocity throughout the mission. The simulation is carried out by creating a hexagonal discrete global grid over the 0.03% of earth map and testing as many as possible path in each hexagon cell. The path is pre-determined, and the hexagon cell is generated by declaring the points on side of hexagon shape based on latitude-longitude coordinates system of earth. The path is further analyzed to find best path for UAV in term of least distance travelled and longest flight time or perpetual flight with most SOC state. Overall, the horizontal systematic path pattern emerges as the best systematic path pattern as for the horizontal path pattern the percentage of usage is the highest which at 88% compared to diagonal path pattern which only at 12%.
format Monograph
author Wahab, Abdul Aniq Aqil Abd
author_facet Wahab, Abdul Aniq Aqil Abd
author_sort Wahab, Abdul Aniq Aqil Abd
title Global Path Planning For Solar-Powered Uav
title_short Global Path Planning For Solar-Powered Uav
title_full Global Path Planning For Solar-Powered Uav
title_fullStr Global Path Planning For Solar-Powered Uav
title_full_unstemmed Global Path Planning For Solar-Powered Uav
title_sort global path planning for solar-powered uav
publisher Universiti Sains Malaysia
publishDate 2021
url http://eprints.usm.my/54491/1/Global%20Path%20Planning%20For%20Solar-Powered%20Uav.pdf
http://eprints.usm.my/54491/
_version_ 1744354431145607168
score 13.211869

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