Mission Oriented Multi-Prop UAV Analysis Using Statistical Design Trends
This paper presents a methodology for the sizing and preliminary analysis of Multi-Prop UAVs. The methodology is founded on design trends that emerge from a vast and unique database that has been collected for such vehicles. The database includes geometry parameters, components’ weight, the power re...
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Format: | Article |
Language: | English |
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MDPI AG
2021-10-01
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Series: | Aerospace |
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Online Access: | https://www.mdpi.com/2226-4310/8/11/321 |
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author | Omri Rand Vladimir Khromov |
author_facet | Omri Rand Vladimir Khromov |
author_sort | Omri Rand |
collection | DOAJ |
description | This paper presents a methodology for the sizing and preliminary analysis of Multi-Prop UAVs. The methodology is founded on design trends that emerge from a vast and unique database that has been collected for such vehicles. The database includes geometry parameters, components’ weight, the power required, and flight performance estimation. For a given mission, the analysis enables optimization of a specific design of a Multi-Prop configuration for either minimal weight or minimal dimensions. As opposed to low-order and relatively simple analyses that are typically used in early design stages, the results presented in this paper include design trends and correlations within existing flying configurations and, therefore, contain many design constraints that typically emerge only during advanced stages of the design process. |
first_indexed | 2024-03-10T05:48:07Z |
format | Article |
id | doaj.art-733234213ed64006b44be5f7db165e96 |
institution | Directory Open Access Journal |
issn | 2226-4310 |
language | English |
last_indexed | 2024-03-10T05:48:07Z |
publishDate | 2021-10-01 |
publisher | MDPI AG |
record_format | Article |
series | Aerospace |
spelling | doaj.art-733234213ed64006b44be5f7db165e962023-11-22T21:57:37ZengMDPI AGAerospace2226-43102021-10-0181132110.3390/aerospace8110321Mission Oriented Multi-Prop UAV Analysis Using Statistical Design TrendsOmri Rand0Vladimir Khromov1Faculty of Aerospace Engineering, Technion-Israel Institute of Technology, Haifa 32000, IsraelFaculty of Aerospace Engineering, Technion-Israel Institute of Technology, Haifa 32000, IsraelThis paper presents a methodology for the sizing and preliminary analysis of Multi-Prop UAVs. The methodology is founded on design trends that emerge from a vast and unique database that has been collected for such vehicles. The database includes geometry parameters, components’ weight, the power required, and flight performance estimation. For a given mission, the analysis enables optimization of a specific design of a Multi-Prop configuration for either minimal weight or minimal dimensions. As opposed to low-order and relatively simple analyses that are typically used in early design stages, the results presented in this paper include design trends and correlations within existing flying configurations and, therefore, contain many design constraints that typically emerge only during advanced stages of the design process.https://www.mdpi.com/2226-4310/8/11/321design trendsMulti-Prop UAVsrotary-wingpreliminary designMission Oriented Design |
spellingShingle | Omri Rand Vladimir Khromov Mission Oriented Multi-Prop UAV Analysis Using Statistical Design Trends Aerospace design trends Multi-Prop UAVs rotary-wing preliminary design Mission Oriented Design |
title | Mission Oriented Multi-Prop UAV Analysis Using Statistical Design Trends |
title_full | Mission Oriented Multi-Prop UAV Analysis Using Statistical Design Trends |
title_fullStr | Mission Oriented Multi-Prop UAV Analysis Using Statistical Design Trends |
title_full_unstemmed | Mission Oriented Multi-Prop UAV Analysis Using Statistical Design Trends |
title_short | Mission Oriented Multi-Prop UAV Analysis Using Statistical Design Trends |
title_sort | mission oriented multi prop uav analysis using statistical design trends |
topic | design trends Multi-Prop UAVs rotary-wing preliminary design Mission Oriented Design |
url | https://www.mdpi.com/2226-4310/8/11/321 |
work_keys_str_mv | AT omrirand missionorientedmultipropuavanalysisusingstatisticaldesigntrends AT vladimirkhromov missionorientedmultipropuavanalysisusingstatisticaldesigntrends |