UAV Airspace Risk Assessment in Logistic Path Planning
碩士 === 國立成功大學 === 航空太空工程學系 === 105 === Unmanned aerial vehicles (UAV) have become an important part of aerial carrier for various missions. As for flight safety concerns, UAV has much less reliability and less stability compared to general categories of transportation passenger aircrafts. In order t...
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ndltd-TW-105NCKU52950492019-05-15T23:47:01Z http://ndltd.ncl.edu.tw/handle/7megb8 UAV Airspace Risk Assessment in Logistic Path Planning 無人機飛行路徑規劃的空域風險評估 Khara KarisiaDimpudus 杜愷若 碩士 國立成功大學 航空太空工程學系 105 Unmanned aerial vehicles (UAV) have become an important part of aerial carrier for various missions. As for flight safety concerns, UAV has much less reliability and less stability compared to general categories of transportation passenger aircrafts. In order to operate UAVs into National Airspace System (NAS), standard criteria are needed to show how the UAVs can be operated at a satisfactory level of safety. Based on the UAV development, it is difficult to establish an equivalent level of safety with the general categories of aircraft. Although the flight risk to the ground is relatively low, once any accident or failure happened, it may cause catastrophic crash even casualties to human life. This study uses a simulator to assess the crashing probability density and presents an adaptive set of the clearance region. The UAV specifications by different classifications, such as wing type, speed and altitudes when crashing happens for simulation. The crash scenarios of lose power, lose control, spiral drop and fuselage damage are simulated to find the probability of impact to ground objects and human beings. The results can be used to construct a UAV flight mission by combining with a path planning algorithm to keep off potentially high populated areas. The intended use of the tool is discussed and the adaptive clearance region is assessed by chosen UAVs. Chin E. Lin 林清一 2017 學位論文 ; thesis 73 en_US |
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碩士 === 國立成功大學 === 航空太空工程學系 === 105 === Unmanned aerial vehicles (UAV) have become an important part of aerial carrier for various missions. As for flight safety concerns, UAV has much less reliability and less stability compared to general categories of transportation passenger aircrafts. In order to operate UAVs into National Airspace System (NAS), standard criteria are needed to show how the UAVs can be operated at a satisfactory level of safety. Based on the UAV development, it is difficult to establish an equivalent level of safety with the general categories of aircraft. Although the flight risk to the ground is relatively low, once any accident or failure happened, it may cause catastrophic crash even casualties to human life. This study uses a simulator to assess the crashing probability density and presents an adaptive set of the clearance region. The UAV specifications by different classifications, such as wing type, speed and altitudes when crashing happens for simulation. The crash scenarios of lose power, lose control, spiral drop and fuselage damage are simulated to find the probability of impact to ground objects and human beings. The results can be used to construct a UAV flight mission by combining with a path planning algorithm to keep off potentially high populated areas. The intended use of the tool is discussed and the adaptive clearance region is assessed by chosen UAVs.
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author2 |
Chin E. Lin |
author_facet |
Chin E. Lin Khara KarisiaDimpudus 杜愷若 |
author |
Khara KarisiaDimpudus 杜愷若 |
spellingShingle |
Khara KarisiaDimpudus 杜愷若 UAV Airspace Risk Assessment in Logistic Path Planning |
author_sort |
Khara KarisiaDimpudus |
title |
UAV Airspace Risk Assessment in Logistic Path Planning |
title_short |
UAV Airspace Risk Assessment in Logistic Path Planning |
title_full |
UAV Airspace Risk Assessment in Logistic Path Planning |
title_fullStr |
UAV Airspace Risk Assessment in Logistic Path Planning |
title_full_unstemmed |
UAV Airspace Risk Assessment in Logistic Path Planning |
title_sort |
uav airspace risk assessment in logistic path planning |
publishDate |
2017 |
url |
http://ndltd.ncl.edu.tw/handle/7megb8 |
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