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Safety Airway for Small Unmanned Aerial Vehicles Using a Gas Particles Behavior Analogy.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Safety Airway for Small Unmanned Aerial Vehicles Using a Gas Particles Behavior Analogy./
作者:	Rangel, Pablo.
面頁冊數:	1 online resource (200 pages)
附註:	Source: Dissertation Abstracts International, Volume: 78-11(E), Section: B.
標題:	Robotics. -
電子資源:	click for full text (PQDT)
ISBN:	9780355035728

Safety Airway for Small Unmanned Aerial Vehicles Using a Gas Particles Behavior Analogy.
Rangel, Pablo.

Safety Airway for Small Unmanned Aerial Vehicles Using a Gas Particles Behavior Analogy. - 1 online resource (200 pages)

Source: Dissertation Abstracts International, Volume: 78-11(E), Section: B.

Thesis (Ph.D.)--The University of Texas at El Paso, 2017.

Includes bibliographical references

The United States Federal Aviation Administration (FAA) implemented the Part 107 legislation to allow the flight of Unmanned Aerial Vehicles (UAV) for commercial use (i.e. package deliveries, power transmission line inspections, etc.) in the National Airspace System (NAS). As a consequence of the newly introduced rules, there is an increased risk for accidents involving injured bystanders or damaged to property. The work within this document defines a UAV to UAV safety distance model that acts as a range sensor enabled "elastic bubble". The length of the UAV safety bubble contracts and expands upon changing airway wind speed conditions. It also adds manufacturer safety distance recommendations as an extra layer of security. The error safety distance equation is expected to mitigate critical UAV operation errors into collision. That model is also a building block for a UAV risk mitigation equation obtained by using the mechanical behavior of gas particles as an analogy. That equation identifies degrees of risk within different airway volume configurations. The weighted risk parameters that drive the risk mitigation equation are: 1)UAV safety distance error due to wind conditions, 2)impact of increase number of contained UAVs, and 3) maximum system failure rates per flight hour to meet ground Target Level of Safety (third party casualty risk). The proposed work seeks to support the implementation of a safe Beyond Visual Line-of-Sight (BVLOS) coordinated Unmanned Aircraft System (UAS) airway among other applications.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355035728Subjects--Topical Terms:

561941
Robotics.
Index Terms--Genre/Form:

554714
Electronic books.

Safety Airway for Small Unmanned Aerial Vehicles Using a Gas Particles Behavior Analogy.
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500 $a Source: Dissertation Abstracts International, Volume: 78-11(E), Section: B.
500 $a Adviser: Virgilio E. Gonzalez.
502 $a Thesis (Ph.D.)--The University of Texas at El Paso, 2017.
504 $a Includes bibliographical references
520 $a The United States Federal Aviation Administration (FAA) implemented the Part 107 legislation to allow the flight of Unmanned Aerial Vehicles (UAV) for commercial use (i.e. package deliveries, power transmission line inspections, etc.) in the National Airspace System (NAS). As a consequence of the newly introduced rules, there is an increased risk for accidents involving injured bystanders or damaged to property. The work within this document defines a UAV to UAV safety distance model that acts as a range sensor enabled "elastic bubble". The length of the UAV safety bubble contracts and expands upon changing airway wind speed conditions. It also adds manufacturer safety distance recommendations as an extra layer of security. The error safety distance equation is expected to mitigate critical UAV operation errors into collision. That model is also a building block for a UAV risk mitigation equation obtained by using the mechanical behavior of gas particles as an analogy. That equation identifies degrees of risk within different airway volume configurations. The weighted risk parameters that drive the risk mitigation equation are: 1)UAV safety distance error due to wind conditions, 2)impact of increase number of contained UAVs, and 3) maximum system failure rates per flight hour to meet ground Target Level of Safety (third party casualty risk). The proposed work seeks to support the implementation of a safe Beyond Visual Line-of-Sight (BVLOS) coordinated Unmanned Aircraft System (UAS) airway among other applications.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Robotics. $3 561941
650 4 $a Electrical engineering. $3 596380
650 4 $a Computer engineering. $3 569006
655 7 $a Electronic books. $2 local $3 554714
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710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a The University of Texas at El Paso. $b Electrical Eng.. $3 1186964
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