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Development and Verification of Flight Data Informed Performance Estimation and Prediction Simulation Tool for Small Electrical Multi-Rotor UAV.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Development and Verification of Flight Data Informed Performance Estimation and Prediction Simulation Tool for Small Electrical Multi-Rotor UAV./
Author:	Borelle, Nicholas Scott.
Description:	1 online resource (124 pages)
Notes:	Source: Masters Abstracts International, Volume: 84-05.
Contained By:	Masters Abstracts International84-05.
Subject:	Aircraft. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29731018click for full text (PQDT)
ISBN:	9798352975374

Development and Verification of Flight Data Informed Performance Estimation and Prediction Simulation Tool for Small Electrical Multi-Rotor UAV.
Borelle, Nicholas Scott.

Development and Verification of Flight Data Informed Performance Estimation and Prediction Simulation Tool for Small Electrical Multi-Rotor UAV. - 1 online resource (124 pages)

Source: Masters Abstracts International, Volume: 84-05.

Thesis (M.Sc.)--West Virginia University, 2022.

Includes bibliographical references

While small scale multi-rotor aircraft are becoming an increasingly large market with applications emerging every day, their ability to have both a high endurance/long range and a high speed/performance flight is severely limited. This leads to uncertainty in mission planning and aircraft design, specifically when deciding mission length and available on-board energy. Uncertainty like this leads to an increased chance of failure to complete the mission, and a failure to recover the aircraft. Considering that these aircraft are used by everyone from hobbyists to commercial companies to military personnel, the applications and missions being flown carry importance and a serious financial commitment. Such a commitment is difficult to look past for any party utilizing these versatile systems.The main objective of the research contained within this thesis is to create a tool, a simulation, that can be utilized in reducing the chance of a failed mission occurring. This is achieved by testing the lithium-based battery for discharge rates and the motor/propeller combination for performance characteristics. Then taking the performance information from the tests in combination with basic flight equations to create a virtual representation of a small-scale multi-rotor unmanned aerial vehicle (UAV). This simulated aircraft can be used to design a mission for a small electric multi-rotor platform to complete. These missions ultimately determine if a mission is capable of being completed and if the aircraft can return home safely. Verification and accuracy of simulated missions were performed by comparing the flight data to a series of real-world flights using a multi-rotor UAV. Real-world flights were recreated within the simulation and the resulting flight profile, flight time, and energy consumption were compared and needed to be within an acceptable range of 5% error.This simulation proved itself capable of taking performance data and accurately estimating the performance of a multi-rotor UAV with an average percent error less than 5%. If developed further, this simulation could be the foundation of a more accurate and vital estimation tool in the future.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798352975374Subjects--Topical Terms:

832698
Aircraft.
Index Terms--Genre/Form:

542853
Electronic books.

Development and Verification of Flight Data Informed Performance Estimation and Prediction Simulation Tool for Small Electrical Multi-Rotor UAV.
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245 1 0 $a Development and Verification of Flight Data Informed Performance Estimation and Prediction Simulation Tool for Small Electrical Multi-Rotor UAV.
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500 $a Source: Masters Abstracts International, Volume: 84-05.
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502 $a Thesis (M.Sc.)--West Virginia University, 2022.
504 $a Includes bibliographical references
520 $a While small scale multi-rotor aircraft are becoming an increasingly large market with applications emerging every day, their ability to have both a high endurance/long range and a high speed/performance flight is severely limited. This leads to uncertainty in mission planning and aircraft design, specifically when deciding mission length and available on-board energy. Uncertainty like this leads to an increased chance of failure to complete the mission, and a failure to recover the aircraft. Considering that these aircraft are used by everyone from hobbyists to commercial companies to military personnel, the applications and missions being flown carry importance and a serious financial commitment. Such a commitment is difficult to look past for any party utilizing these versatile systems.The main objective of the research contained within this thesis is to create a tool, a simulation, that can be utilized in reducing the chance of a failed mission occurring. This is achieved by testing the lithium-based battery for discharge rates and the motor/propeller combination for performance characteristics. Then taking the performance information from the tests in combination with basic flight equations to create a virtual representation of a small-scale multi-rotor unmanned aerial vehicle (UAV). This simulated aircraft can be used to design a mission for a small electric multi-rotor platform to complete. These missions ultimately determine if a mission is capable of being completed and if the aircraft can return home safely. Verification and accuracy of simulated missions were performed by comparing the flight data to a series of real-world flights using a multi-rotor UAV. Real-world flights were recreated within the simulation and the resulting flight profile, flight time, and energy consumption were compared and needed to be within an acceptable range of 5% error.This simulation proved itself capable of taking performance data and accurately estimating the performance of a multi-rotor UAV with an average percent error less than 5%. If developed further, this simulation could be the foundation of a more accurate and vital estimation tool in the future.
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