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Stability Control of Quadcopter.

Almomani, Nader D.

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Stability Control of Quadcopter.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Stability Control of Quadcopter./
Author:	Almomani, Nader D.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
Description:	119 p.
Notes:	Source: Masters Abstracts International, Volume: 85-01.
Contained By:	Masters Abstracts International85-01.
Subject:	Mechanical engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30424685
ISBN:	9798379915711

Stability Control of Quadcopter.
Almomani, Nader D.

Stability Control of Quadcopter. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 119 p.

Source: Masters Abstracts International, Volume: 85-01.

Thesis (M.S.)--Texas A&M University - Kingsville, 2023.

This item is not available from ProQuest Dissertations & Theses.

In recent years, unmanned aerial vehicles (UAVs) have received much attention due to their ability to perform dangerous tasks, save time, and be used in various fields. Among drones, the quadcopter with four rotors in one plane for versatile handling, hovering, vertical take-off and landing has emerged as the most popular design. Its simple mechanical design and ease of manufacture make it suitable for a wide range of applications including search and rescue, data collection, surveillance, border patrol, traffic monitoring, agriculture and military operations. However, quadcopters present control challenges because the system is highly nonlinear and unstable. In this study, we address these challenges by developing a controller for hover stabilization and investigating the feasibility of implementing a real-time flight control system to improve quadcopter performance. Simulations are performed using MATLAB/Simulink to evaluate the effectiveness of the controller in achieving the desired response. The results show that the DMRAC controller offers promising performance and robustness for quadcopter control, with potential implications for academia and industry in advancing the development of more reliable and efficient UAVs. This work lays a foundation for future research to refine and improve adaptive control methods that will ultimately help improve quadcopters and their diverse applications.

ISBN: 9798379915711Subjects--Topical Terms:

649730
Mechanical engineering.
Subjects--Index Terms:

Unmanned aerial vehicles

Stability Control of Quadcopter.
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245 1 0 $a Stability Control of Quadcopter.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2023
300 $a 119 p.
500 $a Source: Masters Abstracts International, Volume: 85-01.
500 $a Advisor: Ozcelik, Selahattin.
502 $a Thesis (M.S.)--Texas A&M University - Kingsville, 2023.
506 $a This item is not available from ProQuest Dissertations & Theses.
506 $a This item must not be sold to any third party vendors.
520 $a In recent years, unmanned aerial vehicles (UAVs) have received much attention due to their ability to perform dangerous tasks, save time, and be used in various fields. Among drones, the quadcopter with four rotors in one plane for versatile handling, hovering, vertical take-off and landing has emerged as the most popular design. Its simple mechanical design and ease of manufacture make it suitable for a wide range of applications including search and rescue, data collection, surveillance, border patrol, traffic monitoring, agriculture and military operations. However, quadcopters present control challenges because the system is highly nonlinear and unstable. In this study, we address these challenges by developing a controller for hover stabilization and investigating the feasibility of implementing a real-time flight control system to improve quadcopter performance. Simulations are performed using MATLAB/Simulink to evaluate the effectiveness of the controller in achieving the desired response. The results show that the DMRAC controller offers promising performance and robustness for quadcopter control, with potential implications for academia and industry in advancing the development of more reliable and efficient UAVs. This work lays a foundation for future research to refine and improve adaptive control methods that will ultimately help improve quadcopters and their diverse applications.
590 $a School code: 1187.
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650 4 $a Robotics. $3 519753
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653 $a Mechanical design
653 $a Quadcopters
690 $a 0548
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710 2 $a Texas A&M University - Kingsville. $b Mechanical and Industrial Engineering. $3 2092433
773 0 $t Masters Abstracts International $g 85-01.
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