Establishing Autonomous AUS-Quadrotor

A Master of Science Thesis in Mechatronics Submitted by Younes Al Younes Entitled, "Establishing Autonomous AUS-Quadrotor," October 2009. Available are both Soft and Hard Copies of the Thesis.

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Main Author: Al Younes, Younes (author)
Format: doctoralThesis
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/11073/131
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author Al Younes, Younes
author_facet Al Younes, Younes
author_role author
dc.contributor.none.fl_str_mv Al Jarrah, Mohammad Amin
dc.creator.none.fl_str_mv Al Younes, Younes
dc.date.none.fl_str_mv 2009-10
2011-03-10T12:43:37Z
2011-03-10T12:43:37Z
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.identifier.none.fl_str_mv 35.232-2009.04
http://hdl.handle.net/11073/131
dc.language.none.fl_str_mv en_US
dc.subject.none.fl_str_mv Vertically rising aircraft
Design and construction
Vehicles, Remotely piloted
Remote control
Drone aircraft
dc.title.none.fl_str_mv Establishing Autonomous AUS-Quadrotor
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/doctoralThesis
description A Master of Science Thesis in Mechatronics Submitted by Younes Al Younes Entitled, "Establishing Autonomous AUS-Quadrotor," October 2009. Available are both Soft and Hard Copies of the Thesis.
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network_acronym_str aus
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oai_identifier_str oai:repository.aus.edu:11073/131
publishDate 2009
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spelling Establishing Autonomous AUS-QuadrotorAl Younes, YounesVertically rising aircraftDesign and constructionVehicles, Remotely pilotedRemote controlDrone aircraftA Master of Science Thesis in Mechatronics Submitted by Younes Al Younes Entitled, "Establishing Autonomous AUS-Quadrotor," October 2009. Available are both Soft and Hard Copies of the Thesis.Vertical takeoff and landing Unmanned Aerial Vehicles (VTOL-UAVs) are superior to their counterparts fixed wing UAVs for urban applications. The objective of this thesis is to establish a VTOL UAV platform to complement the ongoing research activities in the area of Autonomous cooperative multi-agent system at AUS. The chosen platform for this research is a commercial remotely controlled quadrotor. First, the mathematical model will be developed and flight simulator will be designed using Matlab/Simulink environment. The simulator will be used to develop attitude stabilization flight control laws taking into account simulated noisy inertial measurements. Then hover autopilots will be designed using classical PID and LQR controllers. These autopilots will be used to simulate basic trajectory tracking flights. These autopilots and subsequent trajectory generation and tracking will be used as a benchmark for developing nonlinear autopilots. The proposed nonlinear autopilots will be based on Adaptive Integral Backstepping Controller (AIBC) for controlling the quadrotor. The recursive Lyapunov methodology in the backstepping technique will ensure the system stability, the integral action will increase the system robustness against disturbances and model uncertainties, and the adaptation law will estimate the modeling errors caused by assumptions in simplifying the complexity of the quadrotor model. In addition, a Lyapunov-based Velocity Controller (LVC) is introduced to work side by side with the AIBC for hover and like-hover control. Fuzzy logic methodology will be investigated with the objective of boosting the performance of the AIBC by scheduling its parameters based on the state of the vehicle. Since the quadrotor is electrically powered, minimizing the control effort while keeping track of the trajectory will be investigated using least mean square algorithm. Furthermore, for path following the Tangent Heading Algorithm (THA) is proposed. To achieve the goals of this research one needs to develop in the process a Ground Control Station (GCS) for data logging, monitoring, and controlling the AUS quadrotor while performing its planned tasks. The system will be developed using hardware in the loop simulation to test and verify the development of the flight controls and the trajectory tracking ability. These simulations will validated through subsequent flight experiments.College of EngineeringMultidisciplinary ProgramsMaster of Science in Mechatronics Engineering (MSMTR)Al Jarrah, Mohammad Amin2011-03-10T12:43:37Z2011-03-10T12:43:37Z2009-10info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdfapplication/pdfapplication/pdf35.232-2009.04http://hdl.handle.net/11073/131en_USoai:repository.aus.edu:11073/1312025-06-26T12:33:23Z
spellingShingle Establishing Autonomous AUS-Quadrotor
Al Younes, Younes
Vertically rising aircraft
Design and construction
Vehicles, Remotely piloted
Remote control
Drone aircraft
status_str publishedVersion
title Establishing Autonomous AUS-Quadrotor
title_full Establishing Autonomous AUS-Quadrotor
title_fullStr Establishing Autonomous AUS-Quadrotor
title_full_unstemmed Establishing Autonomous AUS-Quadrotor
title_short Establishing Autonomous AUS-Quadrotor
title_sort Establishing Autonomous AUS-Quadrotor
topic Vertically rising aircraft
Design and construction
Vehicles, Remotely piloted
Remote control
Drone aircraft
url http://hdl.handle.net/11073/131