Design of an Automatic Landing System for the Meridian UAV using Fuzzy Logic
This document describes the design of an automatic landing system for the Meridian unmanned aerial vehicle (UAV) in development for glacial ice research. The Center for Remote Sensing of Ice Sheets (CReSIS), established by the National Science Foundation (NSF), will use the Meridian UAV to carry an...
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ftunivkansas:oai:kuscholarworks.ku.edu:1808/6290 2023-05-15T15:53:44+02:00 Design of an Automatic Landing System for the Meridian UAV using Fuzzy Logic Royer, David Andrew Keshmiri, Shahriar Downing, David Hale, Richard Ewing, Mark 2010 95 pages http://hdl.handle.net/1808/6290 http://dissertations.umi.com/ku:10895 EN eng University of Kansas http://dissertations.umi.com/ku:10895 http://hdl.handle.net/1808/6290 This item is protected by copyright and unless otherwise specified the copyright of this thesis/dissertation is held by the author. openAccess Aerospace engineering Autoland Fuzzy logic Sensitivity analysis Uav Wepilot Thesis 2010 ftunivkansas 2022-08-26T13:10:35Z This document describes the design of an automatic landing system for the Meridian unmanned aerial vehicle (UAV) in development for glacial ice research. The Center for Remote Sensing of Ice Sheets (CReSIS), established by the National Science Foundation (NSF), will use the Meridian UAV to carry an ice penetrating radar system with eight flat plate antennas attached underneath the wings of the aircraft. The autolanding system designed in this thesis is meant to increase the autonomy of the Meridian to eventually reach a fully autonomous system. A literature review of current research in automatic landing systems is presented. The Meridian UAV is modeled using Advanced Aircraft Analysis and Athena Vortex Lattice software; longitudinal and lateral state space models are developed and analyzed to evaluate the dynamic modes of the aircraft. A sensitivity analysis is performed evaluating the effect of changing Clβ, Cnβ, and CYβ on the aircraft dynamics to investigate the effects of eight flat plate antennas attached below the wings. Fuzzy logic is determined the ideal application for an automatic landing controller based on its ability to control uncertain and nonlinear systems. Using fuzzy logic, a longitudinal automatic landing controller is designed which uses high level commands through the wePilot2000 for aircraft control. Simulation shows the controller is promising for further research and eventual implementation with the wePilot2000 flight control system. Thesis Center for Remote Sensing of Ice Sheets (CReSIS) The University of Kansas: KU ScholarWorks |
institution |
Open Polar |
collection |
The University of Kansas: KU ScholarWorks |
op_collection_id |
ftunivkansas |
language |
English |
topic |
Aerospace engineering Autoland Fuzzy logic Sensitivity analysis Uav Wepilot |
spellingShingle |
Aerospace engineering Autoland Fuzzy logic Sensitivity analysis Uav Wepilot Royer, David Andrew Design of an Automatic Landing System for the Meridian UAV using Fuzzy Logic |
topic_facet |
Aerospace engineering Autoland Fuzzy logic Sensitivity analysis Uav Wepilot |
description |
This document describes the design of an automatic landing system for the Meridian unmanned aerial vehicle (UAV) in development for glacial ice research. The Center for Remote Sensing of Ice Sheets (CReSIS), established by the National Science Foundation (NSF), will use the Meridian UAV to carry an ice penetrating radar system with eight flat plate antennas attached underneath the wings of the aircraft. The autolanding system designed in this thesis is meant to increase the autonomy of the Meridian to eventually reach a fully autonomous system. A literature review of current research in automatic landing systems is presented. The Meridian UAV is modeled using Advanced Aircraft Analysis and Athena Vortex Lattice software; longitudinal and lateral state space models are developed and analyzed to evaluate the dynamic modes of the aircraft. A sensitivity analysis is performed evaluating the effect of changing Clβ, Cnβ, and CYβ on the aircraft dynamics to investigate the effects of eight flat plate antennas attached below the wings. Fuzzy logic is determined the ideal application for an automatic landing controller based on its ability to control uncertain and nonlinear systems. Using fuzzy logic, a longitudinal automatic landing controller is designed which uses high level commands through the wePilot2000 for aircraft control. Simulation shows the controller is promising for further research and eventual implementation with the wePilot2000 flight control system. |
author2 |
Keshmiri, Shahriar Downing, David Hale, Richard Ewing, Mark |
format |
Thesis |
author |
Royer, David Andrew |
author_facet |
Royer, David Andrew |
author_sort |
Royer, David Andrew |
title |
Design of an Automatic Landing System for the Meridian UAV using Fuzzy Logic |
title_short |
Design of an Automatic Landing System for the Meridian UAV using Fuzzy Logic |
title_full |
Design of an Automatic Landing System for the Meridian UAV using Fuzzy Logic |
title_fullStr |
Design of an Automatic Landing System for the Meridian UAV using Fuzzy Logic |
title_full_unstemmed |
Design of an Automatic Landing System for the Meridian UAV using Fuzzy Logic |
title_sort |
design of an automatic landing system for the meridian uav using fuzzy logic |
publisher |
University of Kansas |
publishDate |
2010 |
url |
http://hdl.handle.net/1808/6290 http://dissertations.umi.com/ku:10895 |
genre |
Center for Remote Sensing of Ice Sheets (CReSIS) |
genre_facet |
Center for Remote Sensing of Ice Sheets (CReSIS) |
op_relation |
http://dissertations.umi.com/ku:10895 http://hdl.handle.net/1808/6290 |
op_rights |
This item is protected by copyright and unless otherwise specified the copyright of this thesis/dissertation is held by the author. openAccess |
_version_ |
1766388931282075648 |