Note
Includes bibliography.
Member of
Contributors
Publisher
Florida Atlantic University
Date Issued
2017
EDTF Date Created
2017
Description
The primary objective of this research is to investigate the viability of magnetic
anomaly localization with an autonomous underwater vehicle, using a genetic algorithm
(GA). The localization method, first proposed by Sheinker. et al. 2008, is optimized here
for the case of a moving platform. Extensive magnetic field modeling and algorithm
simulation has been conducted and yields promising results. Field testing of the method is
conducted with the use of the Ocean Floor Geophysics Self-Compensating Magnetometer
(SCM). Extensive out-of-water field testing is conducted to validate the ability to
measure a target signal in a uniform NED frame as well as to validate the effectiveness of
the GA. The outcome of the simulation closely matches the results of the conducted field
tests. Additionally, the SCM is fully integrated with FAU’s Remus 100 AUV and
preliminary in-water testing of the system has been conducted.
anomaly localization with an autonomous underwater vehicle, using a genetic algorithm
(GA). The localization method, first proposed by Sheinker. et al. 2008, is optimized here
for the case of a moving platform. Extensive magnetic field modeling and algorithm
simulation has been conducted and yields promising results. Field testing of the method is
conducted with the use of the Ocean Floor Geophysics Self-Compensating Magnetometer
(SCM). Extensive out-of-water field testing is conducted to validate the ability to
measure a target signal in a uniform NED frame as well as to validate the effectiveness of
the GA. The outcome of the simulation closely matches the results of the conducted field
tests. Additionally, the SCM is fully integrated with FAU’s Remus 100 AUV and
preliminary in-water testing of the system has been conducted.
Language
Type
Form
Extent
105 p.
Subject (Topical)
Identifier
FA00005948
Additional Information
Includes bibliography.
Thesis (M.S.)--Florida Atlantic University, 2017.
FAU Electronic Theses and Dissertations Collection
Date Backup
2017
Date Created Backup
2017
Date Text
2017
Date Created (EDTF)
2017
Date Issued (EDTF)
2017
Extension
FAU
FAU
IID
FA00005948
Organizations
Attributed name: Florida Atlantic University
Attributed name: College of Engineering and Computer Science
Attributed name: Department of Ocean and Mechanical Engineering
Person Preferred Name
Philippeaux, Harryel Arsene
author
Graduate College
Physical Description
application/pdf
105 p.
Title Plain
Real-Time Localization of a Magnetic Anomaly: A Study of the Effectiveness of a Genetic Algorithm for Implementation on an Autonomous Underwater Vehicle
Use and Reproduction
Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
http://rightsstatements.org/vocab/InC/1.0/
Origin Information
2017
2017
Florida Atlantic University
Boca Raton, Fla.
Physical Location
Florida Atlantic University Libraries
Place
Boca Raton, Fla.
Sub Location
Digital Library
Title
Real-Time Localization of a Magnetic Anomaly: A Study of the Effectiveness of a Genetic Algorithm for Implementation on an Autonomous Underwater Vehicle
Other Title Info
Real-Time Localization of a Magnetic Anomaly: A Study of the Effectiveness of a Genetic Algorithm for Implementation on an Autonomous Underwater Vehicle