國立虎尾科技大學 |

Design an Autonomous Navigation and Communication System for an Unmanned Surface Vehicle to Enhance Oil Spill Sampling Efficiency /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Design an Autonomous Navigation and Communication System for an Unmanned Surface Vehicle to Enhance Oil Spill Sampling Efficiency // Rikki Jo Ramos.
Author:	Ramos, Rikki Jo,
Description:	1 electronic resource (110 pages)
Notes:	Source: Masters Abstracts International, Volume: 85-12.
Contained By:	Masters Abstracts International85-12.
Subject:	Engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31302390
ISBN:	9798383169049

Design an Autonomous Navigation and Communication System for an Unmanned Surface Vehicle to Enhance Oil Spill Sampling Efficiency /
Ramos, Rikki Jo,

Design an Autonomous Navigation and Communication System for an Unmanned Surface Vehicle to Enhance Oil Spill Sampling Efficiency /Rikki Jo Ramos. - 1 electronic resource (110 pages)

Source: Masters Abstracts International, Volume: 85-12.

The demand for precise marine navigation for tasks like offshore oil sampling has driven advancements in unmanned surface vehicles (USVs) equipped with cutting-edge technologies. This thesis details the design and development of a GIS-enhanced autonomous navigation system for a USV, aiming to significantly improve navigational accuracy and efficiency in marine environments. By integrating Geographic Information Systems (GIS), advanced algorithms, and a Proportional-Integral-Derivative (PID) controller, the system processes coordinates effectively to overcome challenges like communication range and environmental factors. To quantify the system's performance, control metrics such as navigational accuracy, adaptability to environmental changes, and system stability were comprehensively evaluated through simulations reflecting various environmental conditions, like wind and waves. These tests confirmed the system's ability to maintain accurate trajectories under diverse conditions, demonstrating notable adaptability and stability, without manual corrections or real-time updates. Consequently, this reduces dependency on external inputs. This research not only addresses current technological demands but also lays the groundwork for future autonomous maritime systems, marking a pivotal step towards sophisticated, reliable navigation solutions.

English

ISBN: 9798383169049Subjects--Topical Terms:

561152
Engineering.
Subjects--Index Terms:

Autonomous maritime systems

Design an Autonomous Navigation and Communication System for an Unmanned Surface Vehicle to Enhance Oil Spill Sampling Efficiency /
LDR:02897nam a22004573i 4500 001 1157810
005 20250603111419.5
006 m o d
007 cr|nu||||||||
008 250804s2024 miu||||||m |||||||eng d
020 $a 9798383169049
035 $a (MiAaPQD)AAI31302390
035 $a AAI31302390
040 $a MiAaPQD $b eng $c MiAaPQD $e rda
100 1 $a Ramos, Rikki Jo, $e author. $3 1484085
245 1 0 $a Design an Autonomous Navigation and Communication System for an Unmanned Surface Vehicle to Enhance Oil Spill Sampling Efficiency / $c Rikki Jo Ramos.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 1 electronic resource (110 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 85-12.
500 $a Advisors: Li, Hua Committee members: Jin, Kai; Garcia, Oscar.
502 $b M.S. $c Texas A&M University - Kingsville $d 2024.
520 $a The demand for precise marine navigation for tasks like offshore oil sampling has driven advancements in unmanned surface vehicles (USVs) equipped with cutting-edge technologies. This thesis details the design and development of a GIS-enhanced autonomous navigation system for a USV, aiming to significantly improve navigational accuracy and efficiency in marine environments. By integrating Geographic Information Systems (GIS), advanced algorithms, and a Proportional-Integral-Derivative (PID) controller, the system processes coordinates effectively to overcome challenges like communication range and environmental factors. To quantify the system's performance, control metrics such as navigational accuracy, adaptability to environmental changes, and system stability were comprehensively evaluated through simulations reflecting various environmental conditions, like wind and waves. These tests confirmed the system's ability to maintain accurate trajectories under diverse conditions, demonstrating notable adaptability and stability, without manual corrections or real-time updates. Consequently, this reduces dependency on external inputs. This research not only addresses current technological demands but also lays the groundwork for future autonomous maritime systems, marking a pivotal step towards sophisticated, reliable navigation solutions.
546 $a English
590 $a School code: 1187
650 4 $a Engineering. $3 561152
650 4 $a Environmental engineering. $3 557376
650 4 $a Industrial engineering. $3 679492
650 4 $a Geographic information science. $3 1372545
650 4 $a Automotive engineering. $3 1104081
653 $a Autonomous maritime systems
653 $a Navigation
653 $a Oil spill
653 $a Proportional-Integral-Derivative
653 $a Unmanned surface vehicle
690 $a 0537
690 $a 0775
690 $a 0546
690 $a 0370
690 $a 0540
710 2 $a Texas A&M University - Kingsville. $b Mechanical and Industrial Engineering. $3 1187801
720 1 $a Li, Hua $e degree supervisor.
773 0 $t Masters Abstracts International $g 85-12.
790 $a 1187
791 $a M.S.
792 $a 2024
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31302390