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Design an Autonomous Navigation and ...

Ramos, Rikki Jo,

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Design an Autonomous Navigation and Communication System for an Unmanned Surface Vehicle to Enhance Oil Spill Sampling Efficiency // Rikki Jo Ramos.
作者:	Ramos, Rikki Jo,
面頁冊數:	1 electronic resource (110 pages)
附註:	Source: Masters Abstracts International, Volume: 85-12.
Contained By:	Masters Abstracts International85-12.
標題:	Engineering. -
電子資源:	https://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:

586835
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 /
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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 586835
650 4 $a Environmental engineering. $3 548583
650 4 $a Industrial engineering. $3 526216
650 4 $a Geographic information science. $3 3432445
650 4 $a Automotive engineering. $3 2181195
653 $a Autonomous maritime systems
653 $a Navigation
653 $a Oil spill
653 $a Proportional-Integral-Derivative
653 $a Unmanned surface vehicle
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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. $e degree granting institution. $3 3820012
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
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