Dissertation/Thesis Abstract

A High-Level Fuzzy Logic Guidance System for an Unmanned Surface Vehicle (USV) Tasked to Perform an Autonomous Launch and Recovery (ALR) of an Unmanned Underwater Vehicle (UUV)
by Pearson, David, M.S., Florida Atlantic University, 2014, 135; 1691783
Abstract (Summary)

There have been much technological advances and research in Unmanned Surface Vehicles (USV) as a support and delivery platform for Autonomous/Unmanned Underwater Vehicles (AUV/UUV). Advantages include extending underwater search and survey operations time and reach, improving underwater positioning and mission awareness, in addition to minimizing the costs and risks associated with similar manned vessel operations. The objective of this thesis is to present the design and development a high-level fuzzy logic guidance controller for a WAM-V 14 USV in order to autonomously launch and recover a REMUS 100 AUV.

The approach to meeting this objective is to develop ability for the USV to intercept and rendezvous with an AUV that is in transit in order to maximize the probability of a final mobile docking maneuver. Specifically, a fuzzy logic Rendezvous-Docking controller has been developed that generates Waypoint-Heading goals for the USV to minimize the cross-track errors between the USV and AUV. A subsequent fuzzy logic Waypoint-Heading controller has been developed to provide the desired heading and speed commands to the low-level controller given the Waypoint-Heading goals. High-level mission control has been extensively simulated using Matlab and partially characterized in real-time during testing. Detailed simulation, experimental results and findings will be reported in this paper.

Indexing (document details)
Advisor: An, Pak-Cheung Edgar
Commitee:
School: Florida Atlantic University
School Location: United States -- Florida
Source: MAI 54/04M(E), Masters Abstracts International
Source Type: DISSERTATION
Subjects: Ocean engineering, Robotics, Systems science
Keywords: Automomous recovery, Autonomous launch, Docking, Fuzzy logic, Rendevous, Unmanned surface vehicles, Unmanned underwater vehicles
Publication Number: 1691783
ISBN: 9781321665604
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