Abstract

This paper proposes a method based on simulation techniques for fluctuation characterizations of unmanned surface vehicle (USV) operations under Sea State 3. In order to simulate the operations of a USV in Sea State 3, we generated the data of sea surfaces using linear wave theory and utilized the motion equation. Fluctuation analysis results by the proposed simulation method could provide crucial information for designing the stabilization system for the critical equipment on a USV. Through these works, it was verified that the design specifications such as range of motion, maximum speed, and acceleration could be estimated using the simulation data.

Highlights

  • An unmanned surface vehicle (USV) refers to an object that moves autonomously or is remotely operated on the sea surface without requiring crewmen [1]

  • This study proposed a simulation-based process that derives target specifications required in the stabilization system of a USV for the design of special mission equipment under specified sea conditions

  • The sea environment was replicated for the specified sea state using a linear superposition of waves proposed by linear wave theory

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Summary

Introduction

An unmanned surface vehicle (USV) refers to an object that moves autonomously or is remotely operated on the sea surface without requiring crewmen [1]. It is extremely important to assess the characteristics of disruptions that are applied to USVs through the influence of waves at the maximum operational speed and the sea state, to stabilize these conditions [2, 3]. For this purpose, it is necessary to obtain information about the fluctuation characteristics in the specified sea state condition. This study proposes a method to estimate the characteristics with respect to the fluctuations and disturbances that occur during a USV-operation simulation at Sea State 3 conditions. In the conclusion, a plan for utilizing the study results and directions for future development is presented

Generation of Sea Surface Data for Sea State 3
Estimation of USV Motion at Sea
USV Simulation under Sea State 3
Conclusions
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