Motion minimization of AUVs for improved imaging sensor performance beneath a seaway

R. S. Peterson, T. Nguyen, R. R. Rodriguez
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引用次数: 5

Abstract

This paper summarizes the evaluation of methods for minimizing adverse autonomous underwater vehicle (AUY) motions which degrade imaging sensor performance in the highly energetic, littoral environment. The effort required the development and validation of an advanced wave force model capable of predicting wave forces and vehicle motions in the time-domain, in very shallow water, and near the surface. A range of operational, geometric, and active control motion minimization concepts were proposed, and a subset was quantitatively evaluated in this study: 1) AUV heading relative to the seas, and 2) the use of bowplanes. Results of the study show that the use of bowplanes on the proposed AUV can eliminate the majority of the adverse pitch and heave motions.
水下机器人的运动最小化,以改善航道下成像传感器的性能
本文总结了在高能量的沿海环境中最小化自动水下航行器(AUY)不利运动的评估方法,这些运动会降低成像传感器的性能。这项工作需要开发和验证一种先进的波浪力模型,该模型能够在时域、浅水和近水面预测波浪力和车辆运动。提出了一系列操作、几何和主动控制运动最小化的概念,并在本研究中定量评估了一个子集:1)AUV相对于海洋的航向,以及2)船首飞机的使用。研究结果表明,在水下航行器上使用船首飞机可以消除大部分不利的俯仰和升沉运动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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