蒙特雷湾多auv控制与自适应采样

E. Fiorelli, Naomi Ehrich Leonard, Pradeep Bhatta, Derek A. Paley, Ralf Bachmayer, David M. Fratantoni
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引用次数: 35

摘要

多auv作业提供了多种水下应用。有了传感器来测量环境和协调,适合于关键的空间和时间尺度,该小组可以执行重要的任务,如自适应海洋采样。提出了一种基于虚拟身体和人工潜能(VBAP)的多车协同控制方法。该方法允许自适应编队控制,可用于不确定环境中的梯度爬坡和特征跟踪等任务。我们讨论了我们在自主水下滑翔机舰队上的实现,并介绍了2003年8月在蒙特利湾进行的海上试验的结果。这些海上演示是自主海洋采样网络(AOSN) II项目的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-AUV control and adaptive sampling in Monterey Bay
Multi-AUV operations have much to offer a variety of underwater applications. With sensors to measure the environment and coordination that is appropriate to critical spatial and temporal scales, the group can perform important tasks such as adaptive ocean sampling. We describe a methodology for cooperative control of multiple vehicles based on virtual bodies and artificial potentials (VBAP). This methodology allows for adaptable formation control and can be used for missions such as gradient climbing and feature tracking in an uncertain environment. We discuss our implementation on a fleet of autonomous underwater gliders and present results from sea trials in Monterey Bay in August 2003. These at-sea demonstrations were performed as part of the Autonomous Ocean Sampling Network (AOSN) II project.
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