Improving Resource Management for Unattended Observation of the Marginal Ice Zone Using Autonomous Underwater Gliders

Author:

Duguid Zachary,Camilli Richard

Abstract

We present control policies for use with a modified autonomous underwater glider that are intended to enable remote launch/recovery and long-range unattended survey of the Arctic's marginal ice zone (MIZ). This region of the Arctic is poorly characterized but critical to the dynamics of ice advance and retreat. Due to the high cost of operating support vessels in the Arctic, the proposed glider architecture minimizes external infrastructure requirements for navigation and mission updates to brief and infrequent satellite updates on the order of once per day. This is possible through intelligent power management in combination with hybrid propulsion, adaptive velocity control, and dynamic depth band selection based on real-time environmental state estimation. We examine the energy savings, range improvements, decreased communication requirements, and temporal consistency that can be attained with the proposed glider architecture and control policies based on preliminary field data, and we discuss a future MIZ survey mission concept in the Arctic. Although the sensing and control policies presented here focus on under ice missions with an unattended underwater glider, they are hardware independent and are transferable to other robotic vehicle classes, including in aerial and space domains.

Funder

National Aeronautics and Space Administration

Publisher

Frontiers Media SA

Subject

Artificial Intelligence,Computer Science Applications

Reference95 articles.

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. DVL-Based Odometry for Autonomous Underwater Gliders;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

2. Sailing efficiency optimization and experimental validation of a Petrel long-range autonomous underwater vehicle;Ocean Engineering;2023-08

3. Autosub Long Range 1500: A continuous 2000 km field trial;Ocean Engineering;2023-07

4. AUV Applications and Technologies of Deep Sea Exploration in the Arctic: A Review;Lecture Notes in Civil Engineering;2023

5. Towards Under-ice Sensing using a Portable ROV;OCEANS 2022, Hampton Roads;2022-10-17

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3