当前位置: X-MOL 学术IEEE J. Ocean. Eng. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Station-Keeping Underwater Gliders Using a Predictive Ocean Circulation Model and Applications to SWOT Calibration and Validation
IEEE Journal of Oceanic Engineering ( IF 4.1 ) Pub Date : 2020-04-01 , DOI: 10.1109/joe.2018.2886092
Evan B. Clark , Andrew Branch , Steve Chien , Faiz Mirza , John D. Farrara , Yi Chao , David Fratantoni , David Aragon , Oscar Schofield , Mar M. Flexas , Andrew Thompson

Instrumented ocean moorings are the gold standard for gathering in situ measurements at a fixed location in the ocean. Because they require installation by a ship and must be secured to the seafloor, moorings are expensive, logistically difficult to deploy and maintain, and are constrained to one location once installed. To circumvent these issues, previous studies have attempted to utilize autonomous underwater gliders as platforms for virtual moorings, but these attempts have yielded comparatively large station-keeping errors due to the difficulty of glider control in dynamic ocean currents. We implemented an adaptive planner using a vehicle motion model and a predictive ocean circulation model to improve station-keeping performance by incorporating anticipated currents into glider control. We demonstrate improved station-keeping performance using our planner in both simulation and in-field deployment results, and report smaller average station-keeping error than the Monterey Bay Aquarium Research Institute's M1 mooring. Finally, we utilize our simulation framework to conduct a feasibility study on using an array of autonomous gliders as virtual moorings to conduct critical calibration and validation (CalVal) for the upcoming National Aeronautics and Space Administration, Surface Water and Ocean Topography (SWOT) Mission, instead of using permanent moorings. We show that this approach carries several advantages and has potential to meet the SWOT CalVal objectives.

中文翻译:

使用预测性海洋环流模型和 SWOT 校准和验证的应用程序保持站的水下滑翔机

仪表化海洋系泊设备是在海洋固定位置收集原位测量数据的黄金标准。因为它们需要由船安装并且必须固定在海底,所以系泊设备价格昂贵,部署和维护在后勤上很困难,并且一旦安装就被限制在一个位置。为了规避这些问题,之前的研究试图利用自主水下滑翔机作为虚拟系泊平台,但由于滑翔机在动态洋流中难以控制,这些尝试产生了相对较大的定位误差。我们使用车辆运动模型和预测海洋环流模型实施了自适应规划器,通过将预期的水流纳入滑翔机控制来提高站点保持性能。我们在模拟和现场部署结果中使用我们的规划器展示了改进的站点保持性能,并报告了比蒙特雷湾水族馆研究所的 M1 系泊设备更小的平均站点保持误差。最后,我们利用我们的模拟框架对使用一系列自主滑翔机作为虚拟系泊设备进行可行性研究,为即将到来的美国国家航空航天局、地表水和海洋地形 (SWOT) 任务进行关键校准和验证 (CalVal),而不是使用永久系泊。我们表明这种方法具有多种优势,并且有可能满足 SWOT CalVal 目标。s M1 系泊。最后,我们利用我们的模拟框架对使用一系列自主滑翔机作为虚拟系泊设备进行可行性研究,为即将到来的美国国家航空航天局、地表水和海洋地形 (SWOT) 任务进行关键校准和验证 (CalVal),而不是使用永久系泊。我们表明这种方法具有多种优势,并且有可能满足 SWOT CalVal 目标。s M1 系泊。最后,我们利用我们的模拟框架对使用一系列自主滑翔机作为虚拟系泊设备进行可行性研究,为即将到来的美国国家航空航天局、地表水和海洋地形 (SWOT) 任务进行关键校准和验证 (CalVal),而不是使用永久系泊。我们表明这种方法具有多种优势,并且有可能满足 SWOT CalVal 目标。
更新日期:2020-04-01
down
wechat
bug