Collaborative Research: Leveraging Fluid-Structure Interactions for Efficient Control in Geophysical Flows
合作研究:利用流固相互作用有效控制地球物理流
基本信息
- 批准号:2121919
- 负责人:
- 金额:$ 19.99万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-11-01 至 2024-10-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Microvehicles provide a low-cost platform for a variety of robotics and automation applications. Their excellent maneuverability, agility, and ability to operate in truly three-dimensional environments have enabled ubiquitous, low-cost sensors for a range of data collection and monitoring tasks. Recent developments in micro-aerial, ground, and marine vehicles have advanced in many exciting and high-profile ways. However, because of the vehicles' low weight and limited computational and power capacities, controlling them is more challenging since the motion of the vehicles is significantly impacted by the environments in which they operate. This award supports fundamental research needed to understand fluid-structure interactions, that is, how small vehicles in water or air move and react within a surrounding flow. The investigators will use these insights to establish a new paradigm for the design and control of low-cost microvehicles, resulting in more power-efficient systems and, thus, extending their lifetimes. The work is an interdisciplinary effort combining knowledge in fluid dynamics, control theory, and reconfiguration planning. It will improve navigation and monitoring of dynamic and uncertain environments, and will contribute fundamental knowledge in the areas of weather and climate prediction, environmental monitoring, fisheries science, and shipping, to name just a few, thus benefiting the U.S. economy and society. It will also provide opportunities for training interdisciplinary undergraduate and graduate students at the intersection of robotics and fluid dynamics.The main insight underlying this project is that small, resource-constrained vehicles can exploit their nearly limitless environmental forces to extend their own power budgets and operating lifetimes. In particular, by adjusting their morphologies, these vehicles can adapt their transport properties in a fluid environment and control their trajectories without active propulsion. Accomplishing this vision will require foundational science in dynamics and control to understand fluid-structure interactions in systems of vehicles that not only have volume and inertia, but can also reconfigure their shape. The project will make initial steps in this direction by: 1) characterizing the effect of aspect ratio and mass on a vehicle's passive transport properties and the inertial coherent structures underlying these complex dynamical systems; 2) synthesizing design and motion control strategies incorporating inertial effects and the underlying fluid-structure interactions; and 3) investigating the efficiency trade-offs between morphological reconfiguration and active propulsion in a variety of fluid flows. The knowledge and insights developed during the course of this program will expand the capabilities of micro-autonomous vehicles to perform long-term operations and will lay the groundwork for future innovations in the large-scale deployment of micro-machines.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
微型车为各种机器人和自动化应用提供了低成本平台。它们出色的可操作性、敏捷性和在真正三维环境中操作的能力使无处不在的低成本传感器能够执行一系列数据收集和监控任务。微型航空器、地面和海上运载工具的最新发展以许多令人兴奋和引人注目的方式取得了进展。然而,由于车辆重量轻,计算能力和动力能力有限,控制它们更具挑战性,因为车辆的运动受到其运行环境的显著影响。该奖项支持了解流体结构相互作用所需的基础研究,即水或空气中的小型车辆如何在周围流动中移动和反应。研究人员将利用这些见解为低成本微型汽车的设计和控制建立一个新的范式,从而产生更节能的系统,从而延长其使用寿命。这项工作是一个跨学科的努力结合在流体动力学,控制理论和重新配置规划的知识。它将改善动态和不确定环境的导航和监测,并将在天气和气候预测,环境监测,渔业科学和航运等领域提供基础知识,从而使美国经济和社会受益。该项目还将为培养跨学科的本科生和研究生提供机会,使他们能够在机器人和流体动力学的交叉领域工作。该项目的主要观点是,资源有限的小型车辆可以利用其几乎无限的环境力量来延长其自身的功率预算和使用寿命。特别是,通过调整它们的形态,这些飞行器可以在流体环境中调整它们的运输特性,并在没有主动推进的情况下控制它们的轨迹。实现这一愿景将需要动力学和控制方面的基础科学,以了解车辆系统中的流体-结构相互作用,这些车辆不仅具有体积和惯性,而且还可以重新配置其形状。该项目将在这一方向上采取初步措施:1)描述纵横比和质量对飞行器被动运输特性的影响以及这些复杂动力系统背后的惯性相干结构; 2)综合考虑惯性效应和潜在的流体-结构相互作用的设计和运动控制策略; 3)研究在各种流体流动中形态重构和主动推进之间的效率权衡。在该项目过程中开发的知识和见解将扩展微型自动驾驶车辆的长期运行能力,并为未来大规模部署微型机器的创新奠定基础。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Learning ocean circulation models with reservoir computing
通过水库计算学习海洋环流模型
- DOI:10.1063/5.0119061
- 发表时间:2022
- 期刊:
- 影响因子:4.6
- 作者:Yao, Kevin;Forgoston, Eric;Yecko, Philip
- 通讯作者:Yecko, Philip
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Eric Forgoston其他文献
An Experimental Testbed for Multi-Robot Tracking of Manifolds and Coherent Structures in Flows
流动中流形和相干结构的多机器人跟踪实验测试台
- DOI:
- 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
M. Michini;Kenneth Mallory;Dennis Larkin;M. A. Hsieh;Eric Forgoston;P. Yecko - 通讯作者:
P. Yecko
Distributed allocation of mobile sensing swarms in gyre flows
涡流中移动传感群的分布式分配
- DOI:
- 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
Kenneth Mallory;M. A. Hsieh;Eric Forgoston;I. Schwartz - 通讯作者:
I. Schwartz
Adaptive sampling and energy-efficient navigation in time-varying flows
时变流中的自适应采样和节能导航
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Tahiya Salam;D. Kularatne;Eric Forgoston;M. A. Hsieh - 通讯作者:
M. A. Hsieh
Initial-value problem for three-dimensional disturbances in a compressible boundary layer
可压缩边界层三维扰动的初值问题
- DOI:
- 发表时间:
2005 - 期刊:
- 影响因子:0
- 作者:
Eric Forgoston;A. Tumin - 通讯作者:
A. Tumin
Set-based corral control in stochastic dynamical systems: making almost invariant sets more invariant.
随机动力系统中基于集合的畜栏控制:使几乎不变的集合更加不变。
- DOI:
10.1063/1.3539836 - 发表时间:
2011 - 期刊:
- 影响因子:2.9
- 作者:
Eric Forgoston;L. Billings;P. Yecko;I. Schwartz - 通讯作者:
I. Schwartz
Eric Forgoston的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Eric Forgoston', 18)}}的其他基金
RUI: Stochastic Interactions: Understanding Invasion and Extinction in Ecological Systems
RUI:随机相互作用:了解生态系统中的入侵和灭绝
- 批准号:
1853610 - 财政年份:2019
- 资助金额:
$ 19.99万 - 项目类别:
Continuing Grant
Collaborative Research: Improved Vehicle Autonomy in Geophysical Flows
合作研究:提高地球物理流中的车辆自主性
- 批准号:
1462884 - 财政年份:2015
- 资助金额:
$ 19.99万 - 项目类别:
Standard Grant
RUI: Transport of inertial particles in time-dependent and stochastic flows
RUI:随时间变化的随机流中惯性粒子的传输
- 批准号:
1418956 - 财政年份:2014
- 资助金额:
$ 19.99万 - 项目类别:
Standard Grant
Understanding the Dynamics of Stochastic Disease Spread in Metapopulations
了解混合群体中随机疾病传播的动态
- 批准号:
1233397 - 财政年份:2012
- 资助金额:
$ 19.99万 - 项目类别:
Standard Grant
相似国自然基金
Research on Quantum Field Theory without a Lagrangian Description
- 批准号:24ZR1403900
- 批准年份:2024
- 资助金额:0.0 万元
- 项目类别:省市级项目
Cell Research
- 批准号:31224802
- 批准年份:2012
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Cell Research
- 批准号:31024804
- 批准年份:2010
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Cell Research (细胞研究)
- 批准号:30824808
- 批准年份:2008
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Research on the Rapid Growth Mechanism of KDP Crystal
- 批准号:10774081
- 批准年份:2007
- 资助金额:45.0 万元
- 项目类别:面上项目
相似海外基金
Collaborative Research: Leveraging the interactions between carbon nanomaterials and DNA molecules for mitigating antibiotic resistance
合作研究:利用碳纳米材料和 DNA 分子之间的相互作用来减轻抗生素耐药性
- 批准号:
2307222 - 财政年份:2024
- 资助金额:
$ 19.99万 - 项目类别:
Standard Grant
Collaborative Research: Leveraging the interactions between carbon nanomaterials and DNA molecules for mitigating antibiotic resistance
合作研究:利用碳纳米材料和 DNA 分子之间的相互作用来减轻抗生素耐药性
- 批准号:
2307223 - 财政年份:2024
- 资助金额:
$ 19.99万 - 项目类别:
Standard Grant
Collaborative Research: FET: Medium:Compact and Energy-Efficient Compute-in-Memory Accelerator for Deep Learning Leveraging Ferroelectric Vertical NAND Memory
合作研究:FET:中型:紧凑且节能的内存计算加速器,用于利用铁电垂直 NAND 内存进行深度学习
- 批准号:
2312886 - 财政年份:2023
- 资助金额:
$ 19.99万 - 项目类别:
Standard Grant
Collaborative Research: FET: Medium:Compact and Energy-Efficient Compute-in-Memory Accelerator for Deep Learning Leveraging Ferroelectric Vertical NAND Memory
合作研究:FET:中型:紧凑且节能的内存计算加速器,用于利用铁电垂直 NAND 内存进行深度学习
- 批准号:
2312884 - 财政年份:2023
- 资助金额:
$ 19.99万 - 项目类别:
Standard Grant
Collaborative Research: SPARC: Conducting Collaborative Research and Leveraging Resources to Advance Spatial Archaeometry
协作研究:SPARC:开展协作研究并利用资源推进空间考古学
- 批准号:
2309809 - 财政年份:2023
- 资助金额:
$ 19.99万 - 项目类别:
Standard Grant
Collaborative Research: SaTC: CORE: Small: Understanding the Limitations of Wireless Network Security Designs Leveraging Wireless Properties: New Threats and Defenses in Practice
协作研究:SaTC:核心:小型:了解利用无线特性的无线网络安全设计的局限性:实践中的新威胁和防御
- 批准号:
2316720 - 财政年份:2023
- 资助金额:
$ 19.99万 - 项目类别:
Standard Grant
Collaborative Research: Leveraging Crowd-AI Teams for Scalable Novelty Ratings of Heterogeneous Design Representations
协作研究:利用群体人工智能团队对异构设计表示进行可扩展的新颖性评级
- 批准号:
2231254 - 财政年份:2023
- 资助金额:
$ 19.99万 - 项目类别:
Standard Grant
Collaborative Research: Leveraging Crowd-AI Teams for Scalable Novelty Ratings of Heterogeneous Design Representations
协作研究:利用群体人工智能团队对异构设计表示进行可扩展的新颖性评级
- 批准号:
2231261 - 财政年份:2023
- 资助金额:
$ 19.99万 - 项目类别:
Standard Grant
Collaborative Research: Promoting Children's Learning About Biological Variability by Leveraging Simple Card Games
合作研究:利用简单的纸牌游戏促进儿童了解生物变异性
- 批准号:
2300602 - 财政年份:2023
- 资助金额:
$ 19.99万 - 项目类别:
Continuing Grant
Collaborative Research: Towards Engaged, Personalized and Transferable Learning of Secure Programming by Leveraging Real-World Security Vulnerabilities
协作研究:利用现实世界的安全漏洞实现安全编程的参与式、个性化和可转移学习
- 批准号:
2235976 - 财政年份:2023
- 资助金额:
$ 19.99万 - 项目类别:
Standard Grant