Collaborative Research: RAPID: Autonomous Control and Sensing Algorithms for Surveying the Impacts of Oil Spills on Coastal Environments

合作研究:RAPID:用于调查溢油对沿海环境影响的自主控制和传感算法

基本信息

  • 批准号:
    1056253
  • 负责人:
  • 金额:
    $ 5.04万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2010
  • 资助国家:
    美国
  • 起止时间:
    2010-09-15 至 2011-08-31
  • 项目状态:
    已结题

项目摘要

This is collaborative research program between Louisiana State University (LSU) and the Georgia Institute of Technology (GT) to jointly develop theoretical and experimental methods to survey Louisiana estuaries, coastal wetlands, and lagoons under the influence of oil spills. The methods would be implemented on marine robots developed by student teams. More specifically, the following goals would be achieved: (a) Demonstrate the capabilities of marine robots to survey estuaries that are inaccessible, dangerous, or tedious when using conventional surveying methods. (b) Develop novel autonomous control and sensing algorithms that are specialized to surveying the impacts of oil spills on coastal environments, under the guidance of biologists, geologists, and oceanographers. (3) Implement the algorithms on marine robots, and perform surveys in estuaries under the impact of oil spills.Intellectual Merit: The proposed research would develop and implement innovative nonlinear mathematical control approaches to design of smart robots. The goal is to develop algorithms that are adaptive, fault tolerant, repeatable, and robust to time delays and uncertainty. The methods would include Krasovskii functionals for uncertain systems, and fusions of cooperative Kalman filtering and input-to-state stability. The team is referred to as Georgia Tech SavannahRobotics, currently includes twenty graduate and undergraduate students from the computer, electrical, and mechanical engineering departments. The student-developed marine robots support the development of novel robotic surveying algorithms in coastal regions, and would play a key role in the project.Broader Impacts: The proposed research has potential to provide mathematical foundation for the next generation of robots capable of working in Gulf of Mexico. The interaction between LSU math and GT engineering students would develop theory that is applicable to real world settings. LSU traditionally attracts many minority students, and special efforts would be made to involve members of under-represented groups. The work would also enhance the Georgia Tech students? educational experiences by increasing their exposure to more advanced mathematical methods.
这是路易斯安那州立大学(LSU)和格鲁吉亚理工学院(GT)之间的合作研究计划,旨在共同开发理论和实验方法,以调查受石油泄漏影响的路易斯安那河口、沿海湿地和泻湖。这些方法将在学生团队开发的海洋机器人上实施。更具体地说,将实现以下目标:(a)展示海洋机器人在使用传统测量方法无法进入、危险或繁琐的河口进行测量的能力。(b)在生物学家、地质学家和海洋学家的指导下,开发新的自主控制和传感算法,专门用于调查石油泄漏对沿海环境的影响。(3)在海洋机器人上实现算法,并在漏油影响下的河口进行调查。智力优势:拟议的研究将开发和实现创新的非线性数学控制方法,以设计智能机器人。我们的目标是开发算法,是自适应的,容错的,可重复的,鲁棒的时间延迟和不确定性。 这些方法将包括不确定系统的Krasovskii泛函,以及合作卡尔曼滤波和输入状态稳定性的融合。该团队被称为格鲁吉亚技术SavannahRobotics,目前包括来自计算机,电气和机械工程系的20名研究生和本科生。学生开发的海洋机器人支持沿海地区新型机器人测量算法的开发,并将在该项目中发挥关键作用。更广泛的影响:拟议的研究有可能为能够在墨西哥湾工作的下一代机器人提供数学基础。 路易斯安那州立大学数学和GT工程学生之间的互动将发展理论,适用于真实的世界设置。路易斯安那州立大学传统上吸引了许多少数民族学生,并将作出特别努力,使代表性不足的群体的成员。这项工作也将提高格鲁吉亚理工学院的学生?教育经验,增加他们接触更先进的数学方法。

项目成果

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Fumin Zhang其他文献

Rational engineering of triazine-benzene linked covalent-organic frameworks for efficient CO2 photoreduction
合理设计三嗪-苯连接的共价有机框架以实现有效的 CO2 光还原
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yanghe Fu;Yijing Gao;Huilin Jia;Yuncai Zhao;Yan Feng;Weidong Zhu;Fumin Zhang;Morris D. Argyle;Maohong Fan
  • 通讯作者:
    Maohong Fan
Boundary following by robot formations without GPS
机器人编队在没有 GPS 的情况下遵循边界
Catalytic hydrogenation of 2,3,5-trimethylbenzoquinone over Pd nanoparticles confined in the cages of MIL-101(Cr)
2,3,5-三甲基苯醌在 MIL-101(Cr) 笼中 Pd 纳米颗粒上的催化氢化
  • DOI:
    10.1016/j.cej.2013.11.003
  • 发表时间:
    2014-03
  • 期刊:
  • 影响因子:
    15.1
  • 作者:
    Xiaomin Zhao;Yan Jin;Fumin Zhang;Yijun Zhong;Weidong Zhu
  • 通讯作者:
    Weidong Zhu
Path-Guided Containment Maneuvering of Mobile Robots: Theory and Experiments
移动机器人的路径引导遏制操纵:理论与实验
Self-triggered three-dimensional coordinated path following of disk-type autonomous underwater gliders based on low-frequency learning fuzzy predictors
基于低频学习模糊预测器的盘式自主水下滑翔机自触发三维协调路径跟随
  • DOI:
    10.1016/j.oceaneng.2021.110104
  • 发表时间:
    2021-12
  • 期刊:
  • 影响因子:
    5
  • 作者:
    Haoliang Wang;Dan Wang;Fumin Zhang;Lu Liu;Tianlin Wang;Zhouhua Peng
  • 通讯作者:
    Zhouhua Peng

Fumin Zhang的其他文献

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{{ truncateString('Fumin Zhang', 18)}}的其他基金

S&AS: INT: COLLAB: Goal-driven Marine Autonomy with Application to Fisheries Science and Management
S
  • 批准号:
    1849228
  • 财政年份:
    2019
  • 资助金额:
    $ 5.04万
  • 项目类别:
    Standard Grant
I-Corps: Autonomous Indoor Blimps as Data Terminal for Internet of Things
I-Corps:作为物联网数据终端的自主室内飞艇
  • 批准号:
    1824233
  • 财政年份:
    2018
  • 资助金额:
    $ 5.04万
  • 项目类别:
    Standard Grant
Collaborative Research: Robustness of Networked Model Predictive Control under Scheduling Constraints
协作研究:调度约束下网络模型预测控制的鲁棒性
  • 批准号:
    1436284
  • 财政年份:
    2014
  • 资助金额:
    $ 5.04万
  • 项目类别:
    Standard Grant
RI: Small: Collaborative Research: Bio-inspired Collaborative Sensing with Novel Gliding Robotic Fish
RI:小型:协作研究:新型滑翔机器鱼的仿生协作传感
  • 批准号:
    1319874
  • 财政年份:
    2013
  • 资助金额:
    $ 5.04万
  • 项目类别:
    Continuing Grant
CAREER:Feasibility of Control Tasks---Towards Control-Computing-Power Co-Design
职业:控制任务的可行性——迈向控制-计算-能力协同设计
  • 批准号:
    0845333
  • 财政年份:
    2009
  • 资助金额:
    $ 5.04万
  • 项目类别:
    Standard Grant
CPS: Small: MPSoC based Control and Scheduling Co-design for Battery Powered Cyber-Physical Systems
CPS:小型:基于 MPSoC 的电池供电网络物理系统控制和调度协同设计
  • 批准号:
    0931576
  • 财政年份:
    2009
  • 资助金额:
    $ 5.04万
  • 项目类别:
    Standard Grant
SGER: Feasible control tasks on battery powered embedded computers
SGER:电池供电的嵌入式计算机上的可行控制任务
  • 批准号:
    0841195
  • 财政年份:
    2008
  • 资助金额:
    $ 5.04万
  • 项目类别:
    Standard Grant

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