CAREER: Enabling Methods for Modeling and Control of Transitional and Turbulent Wall-Bounded Shear Flows

职业:过渡和湍流壁界剪切流的建模和控制方法

基本信息

  • 批准号:
    0644793
  • 负责人:
  • 金额:
    $ 40万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2007
  • 资助国家:
    美国
  • 起止时间:
    2007-03-01 至 2013-02-28
  • 项目状态:
    已结题

项目摘要

This proposal introduces new methods for modeling and control of transitional and turbulent wall-bounded shear flows. An important attribute of the proposed work is that it builds upon recent research manifesting the significance of uncertainty, such as free-stream turbulence and wall roughness, in channels, pipes, and boundary layers. Drag reduction by sensorless mechanisms is a promising technology, as it represents a much simpler alternative to feedback flow control with wall-mounted arrays of sensors and actuators. Although several numerical and experimental studies indicate that properly designed sensorless strategies yield significant drag reduction, an obstacle to fully utilizing these approaches is the absence of a theoretical framework for their design and optimization. This lack of analytical tools greatly impedes the synthesis of sensorless schemes as well as their extension to different flow regimes. The PI will develop a system-theoretic paradigm for design and optimization of sensorless flow control strategies. The new paradigm is a spatio-temporal analog of the well-known principle of vibrational control, where the system's dynamical properties are altered by introducing zero-mean vibrations into the system's coefficients. The PI's theoretical findings will enable more efficient drag reduction strategies and provide guidelines for design of various surface-based actuation techniques. Since distributed systems are becoming ubiquitous in modern technology, the educational goal of this proposal is to make distributed concepts more pervasive at the undergraduate and early graduate level. The PI will launch a new introductory course that will emphasize classes of systems characterized by their structural properties, practical applications, and physical interpretations. In collaboration with the Science Museum of Minnesota, the PI will organize popular lectures on diversity of flow control strategies in nature. Several video demonstrations will be used to illustrate how observations from the natural world motivate research, engineering design, and technology development. The PI's goal is to provide high-school students with an early exposure to the central role of control engineering in bringing the efficiency of natural fliers and swimmers to man-made systems. Flow modeling and control is a promising active research area in systems and control theory. The ability to manipulate and control fluid flows is of paramount importance in many applications including transport in pipes, drag reduction for air and water vehicles, and mixing enhancement in chemical reactors and combustion engines. The potential benefits of successful flow control strategies are enormous; they range from economic gains in fuel savings to improved performance of engineering systems involving fluid flows. Since skin-friction drag directly translates into large fuel consumption for airplanes, ships, and submarines, there is a critical demand for development and utilization of advanced theoretical and computational techniques proposed in this work.
该建议介绍了用于建模和控制过渡和湍流壁式剪切流的新方法。拟议工作的一个重要属性是,它建立在最近的研究基础上,表现出不确定性的重要性,例如自由流湍流和壁粗糙度,在通道,管道和边界层中。通过传感器机制减少阻力是一项有前途的技术,因为它代表了用壁挂式传感器和执行器的反馈流量控制更简单的替代方法。尽管几项数值和实验研究表明,正确设计的无传感器策略会大大减少阻力,但充分利用这些方法的障碍是缺乏其设计和优化的理论框架。缺乏分析工具极大地阻碍了无传感器方案的综合以及它们扩展到不同流动机制。 PI将开发系统理论范式,用于设计和优化无传感器流量控制策略。新范式是振动控制众所周知原理的时空类似物,其中通过将零均值的振动引入系统系数来改变系统的动力学特性。 PI的理论发现将实现更有效的降低阻力策略,并为设计各种基于表面的驱动技术的设计提供指南。由于分布式系统在现代技术中变得无处不在,因此该提案的教育目标是使分布式概念在本科和早期研究生水平上更加普遍。 PI将启动一个新的入门课程,该课程将强调以其结构属性,实际应用和物理解释为特征的系统类别。与明尼苏达州科学博物馆合作,PI将组织有关自然流量控制策略多样性的流行讲座。几个视频演示将用于说明自然界的观察如何激励研究,工程设计和技术开发。 PI的目标是为高中生提供早期接触控制工程在将天然传单和游泳者的效率带到人造系统中的核心作用。流程建模和控制是系统和控制理论中有希望的主动研究领域。在许多应用中,操纵和控制流体流动的能力至关重要,包括管道运输,空气和水车的拖放减少以及化学反应器和燃烧发动机的增强。成功的流控制策略的潜在好处是巨大的;它们的范围从节省燃料的经济增长到改善涉及流体流动的工程系统的性能。由于皮肤摩擦阻力直接转化为飞机,船只和潜艇的大量燃料消耗,因此对这项工作中提出的先进理论和计算技术的开发和利用有关键的需求。

项目成果

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Mihailo Jovanovic其他文献

Mihailo Jovanovic的其他文献

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{{ truncateString('Mihailo Jovanovic', 18)}}的其他基金

The proximal augmented Lagrangian method for distributed and embedded nonsmooth composite optimization
用于分布式嵌入式非光滑复合优化的近端增广拉格朗日方法
  • 批准号:
    1809833
  • 财政年份:
    2018
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
CRII: CPS: Information-Constrained Cyber-Physical Systems for Supermarket Refrigerator Energy and Inventory Management
CRII:CPS:超市冰箱能源和库存管理的信息受限网络物理系统
  • 批准号:
    1657100
  • 财政年份:
    2017
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
Distributionally Robust Control and Incentives with Safety and Risk Constraints
具有安全和风险约束的分布式鲁棒控制和激励
  • 批准号:
    1708906
  • 财政年份:
    2017
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
Sparsity-promoting optimal design of large-scale networks of dynamical systems
大规模动力系统网络的稀疏性优化优化设计
  • 批准号:
    1739210
  • 财政年份:
    2017
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
Low-complexity Stochastic Modeling and Control of Turbulent Shear Flows
湍流剪切流的低复杂度随机建模和控制
  • 批准号:
    1739243
  • 财政年份:
    2017
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
Sparsity-promoting optimal design of large-scale networks of dynamical systems
大规模动力系统网络的稀疏性优化优化设计
  • 批准号:
    1407958
  • 财政年份:
    2014
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
Low-complexity Stochastic Modeling and Control of Turbulent Shear Flows
湍流剪切流的低复杂度随机建模和控制
  • 批准号:
    1363266
  • 财政年份:
    2014
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
Collaborative Research: Algorithms for Design of Structured Distributed Controllers with Application to Large-Scale Vehicular Formations
合作研究:应用于大规模车辆编队的结构化分布式控制器设计算法
  • 批准号:
    0927720
  • 财政年份:
    2009
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant

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