权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Collaborative Research: Lift regulation via kinematic maneuvering in uncertain gusts

合作研究：在不确定的阵风中通过运动操纵进行升力调节

基本信息

批准号：
2003999
负责人：
Francis Lagor
金额：
$ 22.07万
依托单位：
SUNY at Buffalo
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-05-01 至 2024-04-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2003999&HistoricalAwards=false
关键词：
Collaborative Research Lift regulation via

项目摘要

When a wing passes through a strong gust of wind, large amounts of lift are generated very quickly. The resulting lift transient, and the speed at which it builds, presents a challenge to maintaining vehicle control and can result in structural deformation or failure. It is therefore of interest to equip wings with ways to mitigate strong gust responses, i.e., to regulate lift. The long-term goal of this project is to assess the sensitivity of lift production to uncertainties in the gust flow, and to create new control strategies for mitigation of lift transients during detrimental unforeseen gust encounters. Results of this work will apply to a broad range of applications including wind and water turbines operating in tides, waves, and wakes; and air and water vehicles of all scales, from small aerial vehicles operating in urban environments to manned vehicles operating in complex terrain, air wakes, and extreme weather. The project will also encompass educational and outreach activities, including elementary and middle school visits and a research and mentoring program for undergraduate transfer students.The goal of this project is to apply tools from fluid dynamics, reduced-order modeling, and optimal and robust control theory to elucidate and model the underlying flow physics of an unsteady and uncertain large-amplitude transverse gust encounter, and to apply this knowledge to design control laws for regulation of lift production through kinematic actuation during and after this event. The technical approach is to (1) synthesize a physics-based low-order model that includes leading- and trailing-edge vortex dynamics based on high-resolution unsteady force, flow field, and surface pressure measurements on a rigid wing in a large-amplitude transverse gust encounter; (2) construct an optimal robust control framework for lift regulation in the gust that properly accounts for uncertainties in the gust flow (e.g., width and amplitude) and the wing's response thereto; and (3) implement the proposed closed-loop control framework in real-time gust encounter experiments in the laboratory. Research activities will explore methods of combining analytical and physics-based aerodynamic models with data-driven techniques for more robust and extensible models of wings passing through unsteady and uncertain large disturbances. Contributions to the scientific community include (1) a flow model designed for large-amplitude gust encounters with a high degree of uncertainty in the gust flow, and (2) integration of this model into a robust real-time feedback control loop for kinematic maneuvering in a wing-gust encounter without a priori knowledge of the gust parameters.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.

当机翼通过强风时，很快就会产生大量的升力。由此产生的升力瞬变及其形成的速度对维持车辆控制提出了挑战，并可能导致结构变形或故障。因此，为机翼配备减轻强风反应的方法，即调节升力，是很有意义的。这个项目的长期目标是评估电梯生产对阵风气流不确定性的敏感性，并创建新的控制策略，以缓解在有害的不可预见的阵风遭遇期间电梯的瞬变。这项工作的成果将适用于广泛的应用，包括在潮汐、波浪和尾流中运行的风力和水轮机；以及各种规模的空中和水上飞行器，从在城市环境中运行的小型飞行器到在复杂地形、空中尾流和极端天气中运行的载人飞行器。该项目还将包括教育和推广活动，包括小学和中学访问以及针对本科转学学生的研究和指导计划。该项目的目标是应用流体力学、降阶建模、最优和稳健控制理论的工具来阐明和模拟非定常和不确定的大范围横向阵风遭遇的基本流动物理，并应用这些知识设计控制律，以在事件期间和之后通过运动激励调节升降机的生产。其技术途径是：(1)综合一个基于物理的低阶模型，其中包括基于大幅度横向阵风相遇中刚性机翼上的高分辨率非定常作用力、流场和表面压力测量的前缘和后缘涡动力学；(2)构建用于阵风升力调节的最优鲁棒控制框架，该框架能够适当地考虑阵风气流的不确定性(例如，宽度和幅度)和机翼对其的响应；以及(3)在实验室进行实时阵风相遇实验。研究活动将探索将基于分析和物理的空气动力学模型与数据驱动技术相结合的方法，以获得更稳健和可扩展的机翼通过非定常和不确定大扰动的模型。科学界的贡献包括(1)为阵风气流中具有高度不确定性的大幅度阵风遭遇而设计的流动模型，以及(2)将该模型集成到稳健的实时反馈控制回路中，用于在机翼-阵风相遇时的运动机动，而不需要阵风参数的先验知识。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势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（8）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Experiments in transverse gust mitigation using open-loop pitch maneuvers

使用开环俯仰操纵减轻横向阵风的实验

DOI：
10.2514/6.2022-0333
发表时间：
2022
期刊：
American Institute of Aeronautics and Astronautics
影响因子：
0
作者：
Sedky, Girguis;Gementzopoulos, Antonios;Lagor, Francis D.;Jones, Anya
通讯作者：
Jones, Anya

Simplified Iterative Maneuver Optimization in a Transverse Gust Encounter

横向阵风遭遇中的简化迭代机动优化

DOI：
10.2514/6.2023-2478
发表时间：
2023
期刊：
AIAA SciTech Forum
影响因子：
0
作者：
Xu, Xianzhang;Lagor, Francis D.
通讯作者：
Lagor, Francis D.

Iterative Maneuver Optimization in a Transverse Gust Encounter

横向阵风遭遇中的迭代机动优化

DOI：
10.2514/1.j062404
发表时间：
2023
期刊：
AIAA Journal
影响因子：
2.5
作者：
Xu, Xianzhang;Gementzopoulos, Antonios;Sedky, Girguis;Jones, Anya R.;Lagor, Francis D.
通讯作者：
Lagor, Francis D.

Physics of gust response mitigation in open-loop pitching manoeuvres

开环俯仰操纵中阵风响应缓解的物理原理

DOI：
10.1017/jfm.2022.509
发表时间：
2022
期刊：
Journal of Fluid Mechanics
影响因子：
3.7
作者：
Sedky, Girguis;Gementzopoulos, Antonios;Andreu-Angulo, Ignacio;Lagor, Francis D.;Jones, Anya R.
通讯作者：
Jones, Anya R.

Optimal Pitching in a Transverse Gust Encounter Using a Modified Goman-Khrabrov Model

使用改进的 Goman-Khrabrov 模型在横向阵风遭遇中实现最佳俯仰