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

• 批准号: 2003951
• 负责人: Anya Jones
• 金额: $ 27.59万
• 依托单位: University of Maryland, College Park
• 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=2003951&HistoricalAwards=false
• 关键词: Collaborative; Research; Lift; regulation; via

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.

当机翼通过强烈的风中时，很快就会产生大量升降机。产生的升降机瞬态及其建立的速度给维持车辆控制带来了挑战，并可能导致结构变形或故障。因此，为翅膀配备方法来减轻强烈的阵风反应，即调节升力。该项目的长期目标是评估升力产量对阵风流中不确定性的敏感性，并在不良的不可预见的阵风相遇期间创建新的控制策略来减轻升力瞬变。这项工作的结果将适用于广泛的应用，包括在潮汐，波浪和唤醒中运行的风力和水轮机；以及各种尺度的空气和水车，从在城市环境中运行的小型航空车到在复杂的地形，唤醒和极端天气中运行的载人车辆。 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在此事件期间和之后的运动运动。技术方法是（1）合成基于物理的低阶模型，该模型包括基于高分辨率的不稳定力，流场和表面压力测量的高分辨率不稳定的涡流动力学，并在刚性侧面的刚性侧面侧面的侧面侧面阵风相遇； （2）在阵风中构建一个最佳的稳健控制框架，以适当说明阵风流中的不确定性（例如宽度和振幅）和机翼的响应； （3）在实验室实时遇到实验实验中，实施了拟议的闭环控制框架。研究活动将探讨将基于分析和物理学的空气动力学模型与数据驱动技术相结合的方法，以实现通过不稳定和不确定的大型干扰的更强大和可扩展的机翼模型。对科学界的贡献包括（1）一种流程模型，专为阵阵流动的高度不确定性而具有高度不确定性，以及（2）将该模型整合到一个强大的实时反馈控制循环中，以通过对阵风进行了反映，以反映niss nesf的统治知识，以进行机翼阵风进行运动，以反映nsf，并反映出nsf的事实。基金会的智力优点和更广泛的影响评论标准。

项目成果

Physics and Modeling of Large Flow Disturbances: Discrete Gust Encounters for Modern Air Vehicles

• DOI: 10.1146/annurev-fluid-031621-085520
• 发表时间: 2022-03-01
• 期刊: ANNUAL REVIEW OF FLUID MECHANICS
• 影响因子: 27.7
• 作者: Jones, Anya R.;Cetiner, Oksan;Smith, Marilyn J.
• 通讯作者: Smith, Marilyn J.

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.