EFRI C3 SoRo: Integration of Avian Flight Control Strategies with Self Adaptive Structures for Stable Flight in Unknown Flows
EFRI C3 SoRo:将鸟类飞行控制策略与自适应结构相结合,实现未知流量中的稳定飞行
基本信息
- 批准号:1935216
- 负责人:
- 金额:$ 200万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-01-01 至 2024-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This project will create flight control methods for a new class of unmanned aerial vehicle (UAV) with feather-like appendages and shape-changing planform, designed based on deep understanding of how birds maintain stability and respond to flow disturbances while gliding in unpredictable environments. This project includes the development of 3D printed artificial feathers, with integrated sensing and actuation. The main purpose of the artificial feathers is to provide a passive control component, by appropriately deflecting in response, for example, to a wind gust. A larger but slower active control component is supplied by an articulated support structure based on a bird wing, whose shape can be changed depending on flight conditions and desired maneuvers. Avian studies will explore the aerodynamic contributions of both passive feather flexibility and active wing shape control. The resulting knowledge will be translated to the UAV using distributed computing and control. The new generation of UAVs resulting from this project will have increased mission versatility and greater survivability in unknown turbulent environments. These improved capabilities will be valuable for monitoring fires, delivering rescue supplies, and accomplishing searching and rescue missions. The ability to remain stable despite wind gusts and other environmental disturbances is also a key element for safe flight as these platforms are increasingly deployed in crowded urban environments. Outreach programs based on the wind tunnel experiments and field studies associated with this grant will be used to inspire a diverse group of young people to enter STEM programs.The project goals include modeling of passive and active mechanics of 3D printed materials with embedded sensing and actuation capabilities for artificial feather-like components and employing novel 3D printing methods to develop UAV structures with elbow and wrist-type joints capable of implementing avian flight control strategies. Piezoelectric materials will be used for sensing and fine-scale control of the feather-like elements, while hydraulically amplified electrostatic actuation will be used in the morphing planform. Detailed nonlinear simulations will be used to capture the nonlinear fluid-structure interactions including the highly deformable feather elements. A combination of model-based and data-driven hierarchical control strategies will be used to translate observed avian flight behaviors to the UAV. Experiments will capture avian response to flow disturbances, including active (muscle-powered) and passive (feather deflection) wing morphing, augmented by detailed measurement of feather attachment, mechanical properties of feathers and wings, neuromorphic computing, and deflection measurements in near-field flows. A compliant wing test bed will complement the avian experiments in steady and unsteady loading environments through wind tunnel testing over a range of flow conditions.This project is jointly funded by the National Science Foundation and the US Air Force Office of Scientific Research.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.
该项目将为具有羽毛状附件和形状变化的平面形状的新型无人机(UAV)创建飞行控制方法,该方法基于对鸟类如何在不可预测的环境中滑翔时保持稳定性和应对气流扰动的深入理解而设计。该项目包括开发3D打印人造羽毛,集成传感和驱动。人造羽毛的主要目的是通过响应于例如阵风而适当地偏转来提供被动控制部件。一个更大但更慢的主动控制组件由基于鸟翼的铰接支撑结构提供,其形状可以根据飞行条件和期望的机动而改变。鸟类研究将探索被动羽毛柔性和主动机翼形状控制的空气动力学贡献。由此产生的知识将被翻译到无人机使用分布式计算和控制。由该项目产生的新一代无人机将增加使命通用性和在未知湍流环境中更大的生存能力。这些改进的能力对于监测火灾、运送救援物资和完成搜索和救援任务都很有价值。在阵风和其他环境干扰下保持稳定的能力也是安全飞行的关键因素,因为这些平台越来越多地部署在拥挤的城市环境中。基于风洞实验和与此资助相关的实地研究的推广计划将用于激励不同群体的年轻人进入STEM项目。该项目的目标包括3D打印材料的被动和主动力学建模,具有嵌入式传感和致动能力,用于人造羽毛状部件,并采用新颖的3D打印方法开发具有肘部和手腕的无人机结构。型关节能够实现鸟类飞行控制策略。压电材料将用于传感和精细尺度控制的羽毛状元素,而液压放大静电驱动将用于变形平面。详细的非线性模拟将被用来捕捉非线性流体-结构相互作用,包括高度可变形的羽毛元素。结合基于模型和数据驱动的分层控制策略,将观察到的鸟类飞行行为转化为无人机。实验将捕捉鸟类对气流扰动的反应,包括主动(肌肉驱动)和被动(羽毛偏转)翅膀变形,通过详细测量羽毛附着、羽毛和翅膀的机械性能、神经形态计算和近场流中的偏转测量来增强。顺应性机翼试验台将通过在一系列流动条件下的风洞试验来补充稳定和非稳定载荷环境下的鸟类实验。该项目由美国国家科学基金会和美国空军科学研究办公室共同资助。该奖项反映了NSF的法定使命,并通过使用该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(20)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Passive aeroelastic deflection of avian primary feathers
- DOI:10.1088/1748-3190/ab97fd
- 发表时间:2020-05
- 期刊:
- 影响因子:3.4
- 作者:B. Klaassen van Oorschot;R. Choroszucha;B. Tobalske
- 通讯作者:B. Klaassen van Oorschot;R. Choroszucha;B. Tobalske
Precipitation printing towards diverse materials, mechanical tailoring and functional devices
针对多种材料、机械剪裁和功能设备的沉淀印刷
- DOI:10.1016/j.addma.2020.101358
- 发表时间:2020
- 期刊:
- 影响因子:11
- 作者:Tu, Ruowen;Sprague, Ethan;Sodano, Henry A.
- 通讯作者:Sodano, Henry A.
Autonomous Learning in a Pseudo-Episodic Physical Environment
- DOI:10.1007/s10846-022-01577-5
- 发表时间:2022-02
- 期刊:
- 影响因子:3.3
- 作者:Kevin P. T. Haughn;D. Inman
- 通讯作者:Kevin P. T. Haughn;D. Inman
Alcids ‘fly’ at efficient Strouhal numbers in both air and water but vary stroke velocity and angle
Alcids 在空气和水中均以有效的斯特劳哈尔数“飞行”,但会改变冲程速度和角度
- DOI:10.7554/elife.55774
- 发表时间:2020
- 期刊:
- 影响因子:7.7
- 作者:Lapsansky, Anthony B;Zatz, Daniel;Tobalske, Bret W
- 通讯作者:Tobalske, Bret W
Precipitation-Printed High-β Phase Poly(vinylidene fluoride) for Energy Harvesting
- DOI:10.1021/acsami.0c16207
- 发表时间:2020-12-30
- 期刊:
- 影响因子:9.5
- 作者:Tu, Ruowen;Sprague, Ethan;Sodano, Henry A.
- 通讯作者:Sodano, Henry A.
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Daniel Inman其他文献
Ethanol production in the United States: The roles of policy, price, and demand
- DOI:
10.1016/j.enpol.2021.112713 - 发表时间:
2022-02-01 - 期刊:
- 影响因子:
- 作者:
Emily Newes;Christopher M. Clark;Laura Vimmerstedt;Steve Peterson;Dallas Burkholder;David Korotney;Daniel Inman - 通讯作者:
Daniel Inman
Development of a Software Framework for Rapid Optimized Design of Morphing Small UAVs
小型变形无人机快速优化设计软件框架的开发
- DOI:
10.2514/6.2024-0908 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Gerardo Cervantes;Walker Buckle;Darren J. Hartl;J. Kudva;Daniel Inman;Jack B. Perry - 通讯作者:
Jack B. Perry
Daniel Inman的其他文献
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{{ truncateString('Daniel Inman', 18)}}的其他基金
2020 Multifunctional Materials and Structures Gordon Research Conference; Ventura, California; 19-24 January 2020
2020多功能材料与结构戈登研究会议;
- 批准号:
1936236 - 财政年份:2019
- 资助金额:
$ 200万 - 项目类别:
Standard Grant
Low power control methods for energy efficient structures
节能结构的低功耗控制方法
- 批准号:
EP/J008532/1 - 财政年份:2012
- 资助金额:
$ 200万 - 项目类别:
Research Grant
NSF Support for 9th International Seminar on Experimental Techniques and Design in Composite Materials
NSF 支持第九届复合材料实验技术与设计国际研讨会
- 批准号:
0953482 - 财政年份:2009
- 资助金额:
$ 200万 - 项目类别:
Standard Grant
Collaborative Research: I/UCRC Planning Grant - Center for Energy Harvesting Materials and Systems (CEHMS)
合作研究:I/UCRC 规划拨款 - 能量收集材料和系统中心 (CEHMS)
- 批准号:
0856032 - 财政年份:2009
- 资助金额:
$ 200万 - 项目类别:
Standard Grant
Sensors: Self-Contained Intelligent Sensors for Structural Monitoring
传感器:用于结构监测的独立智能传感器
- 批准号:
0426777 - 财政年份:2004
- 资助金额:
$ 200万 - 项目类别:
Standard Grant
Pan American Advanced Studies Institute in Damage Prognosis, Florianopolis, Brazil, November 2003
泛美损害预测高级研究所,巴西弗洛里亚诺波利斯,2003 年 11 月
- 批准号:
0221222 - 财政年份:2002
- 资助金额:
$ 200万 - 项目类别:
Standard Grant
Self-Monitoring and Self-Repairing Structural Systems
自我监控和自我修复结构系统
- 批准号:
0120827 - 财政年份:2001
- 资助金额:
$ 200万 - 项目类别:
Standard Grant
Modeling Viscoelastic Damping in Civil Structures
模拟土木结构中的粘弹性阻尼
- 批准号:
9978752 - 财政年份:1999
- 资助金额:
$ 200万 - 项目类别:
Continuing Grant
Model Correction Using Experimental Data
使用实验数据校正模型
- 批准号:
9396083 - 财政年份:1992
- 资助金额:
$ 200万 - 项目类别:
Continuing Grant
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相似海外基金
EFRI C3 SoRo: Model-Based Design and Control of Power-Dense Soft Hydraulic Robots for Demanding and Uncertain Environments
EFRI C3 SoRo:针对高要求和不确定环境的功率密集型软液压机器人的基于模型的设计和控制
- 批准号:
1935278 - 财政年份:2020
- 资助金额:
$ 200万 - 项目类别:
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EFRI C3 SoRo: 3-D surface control for object manipulation with stretchable materials
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- 批准号:
1935294 - 财政年份:2020
- 资助金额:
$ 200万 - 项目类别:
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EFRI C3 SoRo: Between a Soft Robot and a Hard Place: Estimation and Control Algorithms that Exploit Soft Robots' Unique Abilities
EFRI C3 SoRo:在软机器人和硬机器人之间:利用软机器人独特能力的估计和控制算法
- 批准号:
1935312 - 财政年份:2020
- 资助金额:
$ 200万 - 项目类别:
Standard Grant
EFRI C3 SoRo: Functional-Domain Soft Robots Precisely Controlled by Quantitative Dynamic Models and Data
EFRI C3 SoRo:由定量动态模型和数据精确控制的功能域软机器人
- 批准号:
1935291 - 财政年份:2019
- 资助金额:
$ 200万 - 项目类别:
Standard Grant
EFRI C3 SoRo: Micron-scale Morphing Soft-Robots for Interfacing With Biological Systems
EFRI C3 SoRo:用于与生物系统连接的微米级变形软机器人
- 批准号:
1935252 - 财政年份:2019
- 资助金额:
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EFRI C3 SoRo: Control of Local Curvature and Buckling for Multifunctional Textile-Based Robots
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- 批准号:
1935324 - 财政年份:2019
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EFRI C3 SoRo: Safe Medical Continuum Robots: Sensing, Control and Fabrication
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- 批准号:
1935329 - 财政年份:2019
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