Collaborative Research: A Solar-Powered Aerial Transformer for Enhanced Mobility and Endurance
合作研究:增强机动性和耐用性的太阳能空中变压器
基本信息
- 批准号:2334994
- 负责人:
- 金额:$ 33.55万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-09-01 至 2026-08-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Under this Foundational Research in Robotics (FRR) project, a team of researchers from Tuskegee University and Purdue University will investigate origami structures to create extendable wings for unpiloted aerial vehicles (UAVs), with four gimballed propellors capable of operating vertically in rotorcraft mode or horizontally in fixed-wing mode. Wing extension and retraction is always performed in rotorcraft mode, respectively just before or just after gimballing of the propellors. The shape-morphing capability will allow solar cells mounted on the wing surfaces to prolong fixed-wing operations, while enhancing agility and reducing vulnerability to wind gusts in rotorcraft flight. The project will also create associated algorithms for flight control and mission planning, to stabilize the rotorcraft mode during wing extension and retraction, to stabilize the aircraft during propellor gimballing, and to set rotorcraft and fixed-wing flight profiles and transition points based on mission requirements, characteristics, and constraints. Many UAV missions will benefit from the extended operational time, multifunctionality, and increased mobility conferred by the shape morphing wing and solar cells. These include surveillance and reconnaissance, search and rescue, and precision agriculture. Experiments will be conducted to demonstrate and optimize the performance of the new vehicle under a variety of realistic objectives and conditions. Additionally, joint educational activities will create communication and collaboration channels for faculty and students from both universities, laying the foundation for a continued and expanded partnership between the Tuskegee University Aerospace Science Engineering Department and the Purdue University Aeronautics and Astronautics Department.The technical challenge addressed by this research is that extending mission times requires a high surface area for mounting photovoltaic cells, however high surface areas correspond to high aerodynamic disturbance forces that may overwhelm the capabilities of the aircraft in rotorcraft mode. The solution explored in the research is to use morphing wings based on Miura folding patterns that extend for fixed wing operation and retract for rotorcraft operation. Features of the Miura fold patterns may be exploited to implement control surfaces equivalent to ailerons, flaps, and slats. The research approach encompasses design of a platform for integrating solar panels with hybrid UAVs, development of guidance and actuation strategies for a shape-morphing wing, implementation of learning-enabled control laws for efficient rotor conversion, and the establishment of a laddered procedure for system performance evaluation. Optimization algorithms are employed to improve computational efficiency and scalability for complex system design. The learning-enabled control framework enables real-time optimal control with reduced data training requirements. Through these technical efforts, the project seeks to have a significant impact on safety, reduced manpower, energy savings, and insights for future unmanned aerial systems.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.
在这个机器人基础研究(FRR)项目下,来自塔斯基吉大学和普渡大学的一组研究人员将研究折纸结构,为无人驾驶飞行器(uav)创造可扩展的机翼,四个平衡螺旋桨能够在旋翼模式下垂直运行或在固定翼模式下水平运行。在旋翼模式下,机翼伸展和收缩总是分别在螺旋桨平衡之前或之后进行。形状变形能力将允许安装在机翼表面的太阳能电池延长固定翼的运行时间,同时提高灵活性并减少旋翼飞机飞行时对阵风的脆弱性。该项目还将为飞行控制和任务规划创建相关算法,以稳定旋翼机在机翼伸展和收缩期间的模式,稳定螺旋桨平衡期间的飞机,并根据任务要求、特性和约束设置旋翼机和固定翼飞行剖面和过渡点。许多无人机任务将受益于可变形机翼和太阳能电池延长的作战时间、多功能性和增加的机动性。其中包括监视和侦察、搜索和救援以及精准农业。将进行实验,在各种现实目标和条件下演示和优化新车的性能。此外,联合教育活动将为两所大学的教师和学生创造沟通和合作渠道,为塔斯基吉大学航空航天科学工程系和普渡大学航空航天工程系之间持续和扩大的合作关系奠定基础。这项研究解决的技术挑战是,延长任务时间需要安装光伏电池的高表面积,然而高表面积对应的高空气动力扰动力可能会淹没旋翼模式下飞机的能力。研究中探索的解决方案是使用基于Miura折叠模式的变形机翼,该机翼在固定翼操作时伸展,在旋翼操作时收缩。可以利用三浦褶皱图案的特征来实现相当于副翼、襟翼和板条的控制面。研究方法包括设计将太阳能电池板与混合无人机集成的平台,开发变形翼的制导和驱动策略,实现有效转子转换的学习控制律,以及建立系统性能评估的阶梯程序。优化算法用于提高复杂系统设计的计算效率和可扩展性。支持学习的控制框架实现了实时最优控制,减少了数据训练需求。通过这些技术努力,该项目旨在对安全性、减少人力、节约能源以及对未来无人机系统的见解产生重大影响。该奖项反映了美国国家科学基金会的法定使命,并通过使用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(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
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Changhuang Wan其他文献
Angle Fixability and Angle-Based Sensor Network Localization
角度固定性和基于角度的传感器网络定位
- DOI:
10.1109/cdc40024.2019.9029907 - 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
Gangshan Jing;Changhuang Wan;R. Dai - 通讯作者:
R. Dai
A crash introduction to Optimal Transport
最佳传输的崩溃介绍
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
Changhuang Wan;N. Courty;Rémi Flamary;Amaury Habrard - 通讯作者:
Amaury Habrard
Alternating Minimization Algorithm for Polynomial Optimal Control Problems
多项式最优控制问题的交替最小化算法
- DOI:
10.2514/1.g003766 - 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
Changhuang Wan;R. Dai;P. Lu - 通讯作者:
P. Lu
An Optimization Algorithm for Multi-objective Optimization Problem by Using Envelope-dual Method
一种利用包络对偶法求解多目标优化问题的优化算法
- DOI:
10.1016/j.proeng.2013.12.046 - 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
X. H. Wang;Changhuang Wan;Chuangchuang Sun;R. W. Xia - 通讯作者:
R. W. Xia
Report for CSE 5339 2018 — ( OTMLSA ) Optimal Transport in Machine Learning and Shape Analysis Joint distribution optimal transportation for domain adaptation
CSE 5339 2018 报告 — (OTMLSA) 机器学习和形状分析中的最优传输域适应的联合分布最优传输
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Changhuang Wan;N. Courty;Rémi Flamary;Amaury Habrard - 通讯作者:
Amaury Habrard
Changhuang Wan的其他文献
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