I/UCRC: Center for Unmanned Aircraft Systems Phase II Site: Virginia Tech

I/UCRC：无人机系统中心第二期地点：弗吉尼亚理工大学

基本信息

批准号：
1650465
负责人：
Craig Woolsey
金额：
$ 50万
依托单位：
Virginia Polytechnic Institute and State University
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-03-01 至 2022-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1650465&HistoricalAwards=false
关键词：
UCRC Center Unmanned Aircraft Systems

项目摘要

The Center for Unmanned Aircraft Systems (C-UAS) addresses the issues common to the unmanned aircraft system (UAS) industry that limit widespread application across national security, scientific, civil, and commercial domains. Research within the UAS industry is driven by both technical gaps existing for specific high-value applications and the current under-developed regulatory framework that is needed for integration of UAS into the national airspace. The full value of unmanned aircraft systems, especially for a broad range of scientific and civil applications, cannot be realized without significant multidisciplinary research efforts such as those proposed here. Toward that goal, C-UAS investigates and develops new algorithms, architectures, and operational procedures for unmanned aircraft systems. The center contributes to the advancement of the state of the art for UAS through its research at the center's universities and by training graduate students in areas supporting the advancement of UAS. The research pursued in C-UAS has potential application to unmanned aircraft of all sizes. The primary focus of research activities, however, is on small unmanned aircraft systems (SUAS), which feature aircraft with wingspans in the 1 ft to 8 ft range. C-UAS university sites have distinguished themselves with their experimental flight test demonstrations on these smaller platforms. The research interests and needs of industry in the area of UAS align well with the skills, knowledge, and background of the university participants in the center. Research focus areas for the Virginia Tech site can be described in terms of (1) technical areas and (2) application areas. Technical topic areas in which Virginia Tech has particular strength and interest include: (i) Advanced flight control (e.g., methods to construct robust, secure, and mathematically certified control algorithms), (ii) Airworthiness, cybersecurity, and reliability (e.g., reliability prediction methods that incorporate imprecise uncertainties intrinsic to small UAS), (iii) Machine vision and machine learning (e.g., software for real-time, on-board intelligent image processing), (iv) Multiphysics design optimization (e.g., aircraft design optimization tools that incorporate unsteady fluid/structure interaction), and (v) Wireless communication (e.g., the use of software defined radio and intelligent communication protocols that adapt the information flow to the environmental conditions). Application topic areas in which Virginia Tech has particular strength and interest include: (i) Agriculture (e.g., methods to monitor plant pathogen transport), (ii) Civil infrastructure (e.g., bridge inspection), and (iii) Geographic information systems. Specific research projects proposed by Virginia Tech faculty members in these technical and application areas are selected annually by the Industry Advisory Board (IAB).

无人飞机系统中心（C-UAS）解决了无人飞机系统（UAS）行业常见的问题，这些问题限制了国家安全，科学，民事和商业领域的广泛应用。 UAS行业内部的研究是由针对特定高价值应用程序的技术差距和当前不发达的监管框架进行的技术差距所驱动的，这是将UAS集成到国家领空所需的当前的欠发达监管框架。如果没有重大的多学科研究工作，例如这里提出的大量研究工作，则无法实现无人飞机系统的全部价值，尤其是对于广泛的科学和民用应用的全部价值。为了实现这一目标，C-UAS研究并开发了无人飞机系统的新算法，架构和操作程序。该中心通过其在中心大学的研究和培训支持UAS进步的领域的研究生来促进UAS的艺术状况提高。在C-UAS中进行的研究潜在地应用于各种规模的无人飞机。但是，研究活动的主要重点是小型无人飞机系统（SUAS），该飞机以1英尺至8英尺范围内的翼展为飞机。 C-UAS大学的站点在这些较小的平台上进行了实验性飞行测试演示。 UAS领域的行业研究兴趣和需求与该中心的大学参与者的技能，知识和背景很好。可以用（1）技术领域和（2）应用领域来描述弗吉尼亚技术站点的研究重点领域。 Technical topic areas in which Virginia Tech has particular strength and interest include: (i) Advanced flight control (e.g., methods to construct robust, secure, and mathematically certified control algorithms), (ii) Airworthiness, cybersecurity, and reliability (e.g., reliability prediction methods that incorporate imprecise uncertainties intrinsic to small UAS), (iii) Machine vision and machine learning (e.g., software for real-time,板载智能图像处理），（iv）多物理设计优化（例如，飞机设计优化工具，这些工具包含了不稳定的流体/结构交互），以及（v）无线通信（例如，使用软件定义的无线电和智能通信协议，将信息流向环境条件）。弗吉尼亚理工大学具有特殊优势和兴趣的应用主题领域包括：（i）农业（例如，监测植物病原体运输的方法），（ii）民用基础设施（例如，桥梁检查）和（iii）地理信息系统。弗吉尼亚理工大学教职员工在这些技术和应用领域提出的特定研究项目每年由行业顾问委员会（IAB）选择。