CRII: CPS: Towards an Intelligent Low-Altitude UAS Traffic Management System

CRII：CPS：迈向智能低空无人机交通管理系统

• 批准号: 1565979
• 负责人: Peng Wei
• 金额: $ 17.5万
• 依托单位: Iowa State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-05-15 至 2019-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1565979&HistoricalAwards=false
• 关键词: CRII; CPS; Towards; Intelligent; Low

The objective of this project is to provide theoretical foundations for cyber-physical systems to support the increasing autonomy in the presence of other manned/unmanned air traffic. Currently the United States air transportation is facing significant challenges due to the rapid evolution of increasingly autonomous systems such as unmanned aircraft systems (UAS) and their expanding presence. However, there has been little scientific investigation on the cyber-physical systems that supports unmanned aircraft operations operating in the presence of other air vehicles. This research project explores novel strategies of coordinating and managing the UAS traffic to ensure low-altitude airspace safety and efficiency in near future. This will also help to catalyze additional cyber-physical systems research in related areas including aviation infrastructures, navigation and surveillance devices, and unmanned aerial vehicle technologies. The investigator will work with Iowa State University Extension and Outreach Office to promote UAS applications in precision agriculture, aviation safety and responsible uses of UAS.The theoretical aspect of the research will leverage interdisciplinary methodologies in the fields of optimization, artificial intelligence, and control. The project designs algorithms, implements software and demonstrates proof-of-concept using low-altitude UAS traffic management as a challenge application area. This project establishes an unmanned air system traffic simulation platform, which can be used to validate new methods and tools, and enable collaborations with government, industrial and academic partners. The research outcomes are expected to provide a framework to investigate the feasibility, safety, efficiency and potential benefits of the increasing autonomy in civil aviation.

该项目的目标是为网络物理系统提供理论基础，以支持在其他有人/无人驾驶空中交通中增加自主性。目前，由于无人机系统（UAS）等日益自主的系统的快速发展及其存在的不断扩大，美国航空运输正面临着重大挑战。然而，对支持无人机在其他飞行器存在的情况下运行的网络物理系统的科学研究却很少。该研究项目探索协调和管理无人机交通的新策略，以确保不久的将来低空空域的安全和效率。这也将有助于促进相关领域的额外网络物理系统研究，包括航空基础设施、导航和监视设备以及无人机技术。研究人员将与爱荷华州立大学推广和外展办公室合作，促进无人机在精准农业、航空安全和无人机负责任使用方面的应用。研究的理论方面将利用优化、人工智能和控制领域的跨学科方法。该项目设计算法、实施软件并演示使用低空无人机交通管理作为挑战应用领域的概念验证。该项目建立了一个无人机系统交通仿真平台，可用于验证新方法和工具，并促进与政府、工业和学术伙伴的合作。研究成果预计将为调查民用航空日益增强的自主性的可行性、安全性、效率和潜在效益提供一个框架。