Phase II IUCRC University of Michigan: Center for Unmanned Aircraft Systems (C-UAS)

无人驾驶飞机系统(UAS)或“无人机”作为一种收集航空传感器数据、携带小有效载荷和通过低成本、动手飞行体验激励学生的手段，吸引了我们的注意。在我们充分发挥其潜力之前，必须解决与安全操作各种规模和任务的无人机有关的众多研究挑战。UAS中心(C-UAS)是一个现有的国家科学基金产业/大学合作研究中心(IUCRC)，支持一系列以UAS为中心的研究课题。由杨百翰大学领导的C-UAS已成功过渡到第二阶段。C-UAS I/UCRC为大学和行业成员合作确定和探索与UAS相关的重要基础和应用研究提供了一条关键途径。密歇根大学提议加入C-UAS团队，为现有中心提供新的行业成员和新的研究专业知识。密歇根团队补充了C-UAS在自主、制导、导航和控制方面的现有优势，并在高空长航时平台、降阶空气动力学建模和能量采集方面提供了新的专业知识。C-UAS正在寻求两个新的中心范围的重点领域来启动第二阶段：自主和反UAS。为了实现自主，密歇根州的研究人员将寻求识别和注入新的数据源，以使未来的UAS飞行规划者能够对地面人员和财产进行量化建模，并将风险降至最低。密歇根州还将延长之前在静态和动态地理围栏方面的工作，以确保每一架无人机都保持在其授权占用的空域内。对于反无人机，密歇根州将继续进行基础研究，通过开发可用于计算干扰和拦截防御行动的信息共享和运动模型，分析和设计针对空中集群的防御策略。密歇根州的团队还将调查两个新的UAS研究推动力。高空长耐力(HALE)飞行是通过提供轻质空气动力学高效性能的柔性翼平台来设想的；拟议的研究将通过建模、仿真和UAS飞行实验来开发一个用于非常灵活的UAS的气动弹性效应和飞行动力学的验证模型。第二项新的研究工作将开发大气边界层和飞行器空气力学效应的降阶模型，这些模型考虑了复杂地形和城市走廊中的昼夜对流，并应用于UAS飞行规划、轨迹预测和控制。

Unmanned Aircraft Systems (UAS) or "drones" have captured our attention as a means to collect aerial sensor data, carry small payloads, and motivate students through low-cost, hands-on flight experiences. Numerous research challenges related to safely operating UAS of all sizes and missions must be addressed before we can realize their full potential. The Center for UAS (C-UAS) is an existing National Science Foundation Industry/University Cooperative Research Center (IUCRC) supporting a wide range of UAS-centric research topics. C-UAS, led by Brigham-Young University, has successfully transitioned into Phase II. The C-UAS I/UCRC provides a critical pathway for university and industry members to collaboratively identify and explore important basic and applied research relevant to UAS. The University of Michigan proposes to join the C-UAS team, offering new industry members and new research expertise to the existing center. The Michigan team complements existing C-UAS strengths in autonomy, guidance, navigation, and control and offers new expertise in high altitude long endurance platforms, reduced-order aerodynamics modeling, and energy harvesting.C-UAS is pursuing two new center-wide focus areas to kick off Phase II: autonomy and counter-UAS. For autonomy, Michigan researchers will pursue identification and infusion of new data sources to enable future UAS flight planners to quantitatively model and minimize risk to people and property on the ground. Michigan will also extend previous work in static and dynamic geofencing to assure each UAS remains within airspace it is authorized to occupy. For counter-UAS, Michigan will pursue fundamental research to analyze and design defense strategies against aerial swarms through development of information-sharing and motion models that can be used to compute jamming and interception defensive actions. The Michigan team will also investigate two new UAS research thrusts. High-altitude long-endurance (HALE) flight is envisioned through a flexible-wing platform that offers light-weight aerodynamically-efficient performance; the proposed research will develop a validated model of aeroelastic effects coupled with flight dynamics for very-flexible UAS with modeling, simulation, and UAS flight experiments. A second new research effort will develop reduced-order models of the atmospheric boundary layer and vehicle aeromechanics effects that account for day/night convection in complex terrain and urban corridors with application to UAS flight planning, trajectory prediction, and control.