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”已经引起了我们的注意，因为它可以收集空中传感器数据，携带小型有效载荷，并通过低成本的动手飞行体验来激励学生。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相关的众多研究挑战。UAS中心（C-UAS）是现有的国家科学基金会产学研合作研究中心（IUCRC），支持广泛的以UAS为中心的研究课题。由杨百翰大学领导的C-UAS已经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重要途径。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。密歇根团队补充了现有C-UAS在自主性、制导、导航和控制方面的优势，并在高空长航时平台、低阶空气动力学建模和能量收集方面提供了新的专业知识。对于自主性，密歇根大学的研究人员将寻求识别和注入新的数据源，使未来的无人机飞行规划者能够定量建模，并将对地面人员和财产的风险降至最低。密歇根大学还将扩展之前在静态和动态地理围栏方面的工作，以确保每个无人机都保持在授权占用的空域内。对于反无人机，密歇根将进行基础研究，通过开发信息共享和运动模型来分析和设计针对空中蜂群的防御策略，这些模型可用于计算干扰和拦截防御行动。密歇根大学的研究小组还将研究两个新的无人机研究重点。高空长航时（HALE）飞行的设想是通过一个灵活的机翼平台，提供轻重量的空气动力学高效性能；该研究将通过建模、仿真和无人机飞行实验，为非常灵活的无人机开发一个有效的气动弹性效应与飞行动力学耦合模型。第二项新的研究工作将开发大气边界层和车辆空气力学效应的降阶模型，该模型考虑了复杂地形和城市走廊中昼夜对流的影响，并应用于无人机飞行计划、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.