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Micro/Miniature Aerial Vehicle Guidance for Hurricane Research

机译：微型/微型飞行器飓风研究指南

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摘要

We present an investigation of the Lagrangian dynamics of a hurricane from the perspective of using micro aerial vehicles (MAVs) or small unmanned aircraft systems as mobile sensors for hurricane research and monitoring. The low cost of MAVs allows the use of more sensors for volumetric in situ measurements, particularly in high-risk locations where larger more expensive systems cannot be used. However, the limited flight speed of MAVs enforces severe restrictions on potential flight plans. In the face of 70-m/s horizontal winds, a MAV with only 10-m/s flight capability has very little directional control. Fortunately, vertical wind speeds in the hurricane are much lower and have limited spatial extent. Using Lagrangian coherent structure techniques and simplified vehicle simulations, we develop an understanding of the transport dynamics of a simulated hurricane and apply this understanding to a high-level control scheme to enable MAV navigation and guidance near the hurricane. By smartly adjusting their altitude, simulated MAVs are able to navigate into the hurricane eye at a very high success rate. Our findings suggest that the smart use of the existing background flow could allow the use of low-cost sensor platforms in extreme environments.
机译：我们从使用微型飞行器（MAV）或小型无人飞机系统作为飓风研究和监测的移动传感器的角度出发，对飓风的拉格朗日动力学进行了研究。 MAV的低成本使得可以使用更多的传感器进行体积原位测量，尤其是在无法使用更大，更昂贵的系统的高风险地区。但是，MAV的有限飞行速度对潜在的飞行计划实施了严格的限制。面对70 m / s的水平风，只有10 m / s飞行能力的MAV几乎没有方向控制。幸运的是，飓风中的垂直风速要低得多，并且空间范围有限。使用拉格朗日相干结构技术和简化的车辆模拟，我们对模拟飓风的运输动力学有了深入的了解，并将这种理解应用于高级控制方案，以使MAV在飓风附近导航和制导。通过巧妙地调整高度，模拟的MAV能够以非常高的成功率进入飓风之眼。我们的发现表明，对现有背景流的巧妙利用可以允许在极端环境中使用低成本传感器平台。

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  • 来源
    《IEEE systems journal》 |2016年第3期|1263-1270|共8页
  • 作者

    Doug Lipinski; Kamran Mohseni;

  • 作者单位

    Department of Mechanical and Aerospace Engineering, University of Florida at Gainesville, Massachusetts Institute of Technology Lincoln Laboratory, Gainesville, Lexington, FL, MA, USAUSA;

    Department of Mechanical and Aerospace Engineering, Department of Electrical and Computer Engineering, Institute for Networked Autonomous Systems, University of Florida, University of Florida, Gainesville, Gainesville, FL, FL, USAUSA;

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  • 正文语种 eng
  • 中图分类
  • 关键词

    Hurricanes; Vehicles; Wind speed; Sensors; Atmospheric modeling; Computational modeling; Data models;

    机译：飓风;车辆;风速;传感器;大气建模;计算建模;数据模型;

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