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Wind Field Estimation for Small Unmanned Aerial Vehicles

机译:小型无人机的风场估计

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This paper describes a method for estimating wind field (wind velocity, rate of change of wind velocity, and wind gradient) for small and mini unmanned aerial vehicles. The approach uses sensors that are already part of a standard autopilot sensor suite (Global Positioning System, inertial measurement unit, airspeed, and magnetometer). The primary motivation is enabling energy harvesting; a secondary motivation is development of a low-cost atmospheric measurement and sampling system. The paper presents an error analysis and discusses the primary contributions to error in the estimated wind field. Results of Monte Carlo simulations compare predicted errors in wind estimates with actual errors and show the effect of using estimated winds for energy harvesting from gusts.
机译:本文描述了一种估计小型和微型无人机飞行器的风场(风速,风速变化率和风梯度)的方法。该方法使用的传感器已经是标准自动驾驶仪传感器套件(全球定位系统,惯性测量单元,空速和磁力计)的一部分。主要动机是实现能量收集。次要动机是开发低成本的大气测量和采样系统。本文提出了误差分析,并讨论了估计风场中对误差的主要贡献。蒙特卡罗模拟的结果将风估算中的预测误差与实际误差进行了比较,并显示了使用估算风进行阵风能量收集的效果。

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