This paper presents a wind estimation method for a dual-rotor tail-sitter unmanned aerial vehicle with all flight phases. The large flight envelope and the slipstream generated by the propellers introduce extra challenges to estimating the wind field during flight for dual-rotor tail-sitter aircraft. In this method, a synthetic wind measurement is proposed based on a low-fidelity aircraft model and operated as a virtual sensor. This synthetic wind measurement and the data from the pitot tube are fused with an extended Kalman filter. The simulation and experimental results of the developed estimation method show a good estimation of the wind speed and direction in the hovering phase, transition, and cruising phases. The proposed wind estimation method was also tested in the hovering phase using the aerodynamic coefficients of NACA 0012 airfoil and a flat plate instead of the vehicle's model to provide a compromise solution for vehicles with no precise aerodynamic model.

中文翻译：

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尾座飞机的模型辅助风估计方法

本文提出了一种双旋翼尾座无人机全飞行阶段的风速估计方法。大的飞行包线和螺旋桨产生的滑流给双旋翼尾座飞机飞行过程中的风场估算带来了额外的挑战。在该方法中，基于低保真飞机模型提出了合成风测量，并作为虚拟传感器运行。这种合成风测量和来自皮托管的数据与扩展卡尔曼滤波器融合。所开发的估计方法的仿真和实验结果表明，在悬停阶段、过渡阶段和巡航阶段，风速和风向的估计良好。