Flapping‐Wing Dynamics as a Natural Detector of Wind Direction
Flapping‐Wing Dynamics as a Natural Detector of Wind Direction
复制标题
扑翼动力学作为风向的自然探测器
DOI：
10.1002/aisy.202000174
复制
发表时间：
2020
影响因子：
7.4
通讯作者：
Nakajima Kohei
中科院分区：
文献类型：
--
作者：
Tanaka Kazutoshi;Yang Shih-Hsin;Tokudome Yuji;Minami Yuna;Lu Yuyao;Arie Takayuki;Akita Seiji;Takei Kuniharu;Nakajima Kohei
扑翼无人机具有潜在的优势，例如通过利用风力消耗更低的能量。由于软翼的拍打运动包含了关于风的信息，测量翅膀每个部分的运动可以让这些飞行器区分风的方向。为了证实这一预测，本文提出了使用其机翼上的集成柔性应变传感器和物理水库计算分析来检测来自鸟类机器人的扑翼运动的风流。在不同风向的情况下，使用柔性应变传感器测量扑翼的运动，并通过利用固有的机翼动力学来检测当前风向。结果发现，使用我们的嵌入式柔性应变传感器的检测精度非常高，显示出与从环境中的固定位置记录的高速相机相似的精度水平。结果表明，扑翼无人机可以通过利用其机翼的自然动力来识别风向。
Flapping‐wing unmanned aerial vehicles have potential advantages, such as consuming lower energy by leveraging the force of wind. Since the flapping movements of the soft wings contain information about the wind, measuring the movement of each part of the wings allows these vehicles to distinguish the direction of the wind. To confirm this prediction, herein, the detection of wind flow from the flapping‐wing motion of a bird robot using an integrated flexible strain sensor on its wing and a physical reservoir computing analysis is presented. In the presence of different wind directions, the movement of the flapping‐wings is measured using flexible strain sensors, and the current wind direction is detected by capitalizing on the intrinsic wing dynamics. As a result, it is found that the detection accuracy using our embedded flexible strain sensors is significantly high, showing a similar level of accuracy with a high‐speed camera recorded from the fixed position in the environment. The results indicate that flapping‐wing unmanned aerial vehicles can recognize wind direction by exploiting the natural dynamics of their wings.
影响因子：
3.9
作者：
Nakajima, K.;Li, T.;Pfeifer, R.
通讯作者：
Pfeifer, R.
影响因子：
56.9
作者：
Nakata, Toshiyuki;Phillips, Nathan;Bomphrey, Richard J.
通讯作者：
Bomphrey, Richard J.