Reconstructing full-field flapping wing dynamics from sparse measurements
Reconstructing full-field flapping wing dynamics from sparse measurements
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DOI：
10.1088/1748-3190/abb0cb
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发表时间：
2020-06
影响因子：
3.4
通讯作者：
W. Johns;Lisa G. Davis;Mark A. Jankauski
中科院分区：
文献类型：
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作者：
W. Johns;Lisa G. Davis;Mark A. Jankauski
昆虫拍动的翅膀在飞行过程中会变形。这种变形有利于昆虫的空气动力生产和能量效率。然而，测量飞行昆虫的翅膀位移场是一个挑战。为了确定机翼的瞬时形状，必须跟踪机翼表面的许多点。为了减少需要跟踪的点的数量，我们提出了一种基于物理的重建方法，称为系统等效缩减扩展过程，以估计稀疏测量的机翼变形和应变。测量位置采用加权归一化模态位移法确定。我们通过实验验证了重建技术，在5-9赫兹以45°拍打纸翼，并在三个位置测量应变。两次测量用于重建，第三次用于验证。应变重建在振幅上的最大误差为30%。我们通过数值模拟将这种方法扩展到更真实的昆虫翅膀。研究表明，机翼位移可以通过稀疏位移或应变测量来估计，并且额外的传感器可以在空间上平均测量噪声以提高重建精度。这项研究有助于克服测量飞行昆虫的全场动力学的一些挑战，并为昆虫启发的拍打机器人的基于菌株的传感提供了一个框架。
Flapping insect wings deform during flight. This deformation benefits the insect’s aerodynamic force production as well as energetic efficiency. However, it is challenging to measure wing displacement field in flying insects. Many points must be tracked over the wing’s surface to resolve its instantaneous shape. To reduce the number of points one is required to track, we propose a physics-based reconstruction method called system equivalent reduction expansion processes to estimate wing deformation and strain from sparse measurements. Measurement locations are determined using a weighted normalized modal displacement method. We experimentally validate the reconstruction technique by flapping a paper wing from 5–9 Hz with 45° and measuring strain at three locations. Two measurements are used for the reconstruction and the third for validation. Strain reconstructions had a maximal error of 30% in amplitude. We extend this methodology to a more realistic insect wing through numerical simulation. We show that wing displacement can be estimated from sparse displacement or strain measurements, and that additional sensors spatially average measurement noise to improve reconstruction accuracy. This research helps overcome some of the challenges of measuring full-field dynamics in flying insects and provides a framework for strain-based sensing in insect-inspired flapping robots.