Hinson Brian T, Morgansen Kristi A
William E. Boeing Department of Aeronautics and Astronautics, University of Washington, Box 352400, Seattle, WA 98195-2400, USA.
Bioinspir Biomim. 2015 Oct 6;10(5):056013. doi: 10.1088/1748-3190/10/5/056013.
The wings of the hawkmoth Manduca sexta are lined with mechanoreceptors called campaniform sensilla that encode wing deformations. During flight, the wings deform in response to a variety of stimuli, including inertial-elastic loads due to the wing flapping motion, aerodynamic loads, and exogenous inertial loads transmitted by disturbances. Because the wings are actuated, flexible structures, the strain-sensitive campaniform sensilla are capable of detecting inertial rotations and accelerations, allowing the wings to serve not only as a primary actuator, but also as a gyroscopic sensor for flight control. We study the gyroscopic sensing of the hawkmoth wings from a control theoretic perspective. Through the development of a low-order model of flexible wing flapping dynamics, and the use of nonlinear observability analysis, we show that the rotational acceleration inherent in wing flapping enables the wings to serve as gyroscopic sensors. We compute a measure of sensor fitness as a function of sensor location and directional sensitivity by using the simulation-based empirical observability Gramian. Our results indicate that gyroscopic information is encoded primarily through shear strain due to wing twisting, where inertial rotations cause detectable changes in pronation and supination timing and magnitude. We solve an observability-based optimal sensor placement problem to find the optimal configuration of strain sensor locations and directional sensitivities for detecting inertial rotations. The optimal sensor configuration shows parallels to the campaniform sensilla found on hawkmoth wings, with clusters of sensors near the wing root and wing tip. The optimal spatial distribution of strain directional sensitivity provides a hypothesis for how heterogeneity of campaniform sensilla may be distributed.
烟草天蛾(Manduca sexta)的翅膀上排列着一种名为钟形感器的机械感受器,用于编码翅膀的变形。在飞行过程中,翅膀会因各种刺激而变形,这些刺激包括翅膀扑动运动产生的惯性弹性载荷、空气动力载荷以及由干扰传递的外部惯性载荷。由于翅膀是可驱动的柔性结构,应变敏感的钟形感器能够检测惯性旋转和加速度,这使得翅膀不仅能作为主要的驱动装置,还能作为飞行控制的陀螺传感器。我们从控制理论的角度研究烟草天蛾翅膀的陀螺传感。通过建立柔性翅膀扑动动力学的低阶模型,并运用非线性可观性分析,我们表明翅膀扑动中固有的旋转加速度使翅膀能够充当陀螺传感器。我们使用基于仿真的经验可观性格拉姆矩阵,计算出作为传感器位置和方向灵敏度函数的传感器适应性度量。我们的结果表明,陀螺信息主要通过翅膀扭转产生的剪切应变进行编码,其中惯性旋转会导致内旋和外旋时间及幅度发生可检测的变化。我们解决了一个基于可观性的最优传感器放置问题,以找到用于检测惯性旋转的应变传感器位置和方向灵敏度的最优配置。最优传感器配置与在烟草天蛾翅膀上发现的钟形感器相似,在翅膀根部和翅膀尖端附近有传感器簇。应变方向灵敏度的最优空间分布为钟形感器的异质性可能如何分布提供了一个假设。