理论(学习稳定性)
运动学
公制(单位)
拍打
边界(拓扑)
集合(抽象数据类型)
特质
计算机科学
数学
非线性系统
空气动力学
空格(标点符号)
纵向静稳定性
人工智能
参数空间
控制理论(社会学)
机器人学
生物系统
度量空间
复杂动力学
特征(语言学)
机器人
昆虫飞行
作者
Owen C. Wetherbee,Z Jane Wang
标识
DOI:10.1073/pnas.2533138123
摘要
Understanding flight evolution requires quantifiable metrics. The complex flight dynamics and the vast morphological space insects have explored make it extremely challenging to define and understand what combinations of traits lead to these successful flyers. In this work, we constructed a mathematically tractable free-flight model, including the nonlinear wing-body coupling, to elucidate the effect of morphology on flight stability. Using this model to simulate almost a million different forms, we identified a region of passively stable upward flight, in addition to generic unstable flight. Analyzing the stability boundary in the 5D morphological and kinematic space, we found a set of explicit criteria that approximate the stability transitions, and expressed them in terms of two physically interpretable constraints. These two stability criteria provide a succinct metric for stability, quantifying the distance of an insect from the stable region directly from morphology, thus organizing a complex flight trait in a reduced and physically interpretable space. As such, they provide a framework for designing stable flapping-wing robots and for quantification of a critical phenotypic flight trait on top of the established phylogenetic relationships among insects.
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