Wireless and distributed sensing of the shape of morphing structures
Wireless and distributed sensing of the shape of morphing structures
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DOI：
10.1016/j.sna.2007.06.026
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发表时间：
2007-10-01
影响因子：
4.6
通讯作者：
Baz, A.
中科院分区：
文献类型：
--
作者：
Akl, W.;Poh, S.;Baz, A.
监控变形结构的形状对于它们的有效和安全操作是必不可少的。然而，目前的传感系统，如光纤传感器是昂贵的，易碎的，不适合监测大的形状变化，而不容易发生故障或性能下降。因此，提出了一种不受这些严重限制的新型传感器。传感器系统的操作依赖于嵌入这些结构的复合织物中的特殊配置的分布式电线网络。传感器网络的输出被无线传输到控制处理器，以计算变形的整个表面上的线性和角偏转、形状和应变分布图。挠度和形状信息对于确定结构是否正确部署至关重要。应变图可确保结构不会承受过大的载荷，从而对其使用寿命产生不利影响。利用非线性有限元理论，建立了梁式变形结构传感器网络的控制方程。由此产生的g方程将为传感器提供其独特的插值能力，使得可以映射变形结构的整个表面上的线性和角偏转以及应变场分布。在静态和动态负载条件下的传感器网络的理论和实验特性。所获得的结果被用来证明这种新的传感器作为一种可行的手段，用于监测1D变形结构的偏转的优点和潜力。集成所提出的传感器网络与支持电子设备和柔性致动器阵列，将使一个独立的，主动控制，自主操作的新一代变形的发展。(C)2007 Elsevier B.V.保留所有权利。
Monitoring the shape of morphing structures is essential for their effective and safe operation. However, current sensing systems such as fiber optic sensors are expensive, brittle, and unsuitable for monitoring large shape changes without being susceptible to failure or performance degradation. Therefore, a new class of sensors that does not suffer from these serious limitations is presented. The sensor system relies in its operation on a specially configured distributed network of wires that is embedded in the composite fabric of these structures. The output of the sensor network is wirelessly transmitted to a control processor to compute the linear and angular deflections, the shape, and maps of the strain distribution over the entire surface of the morphing. The deflection and shape information are vital to ascertain that the structure is properly deployed. The strain map ensures that the structure is not loaded excessively to adversely affecting its service life. The equations governing the operation of the sensor network are developed for a beam-like morphing structure using the non-linear theory of finite elements. The resultin,g equations will provide the sensor with its unique interpolation capabilities that make it possible to map the linear and angular deflection and strain field distribution over the entire surface of the morphing structure. The theoretical and experimental characteristics of the sensor network are determined under static and dynamic loading conditions. The results obtained are used to demonstrate the merits and potential of this new class of sensors as a viable means for monitoring the deflections of 1D morphing structures. Integration of the proposed sensor network with the supporting electronics and with arrays of flexible actuators will enable the development of a self-contained, actively controlled, and autonomously operating new generation of morphing. (C) 2007 Elsevier B.V. All rights reserved.