Integrated sensing and actuation of dielectric elastomer actuator-猫眼课题宝

DOI：

10.1117/12.2262358

发表时间：

2017-04

期刊：

影响因子：

通讯作者：

中科院分区：

其他

文献类型：

作者：

Zhihang Ye;Zheng Chen

介电弹性体（DE）是一种柔性驱动材料，其形状可以在电压激励下改变。DE材料在涉及能量收集器、微操纵器和自适应光学的应用中具有巨大的潜力。本文设计并制作了一种集成传感和驱动的条形DE驱动器，并通过实验进行了表征。考虑到作动器的电容式结构及其变形机理，通过作动器的电路特性来检测作动器的位移是一种很有潜力的方法。提出了一种在驱动信号中加入高频探测信号的自检测方案。采用快速傅里叶变换（FFT）算法提取探测信号的幅值变化，采用非线性拟合和人工神经网络（ANN）方法反映探测信号与执行器位移之间的关系。实验结果表明，该结构具有自感知和驱动的能力，同时进行。使用增强的ANN，自感知方案可以实现2.5%的准确度。

Dielectric elastomer (DE) is a type of soft actuating material, the shape of which can be changed under electrical voltage stimuli. DE materials have great potential in applications involving energy harvesters, micro-manipulators, and adaptive optics. In this paper, a stripe DE actuator with integrated sensing and actuation is designed and fabricated, and characterized through several experiments. Considering the actuator’s capacitor-like structure and its deform mechanism, detecting the actuator’s displacement through the actuator’s circuit feature is a potential approach. A self-sensing scheme that adds a high frequency probing signal into actuation signal is developed. A fast Fourier transform (FFT) algorithm is used to extract the magnitude change of the probing signal, and a non-linear fitting method and artificial neural network (ANN) approach are utilized to reflect the relationship between the probing signal and the actuator’s displacement. Experimental results showed this structure has capability of performing self-sensing and actuation, simultaneously. With an enhanced ANN, the self-sensing scheme can achieve 2.5% accuracy.

Integrated sensing and actuation of dielectric elastomer actuator

文献摘要

相似文献