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随机系统辨识在电活性聚合物柔顺性研究中的应用。

Application of stochastic system identification to the study of the compliance of electroactive polymers.

作者信息

Pillai Priam V, Hunter Ian W, Hernandez Emanuel

机构信息

Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.

出版信息

Rev Sci Instrum. 2011 Feb;82(2):025103. doi: 10.1063/1.3523054.

Abstract

Electroactive polymers have shown promising applications as transducers that can mimic biological muscle. The modulus or the compliance of many of these devices can change significantly as they are actuated making these materials attractive for applications that require tunable stiffness. We have developed a dynamic mechanical analyzer that is capable of making in situ measurements of the dynamic compliance transfer function of conducting polymers as a function of an electrochemical stimulus. We do this by simultaneously applying a stochastic stress waveform over a potential waveform and calculating the compliance as it changes over the course of electrochemical excitation. Using these signals we can calculate the compliance transfer function between 0.1 and 100 Hz and the impulse response function with up to 3% variation in its parameters. These functions are then computed as charge is injected into the polymer and it is shown that the low frequency gain of the transfer function can change by 30%-40% in the electrochemical system tested.

摘要

电活性聚合物作为能够模拟生物肌肉的换能器已展现出有前景的应用。这些器件中的许多在被驱动时其模量或柔顺性会发生显著变化,使得这些材料对于需要可调刚度的应用具有吸引力。我们开发了一种动态力学分析仪,它能够原位测量导电聚合物的动态柔顺性传递函数随电化学刺激的变化。我们通过在电位波形上同时施加随机应力波形,并在电化学激发过程中计算其变化时的柔顺性来实现这一点。利用这些信号,我们可以计算0.1至100Hz之间的柔顺性传递函数以及参数变化高达3%的脉冲响应函数。然后在向聚合物注入电荷时计算这些函数,结果表明在所测试的电化学系统中,传递函数的低频增益可变化30%-40%。

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