基于Preisach模型直接递归算法的压电滞回在线辨识

M. Ruderman, D. Rachinskii
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引用次数: 3

摘要

最近在[1]中提出了一种直接递归识别方法来在线确定Preisach滞后密度函数;在b[2]中严格证明了它的收敛性。其中一个可能的应用领域涉及识别智能材料系统中的大规模滞后效应。本文讨论了直接递归辨识法在标准压电驱动平台中压电滞回量输入输出电压位移测量中的应用。通过事先设计的适当的陷波滤波器,以开环方式激励压电驱动器,从而抑制机械域的两个主导谐波,获得无动力副效应的滞后响应。应用的输入序列是一个简单的(无记忆的)伯努利过程,在实践中易于生成。该输入对实验设计和输入信号的控制/精度没有任何特殊要求。实验评价提供与一个设想的应用讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Online identification of piezoelectric hysteresis by direct recursive algorithm of Preisach model
A direct recursive identification method for determining online the Preisach hysteresis density function has been recently proposed in [1]; its convergence was rigorously proved in [2]. One of the possible application areas relates to the identification of large-scale hysteresis effects in smartmaterial systems. This paper discusses an application of the direct recursive identification method to the input-output voltage-to-displacement measurements of piezoelectric hysteresis in a standard piezo-actuated stage. We excite the piezoelectric actuator in an open-loop manner through an appropriate notch-filter, designed beforehand, so as to suppress two dominant harmonics of mechanical domain and obtain the hysteresis response without dynamical by-effects. The applied input sequence is a simple (memoryless) Bernoulli process which is easy to generate in practice. This input does not impose any special requirements on the experimental design and control/accuracy of the input signal. The experimental evaluation is provided along with a discussion of an envisaged application.
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