Rate-Dependent Hysteresis Model of Piezoelectric using Singularity Free Prandtl-Ishlinskii Model

U. Tan, W. T. Latt, C. Shee, W. T. Ang
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引用次数: 10

Abstract

Actuators using advance materials like piezoelectric and shape memory alloy are gaining popularity in applications involving high frequency, high precision and also when there's a need in compactness. As time is required for the switching of polarization, the phenomena hysteretic behavior of these materials changes with rate. Most present hysteresis models are based on rate-independent assumption and cannot be applied for non-periodic applications. To make matters worse, the hysteresis actually becomes ill-conditioned when the velocity is high at the turning point. This paper proposes a phenomena rate-dependent model using a modified Prandtl-Ishlinskii (PI) operator without singularity to model the behavior of piezoelectric actuators, even when subjected to varying frequency signals. Past work had shown that the weights of the Prandtl-Ishlinskii operators vary linearly with velocity when the velocity is less than 900mum/s. As the first weight becomes negative when operating at higher frequencies, the threshold value has to be kept large to avoid the singularity problem when computing the inverse Prandtl-Ishlinskii model. Similar ill-conditioned problems also arise when the actuators are subjected to heavy loads. Thus, this paper proposes extensions to the PI operator by mapping the hysteresis data through a linear transformation onto a domain where the singularity problem is removed. The inverse weights are obtained and subsequently used to compute the inverse hysteresis model and implemented as an open-loop feedforward control of a piezoelectric actuator.
基于无奇异Prandtl-Ishlinskii模型的压电滞回率相关模型
使用压电和形状记忆合金等先进材料的致动器在涉及高频、高精度以及需要紧凑性的应用中越来越受欢迎。由于极化开关需要时间,这些材料的滞回现象随速率变化。目前大多数迟滞模型都是基于速率无关的假设,不能应用于非周期应用。更糟糕的是,当拐点处的速度很高时,迟滞实际上会变得病态。本文提出了一种现象率相关模型,使用改进的无奇点Prandtl-Ishlinskii (PI)算子来模拟压电致动器的行为,即使受到频率变化的信号。以往的研究表明,当速度小于900mum/s时,Prandtl-Ishlinskii算子的权重随速度线性变化。由于在较高频率下工作时,第一权重变为负值,因此在计算逆Prandtl-Ishlinskii模型时,必须保持较大的阈值以避免奇异性问题。类似的病态问题也出现在执行机构受到重载时。因此,本文提出了PI算子的扩展,通过线性变换将迟滞数据映射到一个奇异问题被消除的域上。得到逆权值,利用逆权值计算逆滞回模型,实现压电驱动器的开环前馈控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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