Characterizing Hysteresis Nonlinearity Behavior of SMA Actuators by Krasnosel'skii-Pokrovskii Model

IF 1.2 Q2 MATHEMATICS, APPLIED
M. Zakerzadeh, H. Sayyaadi, M. Zanjani
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引用次数: 26

Abstract

Krasnosel'skii-Pokrovskii (KP) model is one of the great operator-based phenomenological models which is used in modeling hysteretic nonlinear behavior in smart actuators. The time continuity and the parametric continuity of this operator are important and valuable factors for physical considerations as well as designing well-posed identification methodologies. In most of the researches conducted about the modeling of smart actuators by KP model, especially SMA actuators, only the ability of the KP model in characterizing the hysteretic behavior of the actuators is demonstrated with respect to some specified experimental data and the accuracy of the developed model with respect to other data is not vali- dated. Therefore, it is not clear whether the developed model is capable of predicting hysteresis minor loops of those ac- tuators or not and how accurate it is in this prediction task. In this paper the accuracy of the KP model in predicting SMA hysteresis minor loops as well as first order ascending curves attached to the major hysteresis loop are experimentally vali- dated, while the parameters of the KP model has been identified only with some first order descending reversal curves at- tached to the major loop. The results show that, in the worst case, the maximum of prediction error is less than 18.2% of the maximum output and this demonstrates the powerful capability of the KP model in characterizing the hysteresis nonlinear- ity of SMA actuators.
用Krasnosel - pokrovskii模型表征SMA作动器的迟滞非线性行为
Krasnosel - pokrovskii (KP)模型是一种基于算子的大型现象学模型,用于智能执行器的滞回非线性行为建模。该算子的时间连续性和参数连续性是物理考虑和设计适定辨识方法的重要和有价值的因素。在大多数利用KP模型对智能执行器,特别是SMA执行器进行建模的研究中,仅针对某些特定的实验数据证明了KP模型表征执行器滞后行为的能力,而所开发的模型相对于其他数据的准确性并没有得到验证。因此,目前尚不清楚所建立的模型是否能够预测这些调节器的滞后小回路,以及它在预测任务中的准确性如何。本文通过实验验证了KP模型在预测SMA磁滞小环和附着在主环上的一阶上升曲线的准确性,而KP模型的参数只在附着在主环上的一些一阶下降反转曲线上得到了确定。结果表明,在最坏情况下,KP模型的最大预测误差小于最大输出的18.2%,证明了KP模型在表征SMA致动器迟滞非线性方面的强大能力。
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来源期刊
Journal of Applied Mathematics
Journal of Applied Mathematics MATHEMATICS, APPLIED-
CiteScore
2.70
自引率
0.00%
发文量
58
审稿时长
3.2 months
期刊介绍: Journal of Applied Mathematics is a refereed journal devoted to the publication of original research papers and review articles in all areas of applied, computational, and industrial mathematics.
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