磁流变阻尼器的磁滞建模与实验验证

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
X. Bai, Peng Chen, Li-Jun Qian, An-Ding Zhu
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引用次数: 1

摘要

本文针对磁流变阻尼器的建模,在现象学模型的基础上,引入“归一化”概念,推导了归一化的现象学模型,并引入“归一化”概念,提出并实现了重构模型。为了证明这一点,采用多岛遗传算法(GA)对重构模型、归一化现象学模型和现象学模型的参数进行识别。研究结果表明,与现象学模型和归一化现象学模型相比,(1)重构模型不仅能有效减少模型参数的数量,降低模型的复杂性,而且能更准确地描述磁流变阻尼器的非线性滞后行为;(2)归一化现象学模型与现象学模型相比,能提高模型效率。虽然不如重组后的模型好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hysteresis modeling and experimental validation of a magnetorheological damper
In this paper, for modeling the MR dampers, based on the phenomenological model, a normalized phenomenological model is derived through incorporating a “normalization” concept and a restructured model is proposed and realized also with incorporation of the “normalization” concept. In order to demonstrate, a multi-islands genetic algorithm (GA) is employed to identify the parameters of the restructured model, the normalized phenomenological model as well as the phenomenological model. The research results indicate that, as compared with the phenomenological model and the normalized phenomenological model, (1) the restructured model not only can effectively decrease the number of the model parameters and reduce the complexity of the model, but also can describe the nonlinear hysteretic behavior of MR dampers more accurately, and (2) the normalized phenomenological model can improve the model efficiency as compared with the phenomenological model, although not as good as the restructured model.
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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