神经网络在振动台子结构试验中的应用

周大兴;闫维明;陈彦江;唐贞云;李振宝

振动与冲击 ›› 2011, Vol. 30 ›› Issue (12) : 14-18.

PDF(2117 KB)
PDF(2117 KB)
振动与冲击 ›› 2011, Vol. 30 ›› Issue (12) : 14-18.
论文

神经网络在振动台子结构试验中的应用

  • 周大兴;闫维明;陈彦江;唐贞云;李振宝
作者信息 +

Application of neural network in real-time substructure testing with shaking table

  • ZHOU Da-xing; YAN Wei-ming;CHEN Yan-jiang; TANG Zhen-yun; LI Zhen-bao
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摘要

振动台子结构试验的一个重要研究内容是试验系统的时滞与补偿。时滞会影响试验的精度、系统的稳定,甚至造成计算结果的发散。在现代控制理论中,神经网络是解决时滞问题的一个有效工具。在振动台子结构试验中,可以利用神经网络对作动器的信号进行预测。通过仿真分析发现,神经网络的时滞补偿效果显著。

Abstract

Studying on time delay is an important aspect in real-time substructure testing with shaking table. Time delay will affect the accuracy and the stability of the system, and even cause divergence. In modern control theory, neural network is the effective way to compensate time delay. So, it can be used to predict the signal applied to the actuator of the shaking table. According to the simulation, the effect of compensation is significant.

关键词

神经网络 / 振动台子结构试验 / 时滞补偿

Key words

neural network / real-time substructure testing with shaking table / compensation of time delay

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周大兴;闫维明;陈彦江;唐贞云;李振宝. 神经网络在振动台子结构试验中的应用[J]. 振动与冲击, 2011, 30(12): 14-18
ZHOU Da-xing;YAN Wei-ming;CHEN Yan-jiang;TANG Zhen-yun;LI Zhen-bao. Application of neural network in real-time substructure testing with shaking table[J]. Journal of Vibration and Shock, 2011, 30(12): 14-18

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