Time delay is an important studying aspect in real-time substructure testing with shaking table. Time delay can affect accuracy and stability of a testing system, and even cause divergence of calculation results. In modern control theory, neural network is an effective way to compensate time delay. Here, it was used to predict a signal exerted on actuator of a shaking table. Through simulations, it was found that its effect of compensation on time delay is significant.%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.
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