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基于虚拟仪器的振动台迭代学习系统设计

Design of Shaking Table Iterative Learning System Based on Virtual Instrument

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【作者】 安欣高峰杨巧玉杨学山

【Author】 AN Xin;GAO Feng;YANG Qiao-yu;YANG Xue-shan;Institute of Engineering Mechanics,China Earthquake Administration, Key Laboratory of Earthquake Engineering and Engineering Vibration of China Earthquake Administration;Harbin University of Science and Technology,Measurement and Control Technology and Instrument Key Laboratory of Heilongjiang Province;

【通讯作者】 高峰;

【机构】 中国地震局工程力学研究所中国地震局地震工程与工程振动重点实验室哈尔滨理工大学测控技术与仪器黑龙江省高校重点实验室

【摘要】 为提高振动台地震波信号的复现精度,结合虚拟仪器和带遗忘因子的迭代学习控制算法,设计振动台迭代学习控制系统,提高复现精度的同时,实现包括功率谱估计、数据同步采集、存储、报表、波形相关度估计等多种功能。通过广元石井地震波台面复现结果表明,系统实现了相应功能,运行效果良好,复现精度超过95%以上。

【Abstract】 In order to improve the reproduction accuracy of seismic wave signal of shaking table, combined with virtual instrument and iterative learning control algorithm with forgetting factor, the iterative learning control system of shaking table was designed to improve the reproduction accuracy at the same time.It realizes many functions, such as power spectrum estimation, data synchronous acquisition, data storage, report, waveform correlation estimation and so on.The measured recurrence results of Guangyuan Shijing seismic wave table show that the system has realized the corresponding function, the operation effect is good, and the recurrence accuracy is more than 95%.

【基金】 中央级公益性研究所基本科研业务费专项项目(2020B04);国家重点研发计划资助项目(2017YFC1500805)
  • 【文献出处】 仪表技术与传感器 ,Instrument Technique and Sensor , 编辑部邮箱 ,2021年07期
  • 【分类号】P315.7
  • 【下载频次】118
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