三峡升船机结构振动智能控制试验研究  

Experimental investigation on intelligent control of Three Gorges ship-lifting structure

作　　者：陈静[1] 卢曰万[1] 涂建维[1] 唐盛[1] 

机构地区：[1]武汉理工大学自动化学院,湖北武汉430070

出　　处：《武汉大学学报（工学版）》2004年第3期102-105,118,共5页Engineering Journal of Wuhan University

基　　金：国家自然科学基金重点项目资助(50038010).

摘　　要：针对三峡升船机顶部厂房产生的地震鞭梢效应,利用dSPACE和Matlab/Simulink工具,建立屋盖智能隔震升船结构的控制方程和试验控制系统.运用MR阻尼器智能隔震的模糊神经网络控制算法,采用RCP技术对三峡升船机3层结构模型进行了模糊神经网络控制的振动台试验研究,验证了MR阻尼器智能隔震的模糊神经网络控制算法的有效性.dSPACE实时仿真系统提高了试验效率,取得了满意的效果.The control equation and experimental system of roof MR intellectual isolation system have been built according to the whiplash effect of the roof of the Three Gorges ship-lifting structure by dSPACE and Matlab/Simulink tools. The shaking table experiment on the structural model of the Three Gorges ship-lifting structure with fuzzy neural netwark algorithm is first implemented by using rapid control prototyping (RCP) technology. The dSPACE real-time simulation system advances efficiency of the experimentation. The experimental results show that the control effect of the fuzzy neural network algorithm for the MR intellectual isolation system is good.

关 键 词：实时仿真 DSPACE 模糊神经网络 MR阻尼器 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置]