斜拉桥-EMD系统智能模型及控制仿真研究  

Simulation of Intelligent Model and Active Control of Cable-stayed Bridge with EMD Systems

作　　者：何敏[1] 王建国[1] 

机构地区：[1]合肥工业大学土木与水利工程学院,合肥230009

出　　处：《系统仿真学报》2010年第7期1632-1635,共4页Journal of System Simulation

基　　金：国家自然科学基金(10572046);安徽省自然科学基金(050440504);合肥工业大学科学研究发展基金(060801F);合肥工业大学博士专项基金(GDBJ2009-032)

摘　　要：基于智能算法建立斜拉桥-EMD控制系统的智能模型,并对其进行了智能主动控制的数值仿真。首先利用遗传算法优化BP神经网络的权值和阈值,由仿真数据建立斜拉桥-EMD控制系统的智能模型,代替传统的有限元模型对桥梁结构进行动力分析;然后综合模糊逻辑推理和神经网络理论设计智能主动控制策略,对智能模型进行智能主动控制,数值仿真结果表明:此方法振动控制效果良好,可以有效抑制桥梁结构地震波激励下的结构动力反应。Intelligent model of a cable-stayed bridge with electromagnet-drived AMD control systems was proposed based on the intelligent algorithm,and the numerical simulation applying intelligent active control strategy was proposed.Firstly,the weights and the threshold values of the BP neural network were optimized using the genetic algorithm,and intelligent model of a cable-stayed bridge with EMD control systems was established by the simulated results extracted from the benchmark control problem of the Emerson Memorial Bridge.The innovation of the new intelligent model was to analyze the dynamic response of the bridge structure under seismic excitation,and to be substituted for conventional finite element model.Ultimately,the intelligent active control strategy was proposed adopting the fuzzy logic and the neural network.The control performance of the proposed methodology was evaluated for the Emerson Memorial Bridge.The simulated results show that the proposed intelligent active control technique can effectively mitigate the seismic response of cable-stayed bridges.

关 键 词：EMD系统 斜拉桥 智能模型 智能控制 GA-BP神经网络 模糊神经网络 

分 类 号：TU352.1[建筑科学—结构工程]