【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。更多还原

【Abstract】 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.更多还原