摘要
建立了采用 ER- MR阻尼器作斜拉索的基于神经网络的半主动控制方法。该方法采用离线训练好的神经网络兼作系统状态观测器和系统控制器 ,并根据 ER/ MR阻尼器特点 ,引入面向速度剪切的半主动控制策略 ,实现神经网络对斜拉索进行在线带自反馈的半主动控制。数值试验的结果表明 :采用神经网络进行半主动控制 ,能够达到很好的控制效果 ,整条斜拉索的振动都得到有效的抑制。
This paper reports a study on semi-active vibration control of stay cables using electro-magneto-rheological (ER-MR) dampers and adopting neural network control technique. Based on a finite element model of the cable, a neural network model is designed and trained to emulate the performance of the LQG controller. The trained neural network model is still a fully active controller but only a few response states are included as network inputs in the training process to simulate incomplete state observations. The fully active network controller is clipped to achieve the voltage value required to semi-actively control the cable vibration through ER-MR dampers. A numerical example of a 12 m-long stay cable specimen connected with a specifically designed low-force ER damper is provided to verify the effectiveness of the proposed control strategy.
出处
《振动工程学报》
EI
CSCD
北大核心
2003年第2期224-228,共5页
Journal of Vibration Engineering
基金
香港政府研究资助委员会资助
香港理工大学与浙江大学联合培养博士项目资助
