首页> 外文期刊>Probabilistic engineering mechanics >Semi-active control of wind excited building structures using MR/ER dampers
【24h】

Semi-active control of wind excited building structures using MR/ER dampers

机译:使用MR / ER阻尼器对风振建筑结构进行半主动控制

获取原文
获取原文并翻译 | 示例
           

摘要

A semi-active control strategy for building structures subject to wind loading and controlled by MR/ER dampers is proposed. The power spectral density (PSD) matrix of the fluctuating part of wind velocity vector is diagonalized in the eigenvector space. Each element of the diagonalized PSD matrix is modeled as a set of second-order linear filter driven by white noise. A Bingham model for MR/ER dampers is used. The forces produced by MR/ER dampers are split into passive and active parts and the passive part is combined with structural damping forces. A set of partially averaged Ito equations for controlled modal energies are derived by applying the stochastic averaging method for quasi-integrable-Hamiltonian systems. The optimal control law is then determined by using the stochastic dynamical programming principle and the cost function is so selected that the optimal control law can be implemented by the MR/ER dampers. The response of semi-active controlled structures is predicted by using the reduced Fokker-Planck-Kolmogorov equation associated with fully averaged Ito equations of the controlled structures. A comparison with clipped linear quadratic Gaussian (LQG) control strategy, for an example, shows that the proposed semi-active control strategy for MR/ER dampers is superior to clipped LQG control strategy.
机译:提出了一种受风荷载并受MR / ER阻尼器控制的建筑结构的半主动控制策略。风速向量波动部分的功率谱密度(PSD)矩阵在特征向量空间中被对角化。对角化的PSD矩阵的每个元素都被建模为一组由白噪声驱动的二阶线性滤波器。使用用于MR / ER阻尼器的Bingham模型。 MR / ER阻尼器产生的力分为被动部分和主动部分,被动部分与结构阻尼力结合在一起。应用准可积分Hamiltonian系统的随机平均方法,导出了一组用于控制模态能量的部分平均的Ito方程。然后,使用随机动态规划原理确定最佳控制律,并选择成本函数,以使MR / ER阻尼器可以实现最佳控制律。通过使用与受控结构的完全平均Ito方程关联的简化Fokker-Planck-Kolmogorov方程,可以预测半主动受控结构的响应。例如,与限幅线性二次高斯(LQG)控制策略进行比较,表明所提出的MR / ER阻尼器的半主动控制策略优于限幅LQG控制策略。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号