Studies on Subspace-based Modeling and Active Control for Flexible Structures Subjected to Seismic and Wind Disturbances

这项研究的目的有三个方面：（i）从输入和输出数据建立柔性结构（如高层建筑）的数学模型，该模型受到风和/或地震引起的加速度等随机干扰，（ii））开发主动控制算法，利用高层建筑的缩尺模型进行了试验研究，通过引入子空间-基于连续时间随机线性系统的系统辨识方法。至于控制算法，采用了功能分配控制（FAC）的方法，这也是由首席研究员开发的。FAC方法由两个控制器组成，其中一个控制器作用于随机振动。在1/200比例的实验模型上进行了主动控制实验 关于我们 基于子空间辨识建立的数学模型。本研究主要完成以下工作：（i）2004年度：利用输入输出数据，建立了系统的建模算法。建立了主动。并通过计算机仿真进行了验证。1/200比例的实验模型，用于50层、200 m高、占地面积40 x40 m^2的建筑。(ii)2005年度：构建了基于子空间的辨识算法，包括卡尔曼滤波器增益矩阵的估计。利用前一年建造的缩尺模型进行了实验。(iii)对于2006财年：使用计算机实现FAC并结合预测控制进行实验。双轴控制是通过在模型结构的顶部安装x轴和y轴驱动器来实现的。实验验证了该控制方法的有效性。少

The purpose of this research is threefold : (i) to establish the mathematical model from input and output data for flexible structures such as high-rise buildings subjected to such random disturbances as wind and/or earthquake-induced acceleration, (ii)) to develop the active control algorithm, and (iii) to perform the experiments using scale model of the high-rise building.The modeling of the structure was performed by introducing the subspace-based system identification method that was established by the head investigator for continuous-time stochastic linear systems. As for the control algorithm, the method of functionally assigned control (FAC) was employed which was also developed by the head investigator. The FAC method consists of two controllers one of which acts against the random vibrations due. to wind forces and the other against the earthquake-induced random forces :An experimental model of scale 1/200 was constructed and experiments of the active control were constructed … More based on the mathematical model established by subspace-based identification. The whole method of modeling and control was successfully established.The research has been done as follows:(i) For Fiscal 2004 : The modeling algorithm was established using the input and output data. Established the active. control method and checked by computer simulation works. An experimental model of scale 1/200 for the 50-story building of 200 m high with floor space 40x40 m^2.(ii) For Fiscal 2005 : Constructed the subspace-based identification algorithm including the estimation of the Kalman filter gain matrix. Experiments were conducted using the scale model that was constructed in the former year.(iii) For Fiscal 2006 : The experiments were performed with computer implementation of FAC incorporating with the predictive control. The bi-axial control was realized using the x-and y-axial actuators that were equipped at the top of the model structure. The effectiveness of the control method was verified by experiments. Less