基于AFCA的铁路桥梁光致伸缩驱动器半主动控制

为解决隔震桥梁在震后的梁体及支座位移过大的问题，采用光致伸缩驱动器（PA）为控制设备，基于Lyapunov稳定性理论设计了自适应模糊控制算法（AFCA），结合限幅最优控制算法（COCA）编制了符合PA的AFCA/COCA半主动控制算法的Matlab程序，利用程序对未隔震和LRB隔震桥梁分别进行了半主动、主动控制分析. 分析结果表明:AFCA/COCA的半主动控制策略及AFCA主动控制策略均能有效抑制未隔震和隔震桥梁的地震响应；均可有效解决隔震桥梁的梁体及支座位移过大的问题；其控制力曲线非常吻合，所施加于PA的上（左）、下（右）表面的控制光照强度均在容许范围内. 

Semi-Active Control with Photostrictive Actuator for Railway Bridges Based on Adaptive Fuzzy Control Algorithm

To reduce the large displacement of both bearing and girder in regard to seismically isolated railway bridges after the earthquake, the photostrictive actuator (PA) was used as a control device, and the adaptive fuzzy control algorithm (AFCA) was designed based on the Lyapunov stability theory. Combined with the clipped optimal control algorithm (COCA), Matlab program of AFCA & COCA semi-active control algorithm for PA was developed. The uncontrolled bridges and bridges controlled by LRB were contrastively analyzed by using AFCA & COCA semi-active control algorithm and AFCA active control algorithm, respectively. The results indicate that the AFCA & COCA semi-active control strategy and AFCA active control strategy can effectively reduce seismic responses of both uncontrolled bridges and bridges controlled by LRB. The semi-active control strategy and active control strategy can effectively reduce the large displacement of both bearing and girder for seismically isolated bridges. The control force curve of semi-active control strategy is in good agreement with the curve of active control strategy, and the control light intensity applied to the top or left and the bottom or right of PA are within the admissible range.