【摘要】 为了有效降低桥梁在震后出现的较大梁体及支座位移,提出变论域自适应模糊分散(VAFD)控制策略。首先设计出可以调节模糊控制策略的输入和输出变量论域的变论域自适应模糊(VAF)主动控制器;然后将改进的剪切最优(MCO)半主动控制算法整合到VAF控制器中,并结合分散控制策略设计出VAFD/MCO半主动控制器;最后以一座铅芯橡胶支座隔震铁路桥梁为算例,分别对其在无控制、Passive-on、VAFD/MCO、AFD/MCO和VAFG/MCO控制下的评价指标进行仿真计算。结果表明:VAFD/MCO策略的减震效果比Passive-on、AFD/MCO及VAFG/MCO策略的好;VAFD/MCO策略不占用计算资源,可用于实时振动控制。更多还原

【Abstract】 In order to effectively reduce the larger displacement of girder and bearing in railroad bridges after earthquakes,a variable universe adaptive fuzzy decentralized(VAFD) controller was proposed. Firstly,a variable universe adaptive fuzzy(VAF) active controller was designed,which can online adjust the universe of input and output variables in fuzzy logic control strategy. Secondly,a VAFD / MCO semi-active controller for MRD was designed by integrating the modified clipped optimal(MCO) semi-active control algorithm into the VAF controller and using decentralized control strategy. Finally,taking the railroad continuous girder bridges isolated by lead rubber bearing as an example,the evaluation criteria under non-control,Passive-on,VAFD / MCO and AFD / MCO control strategies were calculated respectively. The results show that the VAFD / MCO strategy has better reduction effect than Passive-on,AFD / MCO and VAFG / MCO strategies. The VAFD / MCO strategy does not occupy computation resource and can be used for real-time vibration control.更多还原