【摘要】 本文针对高层建筑风振控制问题,应用基于遗传算法优化模糊规则库的模糊控制方法,通过MR阻尼器实现减小高层建筑风振反应。采用双输入、单输出的模糊控制策略,即以风荷载和其变化率为输入量,以MR阻尼器所提供的控制力为输出量。利用基于遗传算法的优化的模糊规则库,根据作用模糊子集的推理方法进行模糊推理运算,并采用常用的重心法进行解模糊处理。以某12层框架结构为例,进行数值模拟分析,并与优化前的模糊控制策略和LQR最优控制策略进行比较。数值分析结果表明,利用遗传算法使优化模糊规则库得以优化,改善了模糊控制的效果,有效地减小了结构的风振反应。更多还原

【Abstract】 This paper studies the wind vibration control of high-rise structures installed with MR dampers,which are controlled by a fuzzy controller.The fuzzy rules for the controller are optimized by the genetic algorithm(GA) to enhance the efficiency of the control system.A fuzzy strategy of two-input and single-output variables is adopted in the control system.One of the input variables,which has five scales,is the wind pressure acting on the surface of the building.The other input variable is the differences between the wind pressures during each loading step,and the output variable is the control force of MR damper installed in the building.A functioning-fuzzy-subset homologous reasoning method is applied to achieve the control force based on the optimal fuzzy rules.The output fuzzy variable is defuzzificed by the method of gravity center.To validate the control efficiency of the proposed method,a 12-story building is analyzed as an example to simulate numerically the wind vibration responses of the building.The comparison study among the results of three cases control algorithms is also finished.The results of the simulations indicate that the fuzzy control strategy is most effective to reduce the wind-induced vibration response of the high-rise building.更多还原