建筑结构地震响应半主动控制的遗传-模糊算法  

Genetic-fuzzy algorithm of building seismic response semi-active control

作　　者：汪权[1] 王建国[1] 

机构地区：[1]合肥工业大学土木与水利工程学院,安徽合肥230009

出　　处：《地震工程与工程振动》2010年第6期127-133,共7页Earthquake Engineering and Engineering Dynamics

基　　金：国家自然科学基金项目(10572046);合肥工业大学博士专项基金(2010HGBZ0605)

摘　　要：本文针对建筑结构地震响应半主动控制问题,应用基于遗传算法优化模糊规则库的遗传—模糊控制方法,通过MR阻尼器实现减小建筑结构地震响应。将结构的位移和加速度响应峰值控制双重指标作为目标函数,运用遗传算法的基本操作得到一组优化的模糊推理规则。以结构位移、加速度、地震加速度信号作为输入量,以MR阻尼器所提供的控制力为输出量,分别构造单阻尼器和多阻尼器的模糊控制策略。以某3层和6层框架结构为例,分别对两种遗传—模糊控制算法进行数值仿真分析,并与LQR最优控制结果进行比较。数值分析结果表明,采用遗传—模糊算法能够有效地减小结构的地震响应。This paper studies the seismic response semi-active control of building 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）. The control objective is to minimize both the peak displacement and acceleration responses of the buildings. Two input variables are chosen from displacement, acceleration responses, and earthquake signal. The output variable is the control force of MR damper installed in the building. The fuzzy control strategies of single and multiple damper cases are formulated based on the optimal fuzzy rules. To validate the control efficiency of the proposed genetic-fuzzy control method, a 3-story and a 6-story buildings are analyzed as examples to simulate numerically the seismic responses of the buildings. The comparison between the results of LQR control and the genetic-fuzzy control algorithms is also finished. The results of the simulations indicate that the genetic-fuzzy control strategy is effective to reduce the seismic responses of the building structures.

关 键 词：建筑结构 地震响应 模糊逻辑 半主动控制 遗传算法 

分 类 号：P315.9[天文地球—地震学] TP273.4[天文地球—固体地球物理学]