遗传算法优化的非线性钢结构模糊控制研究  

Genetic algorithm optimized fuzzy control of nonlinear steel structure

作　　者：张永兵[1] 梁星云[1] 唐滢[1] 陈立星[1] 

机构地区：[1]广西大学土木建筑工程学院,广西南宁530004

出　　处：《广西大学学报（自然科学版）》2016年第1期107-113,共7页Journal of Guangxi University（Natural Science Edition）

基　　金：广西自然科学基金资助项目(2013GXNSFBA019236);广西科技攻关计划项目(桂科攻12426001-5);"广西防灾减灾与工程安全重点实验室"系统性研究项目(2013ZDX10);广西大学科研项目(土科基-2012-03)

摘　　要：采用遗传算法优化模糊控制算法的隶属函数及比例因子,通过压电变摩擦阻尼器实现减少非线性钢结构的地震响应。采用双输入单输出的模糊控制器,选取结构的层间位移的绝对值、层间速度的绝对值作为模糊控制器的输入变量,输出变量为作用电压,选取三角形函数作为输入、输出变量的隶属度函数,使用遗传算法对隶属函数及比例因子做出优化。以3层非线性钢结构地震响应为例,分别对模糊控制算法及遗传算法优化后模糊控制算法进行数值分析,结果表明:经遗传算法优化后的模糊控制,进一步降低了非线性钢结构的加速度和位移等响应。Membership functions and scaling factors of fuzzy logic controller wereoptimized by the genetic algorithm. The piezoelectric friction damper wasregarded as the control device,and an optimized fuzzy control algorithm was proposed to reduce the seismic response of nonlinear steel structures. Fuzzy controller based on dual inputs and single output,absolute value of interstory drifts and interstory velocities wereselected as input variables; voltages wereselected as output variables; triangular shapes wereselected as input and output variables of membership functions. Membership functions and scaling factors of fuzzy logic controller wereoptimized by thegenetic algorithm. A 3-story nonlinear steel structure wasanalyzed to simulate numerically the seismic responses under an optimized fuzzy logic controller. Numerical analysis results show that the fuzzy logic controllers optimized by genetic algorithm are effective in reduction of both acceleration and displacement responses of nonlinear steel structures.

关 键 词：钢结构 振动控制 模糊控制 遗传算法 

分 类 号：P315.966[天文地球—地震学] TU352.11[天文地球—固体地球物理学]