摘要
为解决混合主动调谐质量阻尼器(Hybrid Active Tuned Mass Dampers,HATMD)中小质量块有较大冲程的问题,提出了增强混合主动调谐质量阻尼器(Enhanced Hybrid Active Tuned Mass Dampers,EHATMD)。具体地说,是在受控结构与HATMD中的小质量块之间设置一个连接阻尼器而构成EHATMD系统。在频域内,推导出结构-EHATMD系统的动力放大系数解析式,进而定义了EHATMD系统的最优化准则。使用遗传算法(Genetic Algorithm,GA),研究了连接阻尼比和正、负标准化加速度反馈增益系数对EHATMD(简称为正反馈EHATMD和负反馈EHATMD)最优参数和减振有效性以及大、小质量块冲程的影响行为。此外,为比较的目的,同时给出了正反馈HATMD和负反馈HATMD的GA优化结果。数值结果表明,EHATMD系统优于HATMD系统;而且,负反馈EHATMD是一种高性能的减振控制装置。
In order to solve the problem of large stroke needed for the smaller mass block of hybrid active tuned mass dampers( HATMD),enhanced hybrid active tuned mass dampers were proposed,referred to as EHATMD. To be specific,a linking dashpot was introduced between the controlled structure and smaller mass block in the HATMD to construct a EHATMD. In the frequency domain,the dynamic magnification factors( DMFs) of the structure furnished with the EHATMD were formulated,and then the criterion for the optimum searching was defined. By resorting to a genetic algorithm( GA),the influences of the linking damping ratio and the positive and negative normalized acceleration feedback gain factors( NAFGF) were scrutinized on the optimum parameters and control effectiveness as well as the strokes of both the lager and smaller mass blocks in the EHATMD. The EHATMDs withpositive and negative feedback NAFGFs are,respectively,called positive feedback EHATMD and negative feedback EHATMD for short. Furthermore,for the purpose of comparison,the study simultaneously renders the GA optimum results of the positive feedback HATMD and negative feedback HATMD. It is found in terms of numerical results thatthe EHATMD outperforms the HATMD.Likewise,the negative EHATMD is a high performance vibration control device.
作者
曹黎媛
李春祥
CAO Liyuan;LI Chunxiang(Department of Civil Engineering,Shanghai University,Shanghai 20044)
出处
《振动与冲击》
EI
CSCD
北大核心
2018年第14期38-43,107,共7页
Journal of Vibration and Shock
关键词
结构振动控制
调谐质量阻尼器
增强混合主动调谐质量阻尼器
高性能
遗传优化
structural vibration control
tuned mass damper
enhanced hybrid active tuned mass damper
high performance
geneticoptimization