磁流变智能结构的微粒群优化控制

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振动与冲击 ›› 2011, Vol. 30 ›› Issue (9) : 59-63.

论文

磁流变智能结构的微粒群优化控制

郭迎庆1; 徐赵东2; 费树岷3; 陈勇1

作者信息 +

PSO control used for magnetorheological intelligent structures

GUO Ying-qing1; XU Zhao-dong2; FEI Shu-min3; CHEN Yong1

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文章历史 +

摘要

在磁流变智能结构的减震控制中，结构的位移控制和加速度控制是其减震控制的两个重要控制目标，这就使得磁流变智能结构的减震控制成为了一多目标优化控制。为此，本文采用微粒群优化控制算法同时对磁流变智能结构的位移和加速度进行了最优控制分析，实现了磁流变智能结构多目标的优化减震控制。并对一每层各安装一个磁流变阻尼器的五层钢结构分别采用微粒群优化控制算法、ON控制算法和OFF控制算法进行了实例对比分析，结果表明：采用微粒群优化控制可显著地减小结构的位移反应，同时也可一定程度地减小结构的加速度反应。

Abstract

In the course of the vibration mitigation control of structures with magnetorheological (MR) dampers, the displacement and the acceleration responses are two important control targets. That is, the vibration mitigation control of structures with MR dampers is a multi-objective optimization control. Therefore, in this paper the particle swarm optimization (PSO) algorithm is used to control the displacement and the acceleration responses simultaneously. Numerical analysis for a five-floor structure with one MR damper installed on each floor is carried out under the PSO algorithm, the ON control algorithm and the OFF control algorithm respectively. It can be concluded that the PSO algorithm can reduce the displacement responses of the structure obviously, at the same time, it can reduce the acceleration responses of the structure to a certain extent.

导出引用

郭迎庆;徐赵东;费树岷;陈勇. 磁流变智能结构的微粒群优化控制[J]. 振动与冲击, 2011, 30(9): 59-63

GUO Ying-qing;XU Zhao-dong;FEI Shu-min;CHEN Yong. PSO control used for magnetorheological intelligent structures[J]. Journal of Vibration and Shock, 2011, 30(9): 59-63