磁流变智能结构的微粒群优化控制

PSO control used in magnetorheological intelligent structures

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,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。并对一座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。

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.The particle swarm optimization（PSO） algorithm was thus used to control the displacement and the acceleration responses simultaneously.The numerical analysis of a five-floors structure with one MR damper installed on each floor was carried out,taking advantage of the PSO algorithm,the ON control algorithm and the OFF control algorithm respectively.It can be concluded that by use of the PSO algorithm the displacement responses of the structure can be reduced obviously,meanwhile,the acceleration responses of the structure can only be reduced to a certain extent.