基于SMA-压电摩擦智能阻尼器的空间杆系结构优化控制

Optimization control of spatial frames based on SMA-piezoelectric smart friction damper

基于形状记忆合金(SMA)的超弹性特性和压电陶瓷(PZT)逆压电效应,设计了一种SMA-压电摩擦智能阻尼器。针对遗传算法局部搜索能力差,容易陷入早熟的缺陷,提出了一种改进的遗传算法,并以多模态控制性能指标作为优化准则,对一空间杆系结构的阻尼器布置进行了优化分析。采用线性二次型最优控制(LQR)算法,选取4个阻尼器,分析了未改进和改进后的两种最优布置方案对结构地震反应的控制效果。结果表明,改进后的遗传算法有更好的收敛性,更强的寻优能力,能使阻尼器得到更优的布置位置;改进的遗传算法得到的阻尼器优化布置方案可以更加有效地降低结构的地震峰值反应。

Based on the shape memory alloy super elastic properties and the inverse piezoelectric effect of piezoe- lectric ceramics, a kind of SMA-piezoelectric smart friction damper was designed. There are some limitations that using genetic algorithms. This paper presents an improved genetic algorithm. By using the multi-mode control per- formance index as tile optimization criterion, optimization of damper distribution was carried out on a spatial frame. By using linear quadratic regulator（LQR） algorithms, seismic response analysis of the optimal arrangement scheme of four dampers was done. The result showed that the improved genetic algorithm has a better convergence,stronger ability of optimization and get better arrangement. The damper optimization arrangement scheme of improved genetic algorithm can reduce the peak seismic response of structures more effectively.