运用智能材料对结构进行抗震主动控制是一个前沿课题，但是目前大多局限于单个构件或者理论推导上，由于建筑结构的复杂性和离散性，进行相关的实验研究是必要的，本文结合一三层智能结构主动控制实验，进行了主动杆件设计，优化以及基于模态的控制；研究表明，主动控制效果与结构参数和布置位置关系密切，而与地震波无关；通过控制作用，结构各层的位移和加速度特别是响应剧烈的峰值得到了很大程度的抑制；主动控制时，基于遗传算法的优化可以高效的实现全局优化，而避免陷入局部优化.

Using intelligent materials for the structure seismic active control is a new frontier, the current research is mostly confined to the single component or theoretical derivation. Considering the complexity and discrete of the structures, experimental study is necessary. Based on a three-layer intelligence space structure active control experiment, the paper design the driving lever, and optimize the layout position and gain value;The research shows that active control effect close relations with the structural parameters and layout position, but with no difference because of the different seismic wave; Through the active control, the peak value of displacement and acceleration for each layer, especially the most severe which got greatly restrained; the optimization based on genetic algorithms is efficient and the global optimization.