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基于智能算法的MR阻尼器半主动控制
Intelligent Algorithm Based Semi-Active Control of MR Dampers
【摘要】 研究了磁流变阻尼器作为控制装置的结构平移 -扭转耦联地震反应的半主动智能控制问题。直接使用微种群遗传算法优化控制信号 ,得出系统输出与控制信号之间的数值对应关系 ;然后通过训练神经网络把这些知识储存于神经网络的权值中 ,并在其它的地震输入下使用。计算实例结果表明 ,采用磁流变阻尼器对结构进行半主动控制能有效地减小结构的地震反应。
【Abstract】 In this paper, an application of Intelligent Control Algorithm to semi-active control of MR dampers is proposed for engineering structures. The control signal is optimized directly by the micro genetic algorithm to obtain the numerical relation between the control signal and the system output. And then, this relation is stored in the weight value of a trained artificial neural network, which can be used for another structure subjected to other seismic inputs. The results of an example indicate that the MR damper using semi-active control algorithm can efficiently reduce the structural responses induced by earthquakes.
【Key words】 intelligent control algorithm; semi-active control; magneto-rheological damper; neural network; micro genetic algorithm;
- 【文献出处】 振动工程学报 ,Journal of Vibration Engineering , 编辑部邮箱 ,2004年03期
- 【分类号】TU352.1
- 【被引频次】25
- 【下载频次】342