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基于模糊神经网络系统的结构主动控制
Active Control of Structures Using Fuzzy Neural Network
【摘要】 目的应用自适应模糊神经网络对多维地震动下结构的振动进行主动控制.方法用这种自适应模糊神经网络作为主动控制器,以结构的位移和加速度作为输入,计算出主动控制力.结果将计算的主动控制力输入到结构的动力方程中,结构的位移响应有了较大幅度地减少.同被动控制相比有较大提高.结论自适应模糊神经网络是一种适用于对结构进行主动控制的智能算法。该控制系统无需引入结构的运动模型和精确参数;对复杂的结构易于建模;同被动控制相比其适应力强,消振迅速而且效果良好.
【Abstract】 This article holds the purpose that,by using ANFIS,the eccentricity framework structure under the multi-dimensional earthquake excitation will be controlled,and the controlling force will be mount out through that made ANFIS being the controlling device and inputs the velocity and acceleration.With the result that the displace of structure is reduced and compare the other method that is advance,it draws the conclusion that the ANFIS is fit to the structure that is control and this controller has a good capability of adapting changing environment and a good effect on reducing the vibration of the structure without knowing the models and parameters of the structure.
【Key words】 fuzzy neural network; active control; ANFIS; BP algorithm; earth quake; structure quake;
- 【文献出处】 沈阳建筑大学学报(自然科学版) ,Journal of Shenyang Architectural and Civil Engineering Institute , 编辑部邮箱 ,2005年02期
- 【分类号】TP183
- 【被引频次】10
- 【下载频次】220