基于类神经网络的磁流变主动振动控制研究

Research on Active Vibration Control of Magneto Rheological Class based on Neural Network

以类神经网络为基础进行磁流变主动振动控制,针对隔振系统自然频率与负载干扰记性振动抑制进行了研究,并分别利用回馈与前馈2种控制模式进行主动控制研究,其目的是为了降低系统自然频率共振与负载干扰的振动量。通过数值模拟与试验验证证实了运用类神经网络的主动控制抑制系统自然频率振动进行研究是可行的。

The paper did research on the active vibration control based on neural networks to suppress the vertical vibra-tion of a traditional passive vibration isolation system without and with significant disturbance respectively,and to look into the performance of active vibration control based on neural networks,by using feedback control and feedforward control re-spectively,the obj ect of active control was researched to reduce the vertical resonant vibration at natural frequency of the passive system.Through numerical simulation and experimental validation,confirmed that the research methods that the ac-tive vibration control based on neural networks restrains natural frequency of the passive system is feasible.