动力机械隔振系统的神经网络半主动控制研究  

Neural Network Semi-active Control Study about Power Machine Isolation System

作　　者：李银川[1] 方开翔[1] 张云征[2] 

机构地区：[1]江苏科技大学机械与动力工程学院,江苏镇江212003 [2]山东菏泽生建机械厂,山东菏泽274030

出　　处：《噪声与振动控制》2007年第4期4-6,共3页Noise and Vibration Control

摘　　要：船舶动力机械隔振系统,结构复杂,易受环境影响,系统精确数学模型不易建立,运用ADAMS和MAT-LAB联合模拟建立机械被控系统台架模型,提出基于神经网络的振动半主动控制策略,设计神经网络控制器。仿真计算结果表明,与传统的被动控制相比,神经网络半主动控制策略对系统振动具有明显的抑制效果,证明所提控制策略的正确性和有效性。Considering the complex structure and environmental effect of the marine power machine isolation system,the systematic model has been set up using ADMAS and MATLAB in this paper,and a neural network semi-active control strategy has been proposed,the neural network controller has been designed.Compared with traditional passive control,the results indicate that the neural network semi-active control algorithm obviously reduces the vibration,and prove the correctness and validity of the control strategy.

关 键 词：振动与波 隔振系统 神经网络 半主动控制 仿真 

分 类 号：U664.1[交通运输工程—船舶及航道工程]