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.
出处
《噪声与振动控制》
CSCD
北大核心
2007年第4期4-6,共3页
Noise and Vibration Control
关键词
振动与波
隔振系统
神经网络
半主动控制
仿真
vibration and wave
isolation system
neural network
semi-active control
simulation
