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

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MATLAB联合模拟建立了机械被控系统台架模型，提出了基于神经网络的振动半主动控制策略，设计了神经网络控制器。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，证明了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.