摘要
在对被动悬架存在的问题进行分析的基础上,建立了1/4车辆模型的半主动悬架的运动微分方程,设计出了基于神经网络辨识器NNI和神经网络控制器NNC的半主动悬架的神经网络控制器,通过仿真结果可看出基于神经网络控制器的半主动悬架比被动悬架具有更好的减振性能,能使车辆具有更好的平顺性。
Based on the analysis of passive suspension,a quarter of vehicle model of semi-active suspension is established and neural network controller of semi-active suspension is designed based on the NNI and NNC. The simulation result shows that the semi-active suspension has better performance in damping property and ride comfort than passive suspension.
出处
《农业装备与车辆工程》
2009年第11期7-9,共3页
Agricultural Equipment & Vehicle Engineering
关键词
半主动悬架
神经网络
仿真
semi-active suspension
neural network
simulation
