阻尼可调半主动悬架自适应神经网络模糊控制

Adaptive neural network fuzzy control of semi-active suspension with adjustable damping

车辆在运行的过程当中,为了使行驶更加的平稳和顺滑,越来越多的汽车选择可变阻尼半主动悬架系统。文章利用Matlab/Simulink等软件进行模型设定,再在上述模型中引入模糊控制模块,用以控制车辆的行驶舒适性和平顺性。通过相关的仿真检测,在各种混合工况下,弹簧载荷的质量加速度的均方根值减少了10.5%,悬架动行程的均方根值则是减少了11.98%。

In the process of vehicle running,in order to make driving more smooth and smooth,more and more vehicles choose variable damping semi-active suspension system.In this paper,Matlab/Simulink and other software are used to set the model,and then the fuzzy control module is introduced into the model to control the driving comfort and ride comfort of the vehicle.Through the relevant simulation detection,under various mixed conditions,the RMS value of the mass acceleration of the spring load is reduced,and the RMS value of the dynamic travel of the suspension is reduced.