【摘要】 为提高汽车的平顺性和操纵稳定性,设计了以电液比例阀半主动减振器为控制对象,采用自适应神经网络控制方法的半主动悬架系统。在对电液比例阀减振器阻尼力变化规律进行分析的基础上,建立了基于电液比例阀减振器的半主动悬架模型,采用神经网络自适应控制方法对模型进行了研究。路面输入采用积分白噪声模拟B级路面谱,以簧载质量垂向加速度、悬架动行程以及轮胎动载荷作为评价指标。利用Matlab/Simulink工具箱进行仿真,结果表明,设计的半主动悬架与被动悬架相比,其平顺性与稳定性均得到了良好的改善。更多还原

【Abstract】 In order to improve vehicle’s running smoothness and driving stability,electro-hydraulic proportional valve semi-active damper is put forward as the control object of the semi-active suspension system that is based on adaptive neural network control method.In the foundation of analysis on the damping force’s changes of electro-hydraulic proportional valve damper,a model of semi-active suspension is propsed based on electro-hydraulic proportional valve damper and the adaptive neural network control method for the model has been studied.B road spectrum simulated by integral of white noise is selected as the road input.Selecting the vertical acceleration of sprung mass,the anamorphosis level of suspension and dynamic loading of tire as the evaluating indicators.The simulation is done by Matlab/Simulink toolbox.The results show that the running smoothness and the driving stability of the semi-active suspension have been greatly improved,compared with the passive suspension.更多还原