摘要
在试验测试和理论分析的基础上,建立了采用磁流变减振器的半主动悬架的模型。采用积分白噪声模拟B级路面谱作为路面输入;提出了由1个径向基神经网络辨识器和4个神经网络控制器组成的自适应控制系统;以轮胎动载荷和质心垂向加速度作为主要评价指标,利用Matlab/Simulink模块进行仿真。结果表明,设计的半主动悬架系统与被动悬架系统相比,道路友好性得到了良好改善,同时车辆的平顺性也大幅提高。
Based on testing and theoretical analysis,a model for semi-active suspension with MR shock absorber is built.B-class road spectrum simulated with integral white noise is taken as road input.An adaptive control system consisting of a RBF neural network identifier and four neural network controllers is put forward.A simulation is conducted using Matlab/Simulink module with tire dynamic load and the vertical acceleration at the mass center of car body as main evaluation indicators.The results of simulation show that compared with passive suspension system,the road-friendliness of semi-active suspension system designed is much better with the ride comfort of vehicle also enhanced markedly.
出处
《汽车工程》
EI
CSCD
北大核心
2010年第12期1077-1082,共6页
Automotive Engineering
基金
中国博士后基金(20090450290)
山西省青年科技研究基金(2007021023)
自然基金(2008012006-3)
山西省优秀青年学术带头人项目(20081066)资助
