田口方法汽车平顺性分析与稳健优化  

Analysis and Robust Optimization of Vehicle's Ride Comfort based on Taguchi Method

作　　者：胡启国[1] 杨晨光 HU Qiguo;YANG Chenguang(School of Mechanotronics and Vehicle Engineering,Chongqing Jiaotong University,Chongqing 400074,China)

机构地区：[1]重庆交通大学机电与车辆工程学院,重庆400074

出　　处：《噪声与振动控制》2018年第6期12-16,23,共6页Noise and Vibration Control

基　　金：国家自然科学基金资助项目(51375519);重庆市基础科学与前沿技术研究专项重点资助项目(cstc2015jcyjBX0133)

摘　　要：为改善某汽车乘坐舒适性,采用滤波白噪声法建立四轮路面激励模型,根据拉格朗日方程和达朗贝尔原理建立8自由度整车平顺性模型,在MATLAB/Simulink中进行仿真实验。利用田口方法,综合考虑随机干扰因素与可控设计变量对汽车平顺性的影响,设计正交表;通过对实验数据进行信噪比计算和方差分析,得到各随机干扰因素对汽车平顺性的影响规律与各可控设计变量对汽车平顺性的贡献率,优选出最佳参数组合。优化后,座椅垂向加速度均方根值在各工况下均明显减小,汽车的平顺性及其稳健性显著提高;操纵稳定性也有较小幅度的提升,验证了本文提出的平顺性稳健优化方法的可行性。In order to improve the ride comfort of a car, a four-wheel road pavement excitation model is established by using filtering white noise method. According to Lagrange formula and d＇ Alembert principle, am 8-DOF ride comfort model is built and simulated in MATLAB/Simulink. Using Taguchi method and considering the influence of random disturbance factors and controllable design variables on vehicle ride comfort, the orthogonal table is designed. By calculating SNR and analyzing square difference of the experimental data, the influence rule of various random factors on vehicle ride comfort and the contribution rate of controllable design variables to vehicle ride comfort are obtained. And the best parameter combination is selected. After the optimization, the root mean square of seat vertical acceleration is obviously reduced under all working conditions, and the ride comfort and the robustness of the vehicle are remarkably improved. The handling stability is also improved slightly. The feasibility of the robust optimization of the ride comfort is verified.

关 键 词：振动与波 平顺性 田口方法 正交表 信噪比 稳健优化 

分 类 号：U461.4[机械工程—车辆工程]