基于田口法动态系统的悬架鲁棒性优化

Robust optimization of suspension based on Taguchi dynamic system

针对汽车悬架逆向开发中底盘布置对悬架运动学特性的不稳定性影响,采取鲁棒性优化.首先,通过层次分析法将前束轮跳、外倾轮跳、后倾轮跳、轴距轮跳以及轮距轮跳特性进行归一化处理,得到悬架运动学统一目标响应;其次,利用Isight软件对悬架硬点进行灵敏度分析确定可控因子与噪声因子;最后,在悬架动力学模型双轮同向激励仿真基础上,选取轮跳量作为信号因子采用田口法动态系统设计获得Pareto解集.根据动态信噪比以及敏感度选择可控因子最佳水平,并通过优化前后结果对比,表明目标性能能够达到理想范围.

In order to solve the instability problem of suspension kinematics, the robust optimization is applied to the vehicle suspension. First, the toe angle, the camber angle, the inclination angle, the wheelbase change and the track change characteristics are normalized to obtain the objective response of the suspension kinematics by the analytic hierarchy process; Secondly, the sensitivity and the factor of the suspension are analyzed by Isight software.Finally, based on the jump simulation of the suspension dynamics model, the selection of the wheel jump amount as the signal factor is used to obtain the Pareto solution set by the Taguchi dynamic system. According to the dynamic signal-to-noise ratio and the sensitivity, we select the best level. And by comparing the results before and after the optimization, it shows that the target performance can reach the desired range.