摘要
以某矿用汽车的实际参数为基础,在ADAMS/Car里建立了其麦弗逊前悬架动力学模型。应用最优拉丁超立方设计方法对悬架硬点位置参数进行了试验设计,根据灵敏度分析结果确定了设计变量。通过编写相关文件将ADAMS/Car、Matlab、Isight和多岛遗传算法集合到了一起,并以此为平台对车轮外倾角和前束角进行了多目标优化。优化结果表明,在左右车轮平行跳动实验中,车轮外倾角和前束角变化范围都得到了有效的缩小,悬架的运动学性能得到了相应程度的提高。
A dynamic simulation model of McPherson front suspension is established by ADAMS/Car based on the actual parameters of a mining truck. Through the optimal latin hypercube design method,sensitivity analysis of hard-points location parameters is completed, the results give the more sensitive variables. Then, the wheel camber angle and toe angle are optimized based on Isight, multi-island genetic algorithm, ADAMS/Car and Matlab. The optimization results show that, the range of camber angle and toe angle is effectively reduced in vertical parallel wheel travel experiment; the suspension kinematics performances are accordingly improved.
出处
《煤矿机械》
北大核心
2014年第10期8-10,共3页
Coal Mine Machinery
基金
河北省科技支撑计划项目(12212111D)
河北省教育厅科研计划项目(ZH2011213)
河北省自然科学基金项目(E2012402061)
