基于改进响应面模型的悬架K&C特性优化

Optimization of suspension K&C characteristics based on improved response surface model

悬架运动学和弹性运动学特性是影响操纵稳定性的重要因素。为提高操纵稳定性,基于ADAMS/Car建立某车型前麦弗逊悬架模型,并进行K&C特性仿真分析。在ADAMS/Insight中计算硬点坐标对K&C特性的灵敏度。利用切比雪夫多项式零点插值技术改进响应面模型,并采用该模型描述悬架K&C特性变动范围与硬点坐标之间的关系,针对该模型采用双层嵌套的改进非支配排序遗传算法和粒子群算法进行多目标优化,结果表明,优化后的悬架K&C特性的变动范围均有不同程度的减小,汽车操纵稳定性得到了提高。

The kinematic and compliance characteristics of suspension(K&C characteristics)have great impact on the handling stability.To improve the handling stability,Macpherson suspension model was conducted by using ADAMS/Car,and the simulation analysis of K&C characteristics was carried out.The sensitivity of K&C characteristics with respect to hard point coordinate was finished with ADAMS/Insight.Zeros of Chebyshev polynomials interpolation method was used to improve the traditional response surface,and was applied to analyze approximation suspension K&C characteristics response.Double nested loop,containing NSGA-Ⅱin outer loop and particle swarm optimization algorithm in inner loop,was apply for multi-objective optimization.The results show that the variation range of the suspension K&C characteristics has been optimized in a certain degree,and the vehicle handling stability is improved.