基于ADAMS和ISIGHT的双横臂悬架优化

Optimization of Double Wishbone Suspension Based on ADAMS and ISIGHT

摘要: 以某皮卡双横臂前悬架为研究对象，在ADAMS/Car中建立悬架动力学虚拟样机模型，并对多体动力学模型进行平行轮跳仿真分析，得出外倾角、主销后倾角及前束角车轮定位参数变化范围不合理。之后运用ADAMS/INSIGHT对不符合要求的定位参数进行灵敏度分析，确定对定位参数影响较大的硬点坐标。最后通过ISIGHT平台和第二代多目标遗传优化算法NSGA-II对外倾角、主销后倾角及前束角变化范围进行多目标优化。结果表明优化后的各定位参数均达到了理想的变化范围，改善了悬架的运动学特性，证明了该优化方法的可行性。

Abstract: Taking the front suspension of a pickup truck with double wishboneas the research object, the sus-pension dynamics virtual prototype model was established in ADAMS/Car, and the parallel wheel travel simulation analysis was carried out on the multi-body dynamics model. The results show that the variation range of wheel positioning parameters of camber angle, caster angle and toe angle is unreasonable. Then, ADAMS/INSIGHT is used to analyze the sensitivity of the positioning parame-ters that do not meet the requirements, and obtain the coordinates of hardpoints that have great influence on the positioning parameters. Finally, the ISIGHT platform and the second generation of multi-objective genetic optimization algorithm NSGA-II were used to optimize the variation range of camber angle, caster angle and toe angle. The results show that the optimized positioning parame-ters reach the ideal range of variation, and the kinematic characteristics of suspension are im-proved, which proves the feasibility of the optimization method.