文档介绍：湖南大学
硕士学位论文
基于ADAMS和人工智能算法的汽车悬架系统优化设计和分析
姓名:胡军
申请学位级别:硕士
专业:车辆工程
指导教师:宋晓琳
20070423
硕士学位论文
摘要
本文为了改善汽车悬架系统运动学特性和提高汽车的行驶平顺性,将
ADAMS 软件与人工智能优化算法相结合,对某型号越野车的悬架系统进行仿真
分析和优化设计。
在 ADAMS/View 中建立了前悬架 1/2 虚拟样机模型,对样机模型做了运动学
分析。为了改善前悬架运动学特性,在悬架运动学分析的基础上,应用遗传算法
和免疫算法对前悬架定位参数进行了优化设计,获得较好的优化效果。
在 ADAMS/View 中建立了整车动力学模型,对整车行驶平顺性进行了仿真分
析计算。为了改善整车振动性能,降低振动能量,提高汽车的行驶平顺性,选择
车身质心处垂直于地面方向的加速度均方根值为优化目标,应用免疫算法优化前、
后悬架的弹簧刚度和减振器阻尼,实现了改善汽车行驶平顺性的目的。
本文的创新点主要有:
1. 利用 ADAMS 软件提供的优化算法的用户接口,将遗传和免疫优化算法代
码做成动态链接库,成功地添加到 ADAMS/View 中,实现了人工智能优化算法与
ADAMS 软件的对接。
2. 在悬架优化设计时,寻找到了一条新的悬架优化设计道路——将人工智能
优化算法(遗传算法和免疫算法)与 ADAMS 软件相结合对悬架系统进行优化设
计。
本文在 ADAMS 软件中对汽车前悬架系统运动学特性和整车行驶平顺性进行
仿真分析,获得较好的仿真效果;将 ADAMS 软件与人工智能优化算法相结合,
对复杂悬架系统参数进行优化设计,实现了优化目标,对实践有较好的指导意义。

关键词: ADAMS;人工智能算法;悬架系统;仿真;优化设计
I
基于 ADAMS 和人工智能算法的汽车悬架系统优化设计和分析
Abstract
In order to impove the kinematic performances of vehicle suspension system and
the fort performances of whole vehicle, a type of SUV‘s suspension system is
studied. The simulation for the suspension system performance is studied with
ADAMS software in the thesis. And the optimization for the suspension system is also
investigated with ADAMS software and artificial intelligence algorithms.
The 1/2 of front suspension system is established with ADAMS software. And the
simulation for the kinematic performances of suspension system is studied. In order to
impove the kinematic performances of vehicle suspension system, the front
suspension system is optimized with ic algorithm and immune algorithm based
on the analysis of front suspension system, and good results are obtained.
The multi-body dynamics whole vehicle is also established. And the simulation
for the fort performances is studied. In order to impove the fort
performances, and to reduce energy of the vertical libration of the whole vehicle, the
RMS of acceleration of the vertical libration of the body of the whole vehicle is
optimized based on imm