基于遗传算法的汽车悬架仿真与优化设计  

Simulation and Optimization Design for Vehicle Suspension Based on Genetic Algorithm

作　　者：龚侃[1,2] 何天明[1,2] 陈超[1,2] 

机构地区：[1]武汉理工大学汽车工程学院,湖北武汉430070 [2]现代汽车零部件技术湖北省重点实验室,湖北武汉430070

出　　处：《武汉理工大学学报（信息与管理工程版）》2012年第3期313-316,共4页Journal of Wuhan University of Technology：Information & Management Engineering

基　　金：武汉理工大学自主创新研究基金资助项目(2010-ZY-QC-018)

摘　　要：遗传算法是一种借鉴生物界自然选择和进化机制发展起来的随机搜索算法。基于ADAMS/Car的环境建立了某车前悬架系统的仿真模型,对系统进行了车轮平行跳动试验动态仿真分析,并用遗传算法对该悬架系统进行了优化。研究结果为汽车悬架的设计提供了技术依据。Genetic algorithm is a random search algorithm using natural selection and evolutionism in biology for reference. Based on ADAMS/Car, simulation model of the vehicle suspension system were established. Simulation analysis of parallel wheel travel test on the system was also conducted. Suspension system was optimized with genetic algorithm. The study provided the tech- nical basis for automotive suspension design.

关 键 词：ADAMS/CAR 遗传算法 汽车悬架 车轮跳动 优化设计 

分 类 号：U463.33[机械工程—车辆工程]