中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2013, Vol. 32 ›› Issue (5): 1068-1070.DOI: 10.3969 /j.issn.1674-0696.2013.05.37

• • 上一篇    下一篇

基于遗传算法的悬架系统的优化和仿真

潘云伟,胡启国,罗天洪,梁伟,张娇   

  1. 重庆交通大学机电与汽车工程学院,重庆400074
  • 收稿日期:2012-10-16 修回日期:2013-04-11 出版日期:2013-10-15 发布日期:2014-10-27
  • 作者简介:潘云伟( 1987—) ,男,湖北黄冈人,硕士研究生,主要从事汽车动力学及可靠性能研究。E-mail: pan601028191@126. com。

Simulation and Optimization of Suspension System Based on Genetic Algorithm

Pan Yunwei,Hu Qiguo,Luo Tianhong,Liang Wei,Zhang Jiao   

  1. School of Mechatronics & Automotive Engineering,Chongqing Jiaotong University,Chongqing 400074,China
  • Received:2012-10-16 Revised:2013-04-11 Online:2013-10-15 Published:2014-10-27

摘要: 通过建立1 /4 汽车两自由度模型,建立了汽车行驶平顺性优化仿真数学模型,根据对车辆行驶平顺性、乘坐舒 适性和操作稳定性的要求,提出了优化的目标函数。在MATLAB 中建立遗传算法的程序模型,应用遗传算法对该 模型进行求解。通过仿真,对优化前后汽车行驶平顺性的3 项指标进行对比分析。仿真结果表明: 遗传算法用于汽 车行驶平顺性的优化取得了良好的效果。

关键词: 汽车行驶平顺性, 遗传算法, 优化仿真

Abstract: Through establishing 1 /4 car model with two degree freedom,the numerical model of car ride comfort simulation optimization was established. According to the requirements of the vehicle riding comfort,seating comfort and operation stability, the optimized objective function was put forward. A genetic algorithm model in Matlab program was established,and then genetic algorithm was used to solve model. Through the simulation,the three indexes of the vehicle riding comfort were analyzed and compared before and after the optimization. The simulation results show that the genetic algorithm achieves good effect in the optimization of car ride comfort.

Key words: automobile ride comfort, genetic algorithm, optimization and simulation

中图分类号: