首页> 外文会议>International Conference on Vibration Problems >Optimization Of Passive Vehicle Suspension System By Genetic Algorithm
【24h】

Optimization Of Passive Vehicle Suspension System By Genetic Algorithm

机译:遗传算法无源车辆悬架系统的优化

获取原文

摘要

The design of suspension system has been one of the challenging tasks for engineers. The main function of any suspension system is to reduce or eliminate the road excitations transmitted to vehicle body. An effort has been made in this paper for a passive suspension system by using an optimization technique called Genetic algorithm to absorb vibrations as per ISO 2631-1: 1997 standards. The spring stiffness (ks), damping coefficient (cs), sprung mass (ms), unsprung mass (mu), tyre stiffness (kt) are optimized in such a way that ride comfort is increased. The quarter car and driver seat with the driver's body are simply modeled together as four degree of freedom (DOF) system by using SIMULINK for analyzing the ride comfort.
机译:悬架系统的设计是工程师的具有挑战性的任务之一。 任何悬架系统的主要功能是减少或消除传输到车身的道路激发。 本文通过使用称为遗传算法的优化技术来吸收诸如ISO 2631-1:1997标准的振动的无源悬架系统,为被动悬架系统进行了努力。 弹簧刚度(Ks),阻尼系数(CS),簧氏质量(MS),术术术(MU),轮胎刚度(KT)以乘坐舒适性增加而优化。 使用Simulink分析乘坐舒适度,将驾驶员身体的四分之一汽车和驾驶员座椅用驾驶员的座椅塑造成四个自由(DOF)系统。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号