谷歌浏览器插件
订阅小程序
在清言上使用

A semi-active suspension design for off-road vehicle base on Magneto-rheological technology

Fuzzy Systems and Knowledge Discovery(2012)

引用 6|浏览1
暂无评分
摘要
In this paper, a Magneto-Rheological (MR) fluid semi-active suspension system was tested on a off-road vehicle to determine the performance improvements compared to passive suspensions. In the process of suspension design, ride comfort and handing stability are two conflicting considerations. MR fluid dampers are a new class of devices that more suitable for the requirements of automotive applications, including having very low power requirements. According to different driving conditions and body posture, semi-active suspension based on MR damper can coordinate the body posture angle, and reduce the vibration from suspension pass to vehicle body. This paper deals with theoretical analysis and experiments of MR fluid damper in semi-active suspension system. For the purpose of developing semi-active controller, a detailed vehicle Virtual Prototyping model with steering, frame and semi-active suspensions systems was established by vehicle dynamics simulation software SIMPACK. The co-simulation of ride comfort and handing stability showed that the semi-active suspension designed in this paper was suitable for improving the ride and handing performance simultaneously.
更多
查看译文
关键词
automotive components,ergonomics,magnetorheology,mechanical engineering computing,mechanical stability,off-road vehicles,shock absorbers,steering systems,vehicle dynamics,vibration control,virtual prototyping,MR fluid dampers,SIMPACK software,automotive applications,body posture angle,magnetorheological fluid,magnetorheological technology,off-road vehicles,passive suspensions,ride comfort,ride handing stability,semiactive controller,semiactive suspension design,steering,vehicle body,vehicle dynamics simulation,vehicle virtual prototyping model,vibration reduction,Magneto-rheological,Off-road Vehicle,handing stability,ride comfort,semi-active suspension,
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要