COMPARATIVE STUDY OF SUSPENSION OPTIMIZATION CRITERION FUNCTIONS

被引：0
|
作者：
Tabacu, Ciprian [1 ]
Campan, Dan Lucian [1 ]
Eremia, Cristian [1 ]
Tertisco, Mihai [2 ]
机构：
[1] Univ Politehn Bucuresti, Bucharest, Romania
[2] Univ Politehn Bucuresti, Dept Automat & Syst Engn, Bucharest, Romania
来源：
UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN SERIES C-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE | 2014年 / 76卷 / 01期
关键词：
vehicle suspension; simulation; optimization; road simulation; Matlab; Simulink; random road- suspension system; Monte-Carlo algorithm;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents a new optimization criterion for the suspension's behavior of vehicles under a profile of random rough road. A Monte-Carlo method is proposed for searching minimum criterion function. The proposed criterion function is defined by the ratio between the change of random output signal and the change of random road profile. The results obtained through simulation for the proposed criterion were compared with the results obtained for the criterion used by many researchers. This criterion depends only on the suspension's random acceleration without taking into account the characteristics of the road. Simulations have demonstrated a high efficiency of the new proposed criterion in assessing the comfort of optimized suspension.
引用
收藏
页码：227 / 236
页数：10
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