Optimization of Vehicle Ride Comfort and Controllability Using Grey Relational Analysis

被引：0
|
作者：
Chen Shuming
Wang Dengfeng [1 ]
机构：
[1] Jilin Univ, State Key Lab Automot Dynam Simulat, Changchun 130022, Peoples R China
来源：
JOURNAL OF GREY SYSTEM | 2011年 / 23卷 / 04期
关键词：
Vehicle; Ride comfort; Controllability; Grey Relational Analysis (GRA); Optimization; Design Of experiment (DOE); PARAMETERS; SYSTEM;
D O I：
暂无
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
This research presents an effective method for the optimization Of the vehicle ride comfort and controllability with multiple performance 'characteristics of spring stiffness and shock absorber damping of the front suspension, spring stiffness and shock absorber damping of the rear suspension based on grey relational analysis. The problem of multiple performance indices is simplified into single performance index by using grey relational grade. Meanwhile, the optimal combination of suspension parameters is confirmed, and the optimization results are also validated. The analysis results demonstrate that it is an effective way to deal with optimization problems by using grey relational analysis.
引用
收藏
页码：369 / 380
页数：12
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