Uncertainty Analysis of Vehicle Suspension systems Based on Polynomial Chaos Methods

被引：5
|
作者：
Ling Feng [1 ]
Ma Ze-yu [1 ]
Tang Zheng-fei [1 ]
Chen Yong-Fu [1 ]
机构：
[1] Huazhong Univ Sci & Technol, Ctr Comp Aided Design, Wuhan 430074, Hubei, Peoples R China
来源：
2013 FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND ENGINEERING APPLICATIONS | 2013年
关键词：
4DOF half-vehicle model; uncertainty; polynomial chaos; stochastic response surface (SRS) method; MODELING MULTIBODY SYSTEMS;
D O I：
10.1109/ISDEA.2013.575
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a parametrical uncertainty analysis of vehicle suspension system was presented. Four degree-of-freedom(DOF) mathematical model of vehicle passive suspension has been set up and uncertainty of the model has been studied using polynomial chaos methods. By comparing with Monte Carlo simulation method, the results show that polynomial chaos methods are more efficient than Monte Carlo method and are a relatively powerful approach for the simulation of multibody dynamic system with uncertainties.
引用
收藏
页码：732 / 735
页数：4
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