Title :
Uncertainty Analysis of Vehicle Suspension Systems Based on Polynomial Chaos Methods
Author :
Ling Feng ; Ma Ze-Yu ; Tang Zheng-Fei ; Chen Yong-Fu
Author_Institution :
Center for Comput.-Aided Design, Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
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.
Keywords :
Monte Carlo methods; automotive components; chaos; polynomials; uncertainty handling; vehicle dynamics; Monte Carlo simulation method; four DOF mathematical model; four degree-of-freedom mathematical model; multibody dynamic system; parametrical uncertainty analysis; polynomial chaos methods; vehicle suspension systems; Chaos; Polynomials; Stochastic processes; Suspensions; Uncertainty; Vehicle dynamics; Vehicles; electromagnetic; field-circuit coupling; flux density; loss; traction transformer;
Conference_Titel :
Intelligent Systems Design and Engineering Applications, 2013 Fourth International Conference on
Conference_Location :
Zhangjiajie
Print_ISBN :
978-1-4799-2791-3
DOI :
10.1109/ISDEA.2013.575
