Uncertainty Analysis of Vehicle Suspension Systems Based on Polynomial Chaos Methods

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 simu...

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Bibliographic Details
Published in2013 Fourth International Conference on Intelligent Systems Design and Engineering Applications pp. 732 - 735
Main Authors Ling Feng, Ma Ze-Yu, Tang Zheng-Fei, Chen Yong-Fu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2013
Subjects
Chaos
electromagnetic
field-circuit coupling
flux density
loss
Polynomials
Stochastic processes
Suspensions
traction transformer
Uncertainty
Vehicle dynamics
Vehicles
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DOI10.1109/ISDEA.2013.575

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Summary: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.
DOI:10.1109/ISDEA.2013.575