A1 Journal article (refereed), original research

Accurate real-time truck simulation via semirecursive formulation and Adams-Bashforth-Moulton algorithm


Publication Details
Authors: Pan Yongjun, He Yansong, Mikkola Aki
Publisher: Springer (part of Springer Nature): Springer Open Choice Hybrid Journals
Publication year: 2019
Language: English
Related Journal or Series Information: Acta Mechanica Sinica
ISSN: 0567-7718
eISSN: 1614-3116
JUFO-Level of this publication: 1
Open Access: Not an Open Access publication

Abstract

In this paper, a tailored four-step Adams–Bashforth–Moulton (ABM)
algorithm is applied to a semirecursive formulation to perform a
real-time simulation of a semitrailer truck. In the ABM algorithm, each
integration step involves two function evaluations, namely predictor and
corrector. This is fundamentally different when compared to the classic
fourth-order Runge–Kutta (RK) integrator approach that contains four
function evaluations. A semitrailer truck under investigation is modeled
in term of a semirecursive method and simulated by using the presented
ABM algorithm. The results show that the four-step ABM method can reduce
CPU time almost 50% for solving the truck dynamics with very similar
accuracy, in comparison to the fourth-order RK method. The presented ABM
algorithm could be used in the semirecursive formulation to carry out
accurate real-time simulation of medium-large vehicle systems.


Last updated on 2020-20-03 at 10:03

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