Road friendliness optimization of heavy vehicle suspension based on particle swarm algorithm

DOI

10.2991/iccmcee-15.2015.249How to use a DOI?

Keywords

particle swarm optimization, heavy vehicle suspension, optimization design, time domain analysis, frequency domain analysis.

Abstract

In this paper, an optimization design method based on the Particle Swarm Optimization (PSO) technique is proposed for the enhancement of the passive suspension system performance of heavy vehicles. The optimization problem based on a quarter-vehicle model aims to minimize the dynamic tyre load subject to constraints on the natural frequency of the unsprung mass. PSO is applied to solve the optimization problem for obtaining optimum parameters, such as the suspension damping coefficient, spring and tyre stiffness. In order to assess the obtained design parameters, the suspension performance is estimated in time and frequency domains for different road excitations. The results show that the proposed method can obtain the optimum designed parameters quickly compared with the previous designed parameters using the genetic algorithm for the same passive suspension system, which will provide important parameters for the subsequent revised design. This paper provides a feasible way for the optimization design of a new type of suspension system.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lufeng Wang
AU  - Zheng Lv
AU  - Qi Li
PY  - 2015/11
DA  - 2015/11
TI  - Road friendliness optimization of heavy vehicle suspension based on particle swarm algorithm
BT  - Proceedings of the 2015 4th International Conference on Computer, Mechatronics, Control and Electronic Engineering
PB  - Atlantis Press
SP  - 1321
EP  - 1326
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccmcee-15.2015.249
DO  - 10.2991/iccmcee-15.2015.249
ID  - Wang2015/11
ER  -