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Authors: Haitao Zhang 1 ; Hong Gao 2 ; Xinlin Hun 1 and Aiguo Wang 1

Affiliations: 1 Department of Automobile Engineering, Anhui Technical College of Mechanical and Electrical, China ; 2 School of Mechanics and Automobile Engineering, Anhui Polytechnic University, China

ISBN: 978-989-758-312-4

Keyword(s): Parameter matching of suspension, Artificial wasp colony algorithm, Chaos factor, Optimization method of chaos-wasp colony algorithm

Abstract: Aimed at parameters matching of automobile suspension system, this paper was presented an approach to optimize suspension system parameters based on developed chaos-wasp colony algorithm . Firstly, chaos factors were initialized through cube map; Balance of local and global searching of artificial wasp colony algorithm was realized on the basis of inertia weight of exponential decline; Early maturing was judged by fitness variance values. Secondly, dynamic models of quarter suspension were established and Matlab/Simulink software was employed to conduct the simulation experiments by taking integral white noise as road surface input. Results of simulation experiments indicated that developed chaos-wasp colony algorithm was better than tradition algorithms and normal artificial wasp colony algorithm.

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Paper citation in several formats:
Zhang, H.; Gao, H.; Hun, X. and Wang, A. (2018). Application Research on Developed Chaos-Wasp Colony Algorithm Used in Suspension-Parameter Optimization .In 3rd International Conference on Electromechanical Control Technology and Transportation - Volume 1: ICECTT, ISBN 978-989-758-312-4, pages 150-155. DOI: 10.5220/0006966701500155

@conference{icectt18,
author={Haitao Zhang. and Hong Gao. and Xinlin Hun. and Aiguo Wang.},
title={Application Research on Developed Chaos-Wasp Colony Algorithm Used in Suspension-Parameter Optimization },
booktitle={3rd International Conference on Electromechanical Control Technology and Transportation - Volume 1: ICECTT,},
year={2018},
pages={150-155},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006966701500155},
isbn={978-989-758-312-4},
}

TY - CONF

JO - 3rd International Conference on Electromechanical Control Technology and Transportation - Volume 1: ICECTT,
TI - Application Research on Developed Chaos-Wasp Colony Algorithm Used in Suspension-Parameter Optimization
SN - 978-989-758-312-4
AU - Zhang, H.
AU - Gao, H.
AU - Hun, X.
AU - Wang, A.
PY - 2018
SP - 150
EP - 155
DO - 10.5220/0006966701500155

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