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Authors: Yongdong Xie 1 and Jie Meng 2

Affiliations: 1 Suzhou Institute of Construction & Communications, Jiangsu Union Technical Institute, China ; 2 School of automotive Engineering, Changshu Institute of Technology, China

Keyword(s): Suspension, PSO algorithm, PID controller, Automotive control, performance

Abstract: To solve the problems of the PID controller when it is used for the vehicle suspension, a method using the PSO algorithm is designed. This method utilizes the global searching strategy of the PSO algorithm to design and optimize the parameters of the target function for the suspension performance indexes matrix. And then a simulation experiment is provided. The simulation results show that the performances of the actively controlled vehicle suspension using the PID controller optimized by the PSO algorithm can be greatly improved compared to the suspension controlled by the normal PID controller and the passive one. It means that the problems of defining the weight matrices are well solved and the advantage of the normal PID controller is utilized sufficiently.

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Paper citation in several formats:
Xie, Y. and Meng, J. (2018). PID Control for the Vehicle Suspension Optimized by the PSO Algorithm . In 3rd International Conference on Electromechanical Control Technology and Transportation - ICECTT; ISBN 978-989-758-312-4, SciTePress, pages 172-177. DOI: 10.5220/0006967101720177

@conference{icectt18,
author={Yongdong Xie. and Jie Meng.},
title={PID Control for the Vehicle Suspension Optimized by the PSO Algorithm },
booktitle={3rd International Conference on Electromechanical Control Technology and Transportation - ICECTT},
year={2018},
pages={172-177},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006967101720177},
isbn={978-989-758-312-4},
}

TY - CONF

JO - 3rd International Conference on Electromechanical Control Technology and Transportation - ICECTT
TI - PID Control for the Vehicle Suspension Optimized by the PSO Algorithm
SN - 978-989-758-312-4
AU - Xie, Y.
AU - Meng, J.
PY - 2018
SP - 172
EP - 177
DO - 10.5220/0006967101720177
PB - SciTePress

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