Fuzzy PID Control of Single Chamber Semi active Hydro-pneumatic Suspension Based on GA Optimization

Xingchen Zhu*, Jifu Guan, Zhendong Liu, Yilin Li, Rubai Yang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Semi active hydro-pneumatic suspension can improve the road support and ride comfort of the suspension system while considering manufacturing costs. Single chamber hydro-pneumatic suspension can achieve the purpose of adjusting damping force by adjusting the volume of hydro-pneumatic, and can reliably control semi-active suspension systems in practical engineering. This article first establishes a nonlinear mathematical model of a single chamber hydro-pneumatic suspension, and uses the designed fuzzy PID control to control the single chamber hydro-pneumatic suspension system. It was found that due to the dependence on expert experience in fuzzy PID control, the control effect is not significant. To improve the control effect, genetic algorithm is used to optimize the fuzzy PID correction coefficient and quantization factor, and control the single chamber hydro-pneumatic suspension. The dynamic simulation software Matlab/Simulink is applied for simulation. The simulation results show that when the simulated vehicle is driving on a D-level road at a speed of 12.5 m/s, the semi-active hydro-pneumatic suspension under fuzzy PID control after genetic optimization is superior to traditional passive hydro-pneumatic suspension in attenuating vehicle vibration and improving vehicle smoothness.

Original languageEnglish
Title of host publicationProceedings of the 43rd Chinese Control Conference, CCC 2024
EditorsJing Na, Jian Sun
PublisherIEEE Computer Society
Pages792-797
Number of pages6
ISBN (Electronic)9789887581581
DOIs
Publication statusPublished - 2024
Event43rd Chinese Control Conference, CCC 2024 - Kunming, China
Duration: 28 Jul 202431 Jul 2024

Publication series

NameChinese Control Conference, CCC
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference43rd Chinese Control Conference, CCC 2024
Country/TerritoryChina
CityKunming
Period28/07/2431/07/24

Keywords

  • Fuzzy PID control
  • genetic algorithm
  • semi-active suspension
  • Single chamber hydro-pneumatic suspension

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