Modeling and Intelligent Control of Vehicle Active Suspension System

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Authors

  • Jianmin Sun
  • Quingmei Yang

Research Organisations

View graph of relations

Details

Original languageEnglish
Title of host publicationProceedings of the IEEE Conference on Robotics, Automation and Mechatronics 2008
Pages239-242
Number of pages4
Publication statusPublished - 2008

Abstract

Due to the inherent nonlinear nature of vehicle fluid damper, an intelligent control algorithm which fuzzy control rule table can be obtained with the numerical calculation is advanced. The algorithm can adjust the rectification factor of fuzzy controller by adaptive filter method. Suspension dynamics are modeled using a two degree-of-freedom, linear and time-invariant vehicle model. The acceleration of the sprung mass is included in the premise part of the fuzzy rules to reduce the vertical acceleration of the sprung mass. For riding comfort and handling safety of vehicle, the simulation of vehicle performance in road signal is studied. Its results show the intelligent controller can effectively control the vibration of vehicle system and reduce the acceleration of the sprung mass.

Cite this

Modeling and Intelligent Control of Vehicle Active Suspension System. / Sun, Jianmin; Yang, Quingmei.
Proceedings of the IEEE Conference on Robotics, Automation and Mechatronics 2008. 2008. p. 239-242.

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Sun, J & Yang, Q 2008, Modeling and Intelligent Control of Vehicle Active Suspension System. in Proceedings of the IEEE Conference on Robotics, Automation and Mechatronics 2008. pp. 239-242. https://doi.org/10.1109/RAMECH.2008.4681376
Sun, J., & Yang, Q. (2008). Modeling and Intelligent Control of Vehicle Active Suspension System. In Proceedings of the IEEE Conference on Robotics, Automation and Mechatronics 2008 (pp. 239-242) https://doi.org/10.1109/RAMECH.2008.4681376
Sun J, Yang Q. Modeling and Intelligent Control of Vehicle Active Suspension System. In Proceedings of the IEEE Conference on Robotics, Automation and Mechatronics 2008. 2008. p. 239-242 doi: 10.1109/RAMECH.2008.4681376
Sun, Jianmin ; Yang, Quingmei. / Modeling and Intelligent Control of Vehicle Active Suspension System. Proceedings of the IEEE Conference on Robotics, Automation and Mechatronics 2008. 2008. pp. 239-242
Download
@inproceedings{ee99ebd266464c11ab42eed19e39a241,
title = "Modeling and Intelligent Control of Vehicle Active Suspension System",
abstract = "Due to the inherent nonlinear nature of vehicle fluid damper, an intelligent control algorithm which fuzzy control rule table can be obtained with the numerical calculation is advanced. The algorithm can adjust the rectification factor of fuzzy controller by adaptive filter method. Suspension dynamics are modeled using a two degree-of-freedom, linear and time-invariant vehicle model. The acceleration of the sprung mass is included in the premise part of the fuzzy rules to reduce the vertical acceleration of the sprung mass. For riding comfort and handling safety of vehicle, the simulation of vehicle performance in road signal is studied. Its results show the intelligent controller can effectively control the vibration of vehicle system and reduce the acceleration of the sprung mass. ",
author = "Jianmin Sun and Quingmei Yang",
year = "2008",
doi = "10.1109/RAMECH.2008.4681376",
language = "English",
pages = "239--242",
booktitle = "Proceedings of the IEEE Conference on Robotics, Automation and Mechatronics 2008",

}

Download

TY - GEN

T1 - Modeling and Intelligent Control of Vehicle Active Suspension System

AU - Sun, Jianmin

AU - Yang, Quingmei

PY - 2008

Y1 - 2008

N2 - Due to the inherent nonlinear nature of vehicle fluid damper, an intelligent control algorithm which fuzzy control rule table can be obtained with the numerical calculation is advanced. The algorithm can adjust the rectification factor of fuzzy controller by adaptive filter method. Suspension dynamics are modeled using a two degree-of-freedom, linear and time-invariant vehicle model. The acceleration of the sprung mass is included in the premise part of the fuzzy rules to reduce the vertical acceleration of the sprung mass. For riding comfort and handling safety of vehicle, the simulation of vehicle performance in road signal is studied. Its results show the intelligent controller can effectively control the vibration of vehicle system and reduce the acceleration of the sprung mass.

AB - Due to the inherent nonlinear nature of vehicle fluid damper, an intelligent control algorithm which fuzzy control rule table can be obtained with the numerical calculation is advanced. The algorithm can adjust the rectification factor of fuzzy controller by adaptive filter method. Suspension dynamics are modeled using a two degree-of-freedom, linear and time-invariant vehicle model. The acceleration of the sprung mass is included in the premise part of the fuzzy rules to reduce the vertical acceleration of the sprung mass. For riding comfort and handling safety of vehicle, the simulation of vehicle performance in road signal is studied. Its results show the intelligent controller can effectively control the vibration of vehicle system and reduce the acceleration of the sprung mass.

U2 - 10.1109/RAMECH.2008.4681376

DO - 10.1109/RAMECH.2008.4681376

M3 - Conference contribution

SP - 239

EP - 242

BT - Proceedings of the IEEE Conference on Robotics, Automation and Mechatronics 2008

ER -