Longitudinal speed control algorithm to improve the vehicle stability and mobility on a sharp curve

Hong Bin Ren, Si Zhong Chen, Yu Zhuang Zhao*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

A new longitudinal speed control strategy is proposed. It used the lateral jerk information as the feedback to predict the longitudinal acceleration and deceleration, which is especially beneficial to a sharp curve turning at a high driving speed. The performance of the controller is validated with Matlab/Simulink. The simulation results indicate that compared with the traditional vehicle, the G-vector controller can reduce the turning radius and improve the vehicle stability and agility obviously. And the proposed longitudinal speed control strategy could trade-off the longitudinal and lateral acceleration by using the tire force during the turning.

Original languageEnglish
Pages (from-to)441-447
Number of pages7
JournalJournal of Beijing Institute of Technology (English Edition)
Volume25
Issue number4
DOIs
Publication statusPublished - 1 Dec 2016

Keywords

  • Active safety
  • Dynamic control
  • G-vector control
  • Vehicle model

Fingerprint

Dive into the research topics of 'Longitudinal speed control algorithm to improve the vehicle stability and mobility on a sharp curve'. Together they form a unique fingerprint.

Cite this