Rollover Prevention for a Heavy Vehicle Using Optimised Slide Mode Steering Control

For a heavy vehicle, active steering can effectively prevent rollover, however, it also changes the operation of the vehicle away from the driver's intentions. To improve rollover stability and reduce tracking error, an optimized slide mode steering control strategy is proposed. Four degrees of freedom linear model is used, which includes lateral, yaw, and roll motions of the sprung mass and unsprung mass. This model is also validated to describe heavy vehicle rollover dynamics. From the model, slide mode control based roll angle and lateral displacement strategies are developed, respectively, and the optimized slide mode steering control strategy is presented to track the set routes and prevent vehicle rollover. Furthermore, some typical numerical cases are simulated to demonstrate the effectiveness of the control strategies. The results show that the optimized strategy can effectively prevent vehicle rollover and significantly improve the performance of tracking the driver's intention for a heavy vehicle.

• Record URL:
  • https://doi.org/10.1504/IJHVS.2019.101463
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/1744232X
• Supplemental Notes:
  • Copyright © 2018 Inderscience Enterprises Ltd.
• Authors:
  • Jin, Zhilin
  • Wang, Chao
  • Zhang, Lei
  • Zhao, Wanzhong
  • Khajepour, Amir
• Publication Date: 2019

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 351-374
• Serial:
  • International Journal of Heavy Vehicle Systems
  • Volume: 26
  • Issue Number: 3-4
  • Publisher: Inderscience Enterprises Limited
  • ISSN: 1744-232X
  • EISSN: 1741-5152
  • Serial URL: http://www.inderscience.com/jhome.php?jcode=IJHVS

Subject/Index Terms

• TRT Terms: Automatic steering control; Crash avoidance systems; Driving simulators; Heavy vehicles; Motion; Optimization; Rollover crashes; Simulation
• Subject Areas: Design; Motor Carriers; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01717052
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 18 2019 9:17AM