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Lateral Stability Control for Heavy-Duty Vehicles Under Extreme Operation Conditions

  • Yang Chen
  • , Yichen Lyu
  • , Jiaqing Xiao
  • , Lu Yang*
  • *Corresponding author for this work
  • Beijing Institute of Technology

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

Abstract

This paper proposes a lateral stability control strategy for heavy-duty vehicles after a tire blowout with explicit consideration of vertical load redistribution, subject to multiple constraints, uncertainty and redundant actuation. Firstly, a parameterized wheel vertical load calculator is formulated to capture the dynamic characteristics, and the entire vehicle dynamic analysis is performed. Secondly, to attenuate the deviation from the reference path, a lane keeping controller is designed to enhance vehicle stability performance and original lane keeping capacity. After that, a reconfigurable constrained weighting least squares-based torque distributor is employed to accomplish the tracking of the virtual resultant yaw moment and longitudinal tire force. Simulations under different tire blowout conditions are conducted on the developed dynamic co-simulation platform to demonstrate the effectiveness of the designed control methods; furthermore, the influence of different tire blowout conditions on the vehicle movement behaviors is discussed. Statistical results based on the system lane keeping performance and control effort metrics highlight the superiority of the developed control strategy and approaches.

Original languageEnglish
Title of host publicationThe Proceedings of 2025 International Conference on Artificial Intelligence and Autonomous Transportation - Volume 4
EditorsJun Liu, Honghai Ji, Kailong Li, Shida Liu, Zhihui Hu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages106-114
Number of pages9
ISBN (Print)9789819593453
DOIs
Publication statusPublished - 2026
Externally publishedYes
EventInternational Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2025 - Beijing, China
Duration: 12 Dec 202514 Dec 2025

Publication series

NameLecture Notes in Electrical Engineering
Volume1592 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2025
Country/TerritoryChina
CityBeijing
Period12/12/2514/12/25

Keywords

  • Heavy-duty vehicle
  • Lateral stability control
  • Tire blowout
  • Vertical load redistribution

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