跳到主要导航 跳到搜索 跳到主要内容

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

  • Yang Chen
  • , Yichen Lyu
  • , Jiaqing Xiao
  • , Lu Yang*
  • *此作品的通讯作者
  • Beijing Institute of Technology

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

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.

源语言英语
主期刊名The Proceedings of 2025 International Conference on Artificial Intelligence and Autonomous Transportation - Volume 4
编辑Jun Liu, Honghai Ji, Kailong Li, Shida Liu, Zhihui Hu
出版商Springer Science and Business Media Deutschland GmbH
106-114
页数9
ISBN(印刷版)9789819593453
DOI
出版状态已出版 - 2026
已对外发布
活动International Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2025 - Beijing, 中国
期限: 12 12月 202514 12月 2025

丛书

姓名Lecture Notes in Electrical Engineering
1592 LNEE
ISSN(印刷版)1876-1100
ISSN(电子版)1876-1119

会议

会议International Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2025
国家/地区中国
Beijing
时期12/12/2514/12/25

学术指纹

探究 'Lateral Stability Control for Heavy-Duty Vehicles Under Extreme Operation Conditions' 的科研主题。它们共同构成独一无二的学术指纹。

引用此