基于模型预测的侧风稳定性主动前轮转向控制研究
作者:
作者单位:

作者简介:

通讯作者:

基金项目:

伦理声明:



Research on Crosswind Stability Control by Active Front-Wheel Steering Based on Model Predictive Control
Author:
Ethical statement:

Affiliation:

Funding:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
    摘要:

    受侧风影响,高速行驶的车辆易偏离预定行驶轨迹,增加驾驶员“误操作”的风险,存在较大安全隐患,为此,该文开展了车辆侧风稳定性主动控制研究。该研究通过建立附加气动力作用的三自由度整车动力学模型,设计主动前轮转向的车辆侧风稳定性模型预测控制器,并搭建 Simulink-CarSim 联合仿真平台进行验证分析。结果表明,在单向侧风工况和交变侧风工况下,带侧风稳定控制的车辆最大侧向偏移量为 0.01 m,远低于无控制时的偏移量;横摆角速度平台值保持在“0”左右,横摆角速度峰值最高降低了 80%,极大地提高了车辆的侧风稳定性。

    Abstract:

    Affected by crosswind, vehicles under high speed are liable to deviate from the expected trajectory, which would cause higher risk of misoperation of the driver and considerable safety hazard. For the consideration of the above situation, the investigation of active control of the vehicle crosswind stability was conducted. In this research, a 3 degrees of freedom vehicle dynamic with aerodynamic force simulation model was established, a prediction controller of the vehicle crosswind stability of an active front-wheel steering vehicle was designed, and a Simulink-CarSim co-simulation platform was built for validation analysis. Results reveal that, under the working condition of unidirectional and multi-directional, the vehicle with crosswind stability controller possesses the biggest deviation value of 0.01 m, which is extremely lower than the value obtained from the vehicle without crosswind stability controller while the platform value of yaw velocity is kept around zero, and the peak value of which is reduced by 80%, which means the crosswind stability was remarkably raised.

    参考文献
    相似文献
    引证文献
引用本文

引文格式
肖程欢,廉玉波,廖银生,等.基于模型预测的侧风稳定性主动前轮转向控制研究 [J].集成技术,2023,12(4):54-63

Citing format
XIAO Chenghuan, LIAN Yubo, LIAO Yinsheng, et al. Research on Crosswind Stability Control by Active Front-Wheel Steering Based on Model Predictive Control[J]. Journal of Integration Technology,2023,12(4):54-63

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2023-07-27
  • 出版日期:
Baidu
map