主办:陕西省汽车工程学会
ISSN 1671-7988  CN 61-1394/TH
创刊:1976年

汽车实用技术 ›› 2023, Vol. 48 ›› Issue (21): 25-29.DOI: 10.16638/j.cnki.1671-7988.2023.021.006

• 设计研究 • 上一篇    

低附着路面下的车辆横向控制研究

孙岐峰 1,段 敏 1,张博涵 2   

  1. 1.辽宁理工职业大学 汽车学院; 2.辽宁工业大学 汽车与交通工程学院
  • 出版日期:2023-11-15 发布日期:2023-11-15
  • 通讯作者: 孙岐峰
  • 作者简介:孙岐峰(1994-),男,实验师,研究方向为新能源汽车,E-mail:sqf54005@163.com。
  • 基金资助:
    2022 年辽宁省教育厅基本科研项目(面上项目)(LJKMZ20220976)。

Research on Vehicle Lateral Control under Low Adhesion Road Surface

SUN Qifeng1 , DUAN Min1 , ZHANG Bohan2   

  1. 1.School of Automotive Engineering, Liaoning Vocational University of Technology; 2.School of Automotive and Traffic Engineering, Liaoning University of Technology
  • Online:2023-11-15 Published:2023-11-15
  • Contact: SUN Qifeng

摘要: 现有的横向控制技术可以保证车辆在简单环境内行驶,但在低附着系数路面环境下的 行驶存在路径跟踪效果差、车辆稳定性低等现象。为解决此类问题,文章将对智能车辆横向 控制展开研究。文章设计的了一种上层采用变增益模糊滑膜控制、下层采用模糊比例微分积 分(PID)控制的双层横向控制算法,在增强操纵稳定性的基础上,提升智能车辆在低附着路 面下的控制效果。采用 MATLAB/Simulink 与 CarSim 的联合仿真形式,选择双移线工况和定 曲率工况来验证其性能。仿真结果表明,文章设计的车辆横向控制器控制的车辆路径跟踪精 度高,行驶稳定性良好。

关键词: 智能车辆;路径跟踪;横向控制;模糊滑膜控制;模糊 PID 控制

Abstract: The existing lateral control technology can ensure the vehicle running in a simple environment, but the path tracking effect is poor and the vehicle stability is low in the road environment with low adhesion coefficient. In order to solve this problem, the horizontal control of intelligent vehicle will be studied in this paper. In this paper, a two-layer lateral control algorithm using fuzzy synovial film control on the upper layer and fuzzy proportion integration differentiation (PID) control on the lower layer is designed. On the basis of enhancing the handling stability, the control effect of intelligent vehicle under low adhesion road surface is improved. The co-simulation form of MATLAB/Simulink and CarSim is used to verify its performance by selecting double line shifting condition and constant curvature condition. The simulation results show that the vehicle lateral controller designed in this paper has high path tracking accuracy and good driving stability.

Key words: Intelligent vehicle; Path tracking; Lateral control; Fuzzy synovial control; Fuzzy PID control