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 ›› 2022, Vol. 47 ›› Issue (1): 36-39.DOI: 10.16638/j.cnki.1671-7988.2022.001.009

• 智能网联汽车 • 上一篇    

智能车轨迹跟踪控制方法研究

田圣哲,贺艺斌,窦胜月   

  1. 长安大学汽车学院
  • 出版日期:2022-01-15 发布日期:2022-01-15
  • 通讯作者: 田圣哲
  • 作者简介:田圣哲,硕士研究生,就读于长安大学汽车学院,研 究方向:自动驾驶轨迹规划及控制。

Research on Tracking Control Method of Intelligent Vehicle

TIAN Shengzhe, HE Yibin, DOU Shengyue   

  1. College of Automobile, Chang’an University
  • Online:2022-01-15 Published:2022-01-15
  • Contact: TIAN Shengzhe

摘要: 随着信息化的发展,智能驾驶技术应用前景广阔。轨迹跟踪控制作为智能驾驶技术中的一 环,受到越来越多的关注。文章介绍了智能汽车的运动学以及动力学模型,详细阐述了目前常用 的几种跟踪控制方法的理论推导,分析了其各自的适用场景及优缺点。从而可知,无论哪一种控 制方法都有其弊端,建模方法以及行驶速度的不同,都会影响控制效果。因此,需要结合实际情 况进行改进,使智能汽车的控制更有适用性。

关键词: 智能驾驶;跟踪控制;纯跟踪;模型预测

Abstract: With the development of informatization, the application prospect of intelligent driving technology is broad. As a part of intelligent driving technology, trajectory tracking control has received more and more attention. This article introduces the kinematics and dynamics models of smart cars, elaborates the theoretical derivation of several commonly used tracking control methods, and analyzes their respective applicable scenarios and advantages and disadvantages. It can be seen that no matter which control method has its drawbacks, the difference in modeling method and driving speed will affect the control effect. Therefore, it is necessary to make improvements in combination with the actual situation to make the control of smart cars more applicable.

Key words: Intelligent driving; Tracking control; Pure pursuit; Model prediction