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汽车安全与节能学报 ›› 2023, Vol. 14 ›› Issue (6): 723-733.DOI: 10.3969/j.issn.1674-8484.2023.06.009

• 智能驾驶与智慧交通 • 上一篇    下一篇

基于微分同胚变换的智慧交通锥反步编队控制

张佳乐1(), 焦生杰1,2,*(), 王玥琳1, 易小刚1   

  1. 1.长安大学 公路养护装备国家工程研究中心,西安 710064,中国
    2.江苏集萃道路工程技术与装备研究所有限公司,徐州 221004,中国
  • 收稿日期:2022-11-25 修回日期:2023-08-23 出版日期:2023-12-31 发布日期:2023-12-26
  • 通讯作者: * 焦生杰,教授。E-mail:jsj@chd.edu.cn
  • 作者简介:张佳乐(1995—),男(汉),陕西,博士研究生。E-mail:zjl@chd.edu.cn
  • 基金资助:
    长安大学研究生科研创新实践项目(300103723031);中央高校基本科研业务费专项资金项目(300102253731)

Backstepping formation control for smart traffic cones based on differential homogeneous transformation

ZHANG Jiale1(), JIAO Shengjie1,2,*(), WANG Yuelin1, YI Xiaogang1   

  1. 1. National Engineering Research Center of Highway Maintenance Equipment, Chang’an University, Xi’an 710065, China
    2. Jiangsu JIT RI Road Engineering Technology and Equipment Research Institute Co, Xuzhou 221004, China
  • Received:2022-11-25 Revised:2023-08-23 Online:2023-12-31 Published:2023-12-26

摘要:

为解决智慧交通锥的摆放和回收,对于一类装有标准交通锥模型的移动机器人,提出了一种基于微分同胚变换的反步编队控制方法。根据编队摆放和回收条件,将反步技术应用于智慧交通锥的动态误差方程中;用构造Lyapunov函数,设计了系统的控制量。将微分同胚变换与传统的反步方法相结合,解决控制输入限制的问题。用Matlab仿真和机器人操作系统(ROS)实验平台进行了仿真与实验验证。结果表明:本控制方法智慧交通锥的线速度为-0.5~0.5 m/s,角速度为-0.5~0.5 rad/s;编队距离误差均收敛到小于10 cm。相较于传统的反步编队控制方法,该文的反步编队控制方法可以更有效地控制智慧锥的线速度和角速度,使其稳定在规定范围内且变化平缓,能够保证智慧锥线速度和角速度的有界性,实现了斜线摆放以及回收工况下的编队控制。

关键词: 公路交通, 道路养护, 智慧交通锥, 微分同胚变换, 反步编队控制方法, Matlab仿真, 机器人操作系统(ROS)平台

Abstract:

A novel backstepping formation control method was proposed based on differential homogeneous transformation to place and recover the smart traffic cones. Based on formation placement and recovery conditions, the method applied the backstepping technique to the dynamic error equation. And the control input was designed by constructing the Lyapunov function. The control input limitation was done by combining the differential homogeneous transformation with the backstepping method. The simulation and experimental validation were conducted by utilizing the MATLAB and the Robot Operating System (ROS) platform. The results show that the linear velocity of the control method is -0.5~0.5 m/s, and the angular velocity is -0.5~0.5 rad/s; and the formation distance errors all converge to less than 10 cm. the linear and angular velocities of the smart cone are more effectively controlled, so as to make them more stable in the prescribed ranges and change more gently compared with the traditional backstepping formation control method. Therefore, this formation control of the smart cones is realized under the oblique placement and recovery conditions because of the guarantee of boundedness of the linear velocities and angular velocities.

Key words: highway traffic, road maintenance, intelligent traffic cones, differential homogeneous transformation, backstepping formation control method, Matlab simulation, Robot Operating System (ROS) platform

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