基于多虚拟领航者的智能车编队控制研究
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

U495;TP273

基金项目:

国家自然科学基金(61803206)


Platooning control of intelligent vehicles based on multiple virtual leaders
Author:
Affiliation:

Fund Project:

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

    针对智能车队(SP)在通过无信号灯交叉口时稳定性差、通行效率低等难题,提出一种基于多虚拟领航者(VL)的智能车编队控制方法.首先,以SP为研究对象,对传统人工势能函数(APF)进行改进,利用非线性函数关系描述智能车队系统内车-车之间的作用力.其次,基于虚拟领航思想,设计了基于多VL的SP成形改进人工势能函数蜂拥控制算法(IAPFFCA-VLs),并通过Lyapunov稳定性方法以及LaSalle不变性原理证明算法的稳定性.最后,利用Matlab进行SP成形控制仿真并与融合IAPF的蜂拥控制算法(FCA-IAPF)进行对比.实验结果表明,FCA-IAPF可以实现车-车间距控制与避碰,但是随着车辆数量的增多,会存在局部最优"分块"问题且不能形成规则编队.相较FCA-IAPF,IAPFFCA-VLs算法总体性能均得到了优化,可实现不同初始状态、不同数量但目的地相同的车辆保持合理间距,并在避碰的同时速度渐近达成一致,所有智能车与各自VL之间的位置距离误差终值小于0.1 m、纵向速度误差终值小于1 m/s、横向速度误差终值趋于0.001 m/s,可以安全、迅速、稳定地约束为规则编队后驶出无信号灯交叉口,对提高无信号灯交叉SP行驶稳定性以及交通效率具有重要意义.

    Abstract:

    To address the challenges of poor stability and low traffic efficiency faced by Smart Platooning(SP) when passing through unsignalized intersections,a smart vehicle formation control approach based on multiple Virtual Leaders(VLs) is proposed.Firstly,to improve the traditional Artificial Potential Function(APF) with SP as the research object,the nonlinear relationship is utilized to describe the vehicle-vehicle forces within the SP system.Secondly,an Improved APF Flocking Control Algorithm based on multiple VLs(IAPFFCA-VLs) for SP formation control is designed according to the concept of virtual leadership,and the stability of the algorithm is tested and validated by Lyapunov stability method as well as LaSalle's invariance principle.Finally,SP forming control simulation is performed using Matlab and compared with the Flocking Control Algorithm incorporating Improved APF(FCA-IAPF).The experimental results indicate that the FCA-IAPF can realize vehicle-vehicle distance control and collision avoidance,but with the increase of vehicle number,it encounters the problem of local optimal chunking and fails to form a regular SP.Compared with the FCA-IAPF,the proposed IAPFFCA-VLs approach has been optimized in overall performance,enabling vehicles with different initial states and quantities but the same destination to maintain reasonable spacing and avoid collision while progressively achieving speed consensus.The resulting final position distance error between intelligent vehicles and their respective VLs is less than 0.1 m,the final longitudinal speed error is less than 1 m/s,and the final lateral speed error tends to 0.001 m/s.The vehicles can safely,rapidly,and stably form a regular formation and exit the unsignalized intersection,which is of great significance for improving the driving stability and traffic efficiency of SPs at unsignalized intersections.

    参考文献
    相似文献
    引证文献
引用本文

肖广兵,邢启明,孙宁.基于多虚拟领航者的智能车编队控制研究[J].南京信息工程大学学报(自然科学版),2025,17(6):815-827
XIAO Guangbing, XING Qiming, SUN Ning. Platooning control of intelligent vehicles based on multiple virtual leaders[J]. Journal of Nanjing University of Information Science & Technology, 2025,17(6):815-827

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2024-05-22
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2025-12-11
  • 出版日期: 2025-11-28

地址:江苏省南京市宁六路219号    邮编:210044

联系电话:025-58731025    E-mail:nxdxb@nuist.edu.cn

南京信息工程大学学报 ® 2026 版权所有  技术支持:北京勤云科技发展有限公司