含变化时延和未知输入的智能网联车编队控制
CSTR:
作者:
作者单位:

苏州科技大学电子与信息工程学院

作者简介:

通讯作者:

中图分类号:

TP273

基金项目:

国家自然科学基金(62303342),江苏省研究生科研与实践创新计划项目(SJCX23_1735), 江苏高校境外研修计划。


Formation Control for Intelligent Connected Vehicles with Time-Varying Delays and Unknown Inputs
Author:
Affiliation:

Suzhou University of Science and Technology

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:

    针对智能网联车辆在通信受限环境下遇到的通信延迟、资源受限、未知输入及非理想通信拓扑等问题, 提出了一种基于观测器的协同编队控制策略. 首先, 根据四元素模型对车辆队列系统进行动力学建模; 其次, 为解决系统部分状态不可测、未知输入与可测噪声等问题设计了积分观测器, 依此设计协同编队控制策略; 然后, 构建误差系统并引入H∞性能指标, 构造Lyapunov-Krasovskii泛函处理变化时延, 将基于观测器的编队控制问题转化为误差系统稳定性问题,并推导出稳定充分条件. 仿真结果验证了所提方法的正确性与有效性.

    Abstract:

    To address issues such as communication delays, resource constraints, unknown inputs, and non-ideal communication topologies encountered by intelligent and connected vehicles in a communication-limited environment, an observer-based coordinated formation control strategy is proposed. Firstly, the vehicle platoon system is dynamically modeled based on the four-element model. Secondly, to solve problems such as unmeasurable partial system states, unknown inputs, and measurable noise, an integral observer is designed. Based on this observer, a coordinated formation control strategy is formulated. Subsequently, an error system is constructed and an H∞ performance metric is introduced. By employing a Lyapunov-Krasovskii functional to handle varying time delays, the observer-based formation control problem is transformed into a stability problem for the error system. Stable sufficient conditions are derived, and simulation results verify the correctness and effectiveness of the proposed method.

    参考文献
    相似文献
    引证文献
引用本文
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:2024-04-25
  • 最后修改日期:2024-08-22
  • 录用日期:2024-08-24
  • 在线发布日期: 2024-09-06
  • 出版日期:
文章二维码