含变化时延和集总扰动的智能网联车编队控制
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TP273

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国家自然科学基金项目(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项目.


Formation control for intelligent connected vehicles with time-varying delays and aggregate perturbation
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    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、集总扰动及非理想通信拓扑等影响, 提出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、集总扰动与可测噪声等问题设计积分观测器, 依此设计协同编队控制策略; 然后, 构建误差系统并考虑$H_\infty$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; 最后通过仿真结果验证所提方法的正确性和有效性.

    Abstract:

    To address issues such as communication delays, resource constraints, aggregate perturbation, 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. Then, to solve problems such as unmeasurable partial system states, aggregate perturbation, 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 $H_\infty$ 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.

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罗世坚,常琪,项玥,等.含变化时延和集总扰动的智能网联车编队控制[J].控制与决策,2025,40(4):1293-1302

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  • 收稿日期:2024-04-25
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  • 在线发布日期: 2025-03-21
  • 出版日期: 2025-04-20
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