基于异构多智能体系统钉住共识的混合车辆排协同控制

IF 2.3 4区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IET Intelligent Transport Systems Pub Date : 2024-10-30 DOI:10.1049/itr2.12585
Wenju Du, Changxi Ma, Jiangang Zhang
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引用次数: 0

摘要

针对存在驾驶员响应时延和通信时延的混合车辆队列,提出了一种基于异构多智能体系统钉住共识的纵向控制器。首先,设计了一种自适应钉钉一致性控制协议,推导了异构非线性多智能体系统实现钉钉一致性的充分条件;在此基础上,基于车辆跟随模型描述了车辆的异构特性,构建了混合车辆排系统模型,提出了基于异构多智能体钉住共识的混合车辆排控制器。此外,在模型中引入了驱动响应时延和通信时延,设计了基于时延异构多智能体钉住共识的控制器。最后,通过数值仿真验证了所提控制器的有效性,并定量论证了联网车辆数量、不同类型车辆顺序、驾驶员响应时延、通信时延以及控制器参数对混合车辆排稳定性的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Cooperative control of mixed vehicle platoon based on pinning consensus of heterogeneous multi-agent system

This paper proposes a longitudinal controller for the mixed vehicle platoon in the presence of driver response time-delay and communication time-delay based on the pinning consensus of heterogeneous multi-agent system. Firstly, an adaptive pinning consensus control protocol and derive sufficient conditions for the heterogeneous non-linear multi-agent system are designed to achieve pinning consistency. Then, the heterogeneous characteristics of the vehicle are described based on the car-following model, then the mixed vehicle platoon system model is constructed and a mixed vehicle platoon controller based on heterogeneous multi-agent pinning consensus is proposed. Besides, the driver response time-delay and communication time-delay are introduced into the model, and a controller based on time-delay heterogeneous multi-agent pinning consensus is designed. Finally, the effectiveness of the proposed controller is verified by numerical simulations, and the effect of number of connected autonomous vehicle, different types of vehicle order, driver response time-delay, communication time-delay and the parameter of the controller on stability of mixed vehicle platoon is also quantitatively demonstrated.

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来源期刊
IET Intelligent Transport Systems
IET Intelligent Transport Systems 工程技术-运输科技
CiteScore
6.50
自引率
7.40%
发文量
159
审稿时长
3 months
期刊介绍: IET Intelligent Transport Systems is an interdisciplinary journal devoted to research into the practical applications of ITS and infrastructures. The scope of the journal includes the following: Sustainable traffic solutions Deployments with enabling technologies Pervasive monitoring Applications; demonstrations and evaluation Economic and behavioural analyses of ITS services and scenario Data Integration and analytics Information collection and processing; image processing applications in ITS ITS aspects of electric vehicles Autonomous vehicles; connected vehicle systems; In-vehicle ITS, safety and vulnerable road user aspects Mobility as a service systems Traffic management and control Public transport systems technologies Fleet and public transport logistics Emergency and incident management Demand management and electronic payment systems Traffic related air pollution management Policy and institutional issues Interoperability, standards and architectures Funding scenarios Enforcement Human machine interaction Education, training and outreach Current Special Issue Call for papers: Intelligent Transportation Systems in Smart Cities for Sustainable Environment - https://digital-library.theiet.org/files/IET_ITS_CFP_ITSSCSE.pdf Sustainably Intelligent Mobility (SIM) - https://digital-library.theiet.org/files/IET_ITS_CFP_SIM.pdf Traffic Theory and Modelling in the Era of Artificial Intelligence and Big Data (in collaboration with World Congress for Transport Research, WCTR 2019) - https://digital-library.theiet.org/files/IET_ITS_CFP_WCTR.pdf
期刊最新文献
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