首页|期刊导航|自动化学报|智能网联无人系统云控制平台的关键理论与技术

智能网联无人系统云控制平台的关键理论与技术OA

Key Theories and Technologies of Cloud Control Platform for Intelligent Connected Unmanned Systems

中文摘要英文摘要

针对智慧城市中无人系统因通信架构不统一、任务调度效率低下及数字孪生技术难以支撑实时全局决策所导致的跨域协同难题,融合云控制系统理论与数字孪生技术,基于云网边端协同云控制架构,构建智能网联无人系统云控制平台及关键理论与技术体系.该体系涵盖云控制系统综合建模、模型−数据联合驱动控制、多运动体跨域协同云控制等关键理论,研究数字孪生系统、容器化云工作流调度系统、动态云控制系统、远程驾驶系统等关键技术.在校园场景下部署无人机、无人车、无人船、机器人等异构无人系统,形成空基、地基、海(水)基动态云并实现跨域协同,结果验证了所提理论体系的可行性与有效性,为未来智慧城市发展与跨域无人系统协同应用提供理论支撑与技术路径.

To address the cross-domain collaborative challenges of unmanned systems in smart cities,which arise from inconsistent communication architectures,inefficient task scheduling,and the inability of digital twin technolo-gies to support real time global decision making,this paper integrates cloud control system theory with digital twin technologies.Based on a cloud-network-edge-terminal collaborative cloud control architecture,we establish a cloud control platform for intelligent connected unmanned systems together with its key theoretical and technical frame-work.This framework encompasses key theories,such as comprehensive modeling of cloud control systems,model and data-driven joint control,and cross-domain collaborative cloud control for multi-motion bodies.In addition,several key technologies are studied,including a digital twin system,a containerized cloud workflow scheduling sys-tem,a dynamic cloud control system,and a remote driving system.A heterogeneous unmanned system composed of unmanned aerial vehicles,unmanned vehicles,unmanned surface vehicles,and robots is deployed in a campus scen-ario to form aerial-based,ground-based,and sea(water)-based dynamic clouds and to achieve cross-domain collab-oration.The results verify the feasibility and effectiveness of the proposed theoretical framework and provide theor-etical foundations and technical pathway for future smart city development and cross-domain unmanned system col-laborative applications.

夏元清;刘丹阳;杨洪玖;于东东;高润泽

中原工学院自动化与电气工程学院 郑州 451191||北京理工大学自动化学院 北京 100081北京理工大学自动化学院 北京 100081中原工学院自动化与电气工程学院 郑州 451191||天津大学电气自动化与信息工程学院 天津 300354中原工学院自动化与电气工程学院 郑州 451191北京理工大学自动化学院 北京 100081

智能网联无人系统云控制系统数字孪生云网边端协同架构智慧城市

intelligent connected unmanned systemscloud control systemsdigital twincloud-network-edge-ter-minal collaborative architecturesmart city

《自动化学报》 2026 (2)

240-253,14

国家自然科学基金(U25A20460,62373269),北京市自然科学基金−海淀原始创新联合基金(L252035)资助Supported by National Natural Science Foundation of China(U25A20460,62373269)and Beijing Natural Science Foundation-Haidian Original Innovation Joint Fund(L252035)

10.16383/j.aas.c250423

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