基于ReWorks的无人智能控制系统设计与实现

黄河, 杨帆, 蒲涛, 艾婧媚

集成电路与嵌入式系统 ›› 2025, Vol. 25 ›› Issue (12) : 27-32.

PDF(11421 KB)
PDF(11421 KB)
集成电路与嵌入式系统 ›› 2025, Vol. 25 ›› Issue (12) : 27-32. DOI: 10.20193/j.ices2097-4191.2025.0078
智能嵌入式系统软硬件协同设计与应用专栏

基于ReWorks的无人智能控制系统设计与实现

作者信息 +

Design and implementation of unmanned intelligent control system based on ReWorks

Author information +
文章历史 +

摘要

针对无人系统在自主可控、实时响应与智能协同方面的核心需求,提出一种基于锐华嵌入式实时操作系统(ReWorks)和开源欧拉操作系统(openEuler)的全栈国产化无人智能控制系统解决方案。通过构建“AI大脑+实时小脑”的双系统异构架构,结合ROS2通信框架与microROS嵌入式扩展,实现智能决策与硬实时控制的深度协同。在龙芯2K1000、飞腾D2000等国产硬件平台上验证,结果表明该方案的实时性能指标显著优于Linux,为水下机器人、无人机等无人系统应用场景提供了全栈自主可控的技术路径。

Abstract

Addressing the core requirements of unmanned systems in terms of autonomous controllability, real-time response, and intelligent collaboration, this paper proposes a full-stack localized unmanned intelligent control system solution based on ReWorks embedded real-time operating system and openEuler open-source operating system. By constructing a dual-system heterogeneous architecture of "AI brain + real-time cerebellum", combined with the ROS2 communication framework and microROS embedded extension, deep collaboration between intelligent decision-making and hard real-time control is achieved. Verification on domestic hardware platforms such as Loongson 2K1000 and Feiteng D2000 shows that the real-time performance indicators of this solution are significantly better than those of Linux, providing a full-stack autonomous controllable technology path for unmanned system application scenarios such as underwater robots and drones.

关键词

锐华操作系统 / 全栈国产化 / ROS2 / microROS / 实时控制 / 无人系统

Key words

ReWorks / full stack localization / ROS2 / microROS / real-time control / unmanned system

引用本文

导出引用
黄河, 杨帆, 蒲涛, . 基于ReWorks的无人智能控制系统设计与实现[J]. 集成电路与嵌入式系统. 2025, 25(12): 27-32 https://doi.org/10.20193/j.ices2097-4191.2025.0078
HUANG He, YANG Fan, PU Tao, et al. Design and implementation of unmanned intelligent control system based on ReWorks[J]. Integrated Circuits and Embedded Systems. 2025, 25(12): 27-32 https://doi.org/10.20193/j.ices2097-4191.2025.0078
中图分类号: TP273 (自动控制、自动控制系统)   

参考文献

[1]
孙长银, 穆朝絮, 柳文章, 等. 自主无人系统的具身认知智能框架[J]. 科技导报, 2024, 42(12):157-166.
摘要
自主无人系统是一类具有自主认知、运动规划、自主决策和推理能力的智能系统,其目标是在有限甚至没有人工参与的情况下完成复杂开放动态场景中的通用任务。针对自主无人系统在跨域协同任务上往往面临协同感知效率低、自组网通信可靠性差、资源调度流程慢、任务分配易冲突等一系列问题,探讨了融合大模型和生成式人工智能技术,构建了“大模型+自主无人系统+人工智能生成内容”为一体的自主无人系统“算-控-测”具身认知智能架构,以推动自主无人系统具身认知智能应用落地。
SUN C Y, MU C X, LIU W Z, et al. Embodied cognitive intelligence framework for autonomous unmannedsystems[J]. Science and Technology Review, 2024, 42(12):157-166 (in Chinese).
[2]
本刊编辑部. 混合关键系统助力工业智能系统蓬勃发展:“第五届国产嵌入式操作系统技术与产业发展论坛”圆满结束[J]. 单片机与嵌入式系统应用, 2023, 23(9):1-3.
Editorial Department. Mixed critical systems boost the prosperous development of industrial intelligent systems:The fifth national embedded operating system technology and industry development forum successfully concluded[J]. Microcontrollers & Embedded Systems Applications, 2023, 23(9):1-3 (in Chinese).
[3]
叶玉杰, 田彬杰, 黄浩. 智能巡逻机器人控制系统设计[J]. 自动化与仪器仪表, 2025,(2):208-213.DOI:10.14016/j.cnki.1001-9227.2025.02.208.
YE Y J, TIAN B J, HUANG H. Design of control system for intelligent patrol robot[J]. Automation and Instrumentation, 2025,(2):208-213.DOI:10.14016/j.cnki.1001-9227.2025.02.208 (in Chinese).
[4]
刘宁宁, 刘源, 郭壬戌. 基于机器视觉的机器人控制系统研究[J]. 仪器仪表用户, 2025, 32(6):11-13.
LIU N N, LIU Y, GUO R X. Research on robot control system based on machine vision[J]. Instrumentation User, 2025, 32(6):11-13 (in Chinese).
[5]
瞿伟, 余飞鸿. 基于多核处理器的非对称嵌入式系统研究综述[J]. 计算机科学, 2021, 48(S1):538-542.
QU W, YU F H. Review on asymmetric embedded systems based on multi-core processors[J]. Computer Science, 2021, 48(S1):538-542 (in Chinese).
[6]
张美玉, 张倩颖, 孟子琪, 等. 实时嵌入式双操作系统架构研究综述[J]. 电子学报, 2018, 46(11):2787-2796.
摘要
随着全球工业4.0战略的提出,工业控制及航空航天等领域对嵌入式系统的要求越来越高,对实时性具有严格要求同时还需要应用功能丰富的通用操作系统的支持.针对该需求现状,学术界和产业界提出双操作系统的解决思路,即同时运行实时操作系统和通用操作系统.本文归纳总结国内外嵌入式双操作系统的研究现状,对各种实现技术进行深入探讨和分析,列举嵌入式双操作系统典型应用和主要应用领域,最后对该类技术的研究趋势进行总结.
ZHANG M Y, ZHANG Q Y, MENG Z Q, et al. Review on real-time embedded dual operating system architecture[J]. Journal of Electronics, 2018, 46(11):2787-2796 (in Chinese).
[7]
黄河, 杜坚, 任见, 等. ReWorks的POWERLINK主站设计与解决方案[J]. 单片机与嵌入式系统应用, 2021, 21(5):16-21.
HUANG H, DU J, REN J, et al. Design and solution of POWERLINK master station based on ReWorks[J]. Microcontrollers & Embedded Systems Applications, 2021, 21(5):16-21 (in Chinese).
[8]
黄河, 任见, 佘庆, 等. 基于ReWorks的内存日志服务设计与优化[J]. 计算机应用与软件, 2023, 40(1):273-279.
HUANG H, REN J, SHE Q, et al. Design and optimization of memory log service based on ReWorks[J]. Computer Applications and Software, 2023, 40(1):273-279 (in Chinese).
[9]
ANTONELLI M. Micro-ROS: Bringing ROS 2 to Microcontrollers[J]. IEEE RAM, 2021.
[10]
MACENSKI S. Robot Operating System 2:Design,Architecture,and Uses in the Wild[J]. Science Robotics, 2022.
[11]
李斌. 基于micro-ROS的移动机器人嵌入式控制系统的开发和设计[D]. 济南: 齐鲁工业大学, 2023.DOI:10.27278/d.cnki.gsdqc.2023.000578.
LI B. Development and design of embedded control system for mobile robot based on micro-ROS[D]. Jinan: Qilu University of Technology, 2023.DOI: 10.27278/d.cnki.gsdqc.2023.000578 (in Chinese).
[12]
高华. ROS2的RTOS支持扩展研究与实现[D]. 北京: 北京邮电大学, 2020.DOI:10.26969/d.cnki.gbydu.2020.002346.
GAO H. Research and implementation of RTOS support extension for ROS2[D]. Beijing: Beijing University of Posts and Telecommunications, 2020.DOI: 10.26969/d.cnki.gbydu.2020.002346 (in Chinese).
[13]
郑行杰. 基于ZYNQ平台的嵌入式多核系统实时性策略的研究与实现[D]. 成都: 电子科技大学, 2021.DOI:10.27005/d.cnki.gdzku.003651.2021.
ZHENG X J. Research and implementation of real-time strategies for embedded multi-core systems based on ZYNQ platform[D]. Chengdu: University of Electronic Science and Technology of China, 2021.DOI:10.27005/d.cnki.gdzku.2021.003651 (in Chinese).
[14]
何瑞琦, 张凯龙, 吴金飞, 等. 基于多核异构操作系统的动态冗余可靠机制研究[J]. 计算机科学, 2025, 52(4):33-39.
HE R Q, ZHANG K L, WU J F, et al. Research on dynamic redundancy reliability mechanism based on multi-core heterogeneous operating system[J]. Computer Science, 2025, 52(4):33-39 (in Chinese).
[15]
湛文韬, 朱恩亮, 杨柳, 等. 基于AMP架构的机载多核处理技术研究[J]. 电光与控制, 2023, 30(11):76-79,104.
ZHAN W T, ZHU E L, YANG L, et al. Research on airborne multi-core processing technology based on AMP architecture[J]. Electronics Optics & Control, 2023, 30(11):76-79,104 (in Chinese).

基金

科技创新2030“新一代人工智能”重大项目(2021ZD0114502)

责任编辑: 薛士然
PDF(11421 KB)

Accesses

Citation

Detail

段落导航
相关文章

/