• 论文
主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
煤矿掘进机器人系统智能并行协同控制方法
  • Title

    Intelligent parallel cooperative control method of coal mine excavation robot system

  • 作者

    马宏伟王鹏王世斌毛清华石增武夏晶杨征薛旭升王川伟

  • Author

    MA Hongwei,WANG Peng,WANG Shibin,MAO Qinghua,SHI Zengwu, XIA Jing,YANG Zheng,XUE Xusheng,WANG Chuanwei

  • 单位

    西安科技大学 机械工程学院陕西省矿山机电装备智能监测重点实验室陕西煤业化工集团有限责任公司陕西陕煤榆北煤业有限公司陕西小保当矿业有限公司

  • Organization
    School of Mechanical Engineering,Xi’an University of Science and Technology; Shaanxi Key Laboratory of Mine Electromechanical Equipment Intelligent Monitoring; Shaanxi Coal and Chemical Industry Group Co.,Ltd.,; SHCCIG Yubei Coal Industry Co.,Ltd.,; Shaanxi Xiaobaodang Mining Co.,Ltd.,
  • 摘要

    煤矿巷道掘进长期存在的“采快掘慢”“掘快支慢”顽症,尤其是掘进工作面装备成套化、自动化、智能化程度偏低、顺序作业工艺技术落后等问题,严重影响生产接续和安全高效开采。对此,研发了护盾推移式煤矿巷道掘进机器人系统成套装备,提出了一种煤矿巷道掘进机器人系统智能并行协同控制方法。首先,结合掘进机器人系统与巷道的耦合关系,分析了掘进机器人系统中各个子系统之间的相关性以及多任务之间的相互影响机理,得出了决定掘进效率的关键因素在于截割机器人和钻锚机器人的并行协同控制;其次,针对钻锚机器人各钻机之间的时空关系,构建了多钻机多任务协同钻锚作业数学模型,获得了钻机布置排距、排数及其各排钻锚任务数,同时使用优化组合的方法进行求解,并对计算结果通过安全距离最大原则进行优化,获得了钻锚机器人各排钻机最佳时空匹配策略;最后,通过钻锚机器人系统并行协同控制仿真和实验,证明了该方法的有效性;通过对掘进机器人工作时截割机器人与钻锚机器人的时序分析,得出优化后的钻锚机器人工作时间能够与截割机器人工作时间有效匹配,2者能够并行协同的完成截割和钻锚任务。该方法已经应用在团队研发的煤矿智能掘进机器人系统上,实现了多机器人系统的智能并行协同控制。具有智能并行协同控制的掘进机器人系统已经在大断面(6.50 m×4.25 m)、夹矸与片帮共存的巷道运行近10个月,经受了夹矸厚度达2.1 m、硬度f=5~7的严酷考验,日进尺突破50 m。

  • Abstract

    The persistent problems of “mining fast and heading slow” and “heading fast and supporting slow” in coal mine roadway drivage still exist currently,especially the problems of low degree of equipment complete set,automation,and intelligence,and backward sequential operation technology,which seriously affect the production continuity,and safe and efficient mining.To overcome the problems,this study had developed a complete set of shield pushing robot system for coal mine roadway drivage,and puts forward an intelligent parallel cooperative control method for coal mine roadway drivage robot system.Firstly,the correlation between the subsystems of the drivage robot system and the interaction mechanism between multiple tasks were analyzed based on the coupling relationship between the drivage robot system and the roadway.It was concluded that the key factor to determine the drivage efficiency is the parallel cooperative control of the cutting robot and the anchor drilling robot.Secondly,according to the space-time relationship between each drilling rig,a mathematical model of multi-rig and multi-task cooperative drilling and anchoring operation was built to obtain the row spacing,row number and the number of each row's drilling and anchoring tasks.At the same time,the optimal combination method was used to solve the problem,and the calculation results were optimized according to the maximum safety distance principle so as to obtain the optimal space-time matching strategy of each row of drilling rigs.Finally,the effectiveness of the proposed method was proved by the simulation and experiment of parallel cooperative control of drilling and anchoring robot system.The timing analysis of cutting robot and drilling and anchoring robot when drivage robot works shows that the working time of optimized drilling and anchoring robot can effectively match the working time of cutting robot,and they can complete the cutting and drilling and anchoring tasks in parallel and cooperation.The method has been applied to the intelligent drivage robot system developed by the team,and the intelligent parallel cooperative control of multi-robot system has been realized.The drivage robot system with intelligent parallel cooperative control has been operating for nearly 10 months in the roadway with large section (6.5 m×4.25 m),dirt band and rib spalling co-existing,and has withstood the severe test of 2.1 m thick dirt band and f=5-7 hardness,and the drill footage per day has exceeded 50 meters.

  • 关键词

    掘进机器人协同控制煤矿巷道钻锚机器人优化组合时序分析

  • KeyWords

    tunneling robot;cooperative control;coal mine roadway;anchor drilling robot;optimal combination;timing analysis

  • 基金项目(Foundation)
    国家自然科学基金面上资助项目(51975468);陕西省创新人才计划资助项目(2018TD-032);陕西省科技计划项目青年基金资助项目(2018JQ5116)
  • 文章目录

    1智能掘进机器人多系统相关性分析

      1.1智能掘进机器人系统构成

      1.2各子系统及其与围岩之间的相关性分析

    2基于时间最优的智能掘进机器人并行控制方法

    3基于优化组合的钻锚机器人系统协同控制方法

    4钻锚机器人系统控制方法仿真分析

    5煤矿井下试验验证

    6结论

  • 引用格式
    马宏伟,王鹏,王世斌,等.煤矿掘进机器人系统智能并行协同控制方法
    [J].煤炭学报,2021,46(7):2057-2067.
    MA Hongwei,WANG Peng,WANG Shibin,et al.Intelligent parallel cooperative control method of coal mine excavation robot system
    [J].Journal of China Coal Society,2021,46(7):2057-2067.
  • 相关文章
  • 相关专题
  • 图表
相关问题

主办单位:煤炭科学研究总院有限公司 中国煤炭学会学术期刊工作委员会

©版权所有2015 煤炭科学研究总院有限公司 地址:北京市朝阳区和平里青年沟东路煤炭大厦 邮编:100013
京ICP备05086979号-16  技术支持:云智互联