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并联式选矸机器人路径规划研究

黄金凤 张建喜 于江涛 苗术佶

黄金凤,张建喜,于江涛,等. 并联式选矸机器人路径规划研究[J]. 工矿自动化,2022,48(8):26-32, 42.  doi: 10.13272/j.issn.1671-251x.2022040073
引用本文: 黄金凤,张建喜,于江涛,等. 并联式选矸机器人路径规划研究[J]. 工矿自动化,2022,48(8):26-32, 42.  doi: 10.13272/j.issn.1671-251x.2022040073
HUANG Jinfeng, ZHANG Jianxi, YU Jiangtao, et al. Research on path planning of parallel gangue selection robot[J]. Journal of Mine Automation,2022,48(8):26-32, 42.  doi: 10.13272/j.issn.1671-251x.2022040073
Citation: HUANG Jinfeng, ZHANG Jianxi, YU Jiangtao, et al. Research on path planning of parallel gangue selection robot[J]. Journal of Mine Automation,2022,48(8):26-32, 42.  doi: 10.13272/j.issn.1671-251x.2022040073

并联式选矸机器人路径规划研究

doi: 10.13272/j.issn.1671-251x.2022040073
基金项目: 河北省创新能力提升计划项目(199676195H)。
详细信息
    作者简介:

    黄金凤(1965—),女,河北唐山人,副教授,硕士,研究方向为机器人技术,E-mail:hjf@ncst.edu.cn

    通讯作者:

    于江涛(1988—),男,河北唐山人,实验师,硕士,研究方向为机器人技术,E-mail:yujt@ncst.edu.cn

  • 中图分类号: TD948.9

Research on path planning of parallel gangue selection robot

  • 摘要: 目前煤矸石分选机械手多采用串联式,与串联机械手相比,并联机械手能够在短时间内达到较高的运动速度,且负载能力更强,更适用于大质量煤矸石分选。以并联式选矸机器人为研究对象,对其并联机械手的“梯”型路径规划与“V”型路径规划2种动态分选路径规划方法进行对比分析。“梯”型路径规划:机械手末端执行器将矸石推出输送带后,先向上抬起一定距离,再完成回程运动。“V”型路径规划:机械手末端执行器将矸石推出输送带后,先回到标准线内,再快速运动到与下一个目标矸石平行的位置,完成1个运动周期。通过建立并联机械手动力学模型,探究机械手在沿2种路径运动时驱动电动机转矩的变化情况,计算在转矩满足要求的前提下,沿2种路径完成1个运动周期所用的时间,进而对比机械手沿2种路径的作业效率。仿真结果表明,采用“梯”型路径和“V”型路径完成1个运动周期所用时间分别为1.2,0.65 s,采用“V”型路径所用时间较短,选矸效率较高。现场应用结果表明,采用“V”型路径、“梯”型路径时,平均矸石分选率分别为94.23%和88.28%,且采用“V”型路径时的总用时比采用“梯”型路径时少近19%,选矸效率更高。

     

  • 图  1  并联式选矸机器人系统

    Figure  1.  Parallel gangue selection robot system

    图  2  煤矸分选过程

    Figure  2.  Coal and gangue selection process

    图  3  并联机械手结构

    Figure  3.  The structure of parallel manipulator

    图  4  “梯”型路径

    Figure  4.  "Ladder" path

    图  5  “V”型路径

    Figure  5.  "V" path

    图  6  机械手机构简图

    Figure  6.  Schematic diagram of manipulator mechanism

    图  7  机械手驱动电动机转矩变化曲线

    Figure  7.  Torque curves of drive motor of manipulator

    图  8  并联式选矸机器人应用现场

    Figure  8.  Application site of parallel gangue selection robot

    表  1  2种路径规划方法测试结果

    Table  1.   Test results of 2 path planning methods

    序号路径规
    划方法
    总用
    时/s
    识别
    数/块
    分选
    数/块
    矸石分
    选率/%
    1“梯”型21019817889.90
    “V”型18518918296.30
    2“梯”型20918616588.70
    “V”型17919619197.45
    3“梯”型25719516886.15
    “V”型18918216490.12
    4“梯”型23918916788.36
    “V”型17618717493.04
    下载: 导出CSV
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  • 收稿日期:  2022-04-26
  • 修回日期:  2022-08-03
  • 网络出版日期:  2022-07-18

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