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基于分段线性回归的煤机装备机载操作臂定位误差补偿方法

贾运红 王振翀 焦晓峰

贾运红, 王振翀, 焦晓峰. 基于分段线性回归的煤机装备机载操作臂定位误差补偿方法[J]. 矿业科学学报, 2020, 5(6): 655-661. doi: 10.19606/j.cnki.jmst.2020.06.008
引用本文: 贾运红, 王振翀, 焦晓峰. 基于分段线性回归的煤机装备机载操作臂定位误差补偿方法[J]. 矿业科学学报, 2020, 5(6): 655-661. doi: 10.19606/j.cnki.jmst.2020.06.008
Jia Yunhong, . Positioning error compensation method of coal machine equipment airborne operating arm based on piecewise linear regression[J]. Journal of Mining Science and Technology, 2020, 5(6): 655-661. doi: 10.19606/j.cnki.jmst.2020.06.008
Citation: Jia Yunhong, . Positioning error compensation method of coal machine equipment airborne operating arm based on piecewise linear regression[J]. Journal of Mining Science and Technology, 2020, 5(6): 655-661. doi: 10.19606/j.cnki.jmst.2020.06.008

基于分段线性回归的煤机装备机载操作臂定位误差补偿方法

doi: 10.19606/j.cnki.jmst.2020.06.008
详细信息
    作者简介:

    贾运红(1978—),女,山西夏县人,研究员,博士研究生,主要从事煤矿钻锚机器人和煤矿电气自动化方面的研究工作。Tel:18903511889,E-mail:mkyjyh@126.com

Positioning error compensation method of coal machine equipment airborne operating arm based on piecewise linear regression

  • 摘要: 针对煤机装备机载操作臂的定位误差补偿问题,提出了一种基于分段线性回归的定位误差补偿方法。该方法基于一种煤机装备的典型机载多关节操作臂进行运动学分析,建立了正向运动学和逆向运动学方程;基于3个工作位置设计了操作臂固定的“”形运行路径;多次采集同一路径中多个位置点的位置信息,对路径点的测量值与目标值进行数据分析,并对目标值进行修正,实现误差补偿。实验验证结果表明,运用分段线性回归的方法进行误差补偿,使得x、y、z三个方向的均方根误差分别降低到100 mm以下,平均绝对误差降低到100 mm以下,满足误差在100 mm以下的工作需求。
  • [1] 薛光辉,程继杰,管健,等深部综掘巷道机器人化超前支护方案与最佳支护时机研究[J]. 矿业科学学报,2019,4(4):349-356
    [2] Xue Guanghui,Cheng Jijie,Guan Jian,et al. Robotized advance support scheme and optimum support opportunity for deep fully mechanized[J]. Journal of Mining Science and Technology,2019,4(4):349-356
    [3] 商德勇,范迅,赵建伟薄煤层工作面巡检机器人行走机构设计及越障分析[J]. 矿业科学学报,2016,1(1):67-73
    [4] Shang Deyong,Fan Xun,Zhao JianweiWalking mechanism design and analysis on obstacle crossing for inspection robot in thin coal seam face [J]. Journal of Mining Science and Technology,2016,1(1):67-73
    [5] Mooring B W,Roth Z S,Driels M RFundamentals of manipulator calibration[M]. New York,USA:Wiley,1991
    [6] Chen G,Li T,Chu M,et al. Review on kinematics calibration technology of serial robots [J]. International Journal of Precision Engineering and Manufacturing,2014,15(8):1759-1774
    [7] 夏毅敏,李正光,罗建利,等基于位姿误差补偿的全电脑凿岩台车钎杆定位算法[J]. 中南大学学报:自然科学版,2019,50(1):44-51
    [8] Xia Yimin,Li Zhengguang,Luo Jianli,et al. Positioning algorithm of drill rod for full computercontrolled rockdrilling jumbo based on pose error compensation [J]. Journal of Central South University:Science and Technology,2019,50(1):44-51
    [9] He R B,Zhao Y J,Yang S N,et al. Kinematicparameter identification for serialrobot calibration based on POE formula [J]. IEEE Transactions on Robotics,2010,26(3):411-423
    [10] 徐昌军基于MDH模型的工业机器人运动学标定技术的研究[D]. 哈尔滨:哈尔滨工业大学,2017
    [11] Filion A,Joubair A,Tahan A S,et al. Robot calibration using a portable photogrammetry system [J]. Robotics and Computerintegrated Manufacturing,2018,49:77-87
    [12] 刘常杰,解成超,叶声华工业机器人坐标测量系统实时校准补偿技术[J]. 光电子·激光,2011,22(1):86-90
    [13] Liu Changjie,Xie Chengchao,Ye ShenghuaStudy on realtime calibration and compensation of the coordinate measurement system for industry robot [J]. Journal of Optoelectronics·laser,2011,22(1):86-90
    [14] 陈钢,王蕾,贾庆轩,等基于MCPC模型的机器宇航员运动学参数标定方法与实验[J]. 机器人,2017,39(2):151-159
    [15] Chen Gang,Wang Lei,Jia Qingxuan,et al. Calibration method and experiments of kinematic parameters for robonaut based on MCPC model[J],ROBOT,2017,39(2):151-159
    [16] Stone H WKinematic modeling,identification,and control of robotic manipulators[M]. Boston,USA:Kluwer Academic Publishers,1987
    [17] Nguyen H N,Zhou J,Kang H JA calibration method for enhancing robot accuracy through integration of an extended kalman filter algorithm and an artificial neural network [J]. Neurocomputing,2015,151:996-1005
    [18] Wang D L,Bai Y,Zhao J YRobot manipulator calibration using neural network and a camerabased measurement system [J]. Transactions of the Institute of Measurement and Control,2012,34(1):105-121
    [19] Cao C T,Do V P,Lee B RA novel indirect calibration approach for robot positioning error compensation based on neural network and handeye vision[J]. Applied Sciences,2019,9(9):1-17
    [20] Yuan P J,Chen D D,Wang T M,et al. A compensation method based on extreme learning machine to enhance absolute position accuracy for aviation drilling robot [J]. Advances in Mechanical Engineering,2018,10(3):1-11
    [21] 戴厚德,曾现萍,游鸿修基于光学运动跟踪系统的机器人末端位姿测量与误差补偿[J]. 机器人,2019,41(2):206-215
    [22] Dai Houde,Zeng Xianping,You HongxiuPose measurement and error compensation of the robot endeffector based on an optical tracking system[J]. Robot,2019,41(2):206-215
    [23] 刘鹏坤,王聪基于机器视觉的长壁工作面直线度测量算法研究[J]. 矿业科学学报,2017,2(3):267-273
    [24] Liu Pengkun,Wang CongStraightness measurement algorithm based on machine vision for coal longwall face [J]. Journal of Mining Science and Technology,2017,2(3):267-273
    [25] 陈慎金,成龙,王鹏江,等一种用于井下测量的自整平式仪器平台设计[J]. 矿业科学学报,2018,3(5):477-483
    [26] Chen Shenjin,Cheng Long,Wang Pengjiang,et al. A selfleveling instrument platform design for the underground measurement[J]. Journal of Mining Science and Technology,2018,3(5):477-483
    [27] 倪加勋再介绍一种新的回归方法:分段线性回归[J]. 统计与决策,1987(3):49-51
    [28] Ni JiaxunA new regression method,piecewise linear regression [J]Statistics & Decision,1987(3):49-51
    [29] 郭治富全自动两臂锚杆钻车空间位姿与碰撞检测技术研究[D]. 北京:中国矿业大学(北京),2017
    [30] 周志华机器学习[M]. 北京:清华大学出版社,2016:53-57
    [31] 张礼才关节臂在矿用减速器测量中的应用[J]. 煤炭技术,2017,36(11):257-259
    [32] Zhang LicaiApplication of joint arm in mineused reducer measurement J. Coal Technology20173611):257-259
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  • 刊出日期:  2020-12-31

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