Offline simulation of path deviation due to joint compliance and hysteresis for robot machining

被引:77
作者
Cordes, Marcel [1 ]
Hintze, Wolfgang [1 ]
机构
[1] Hamburg Univ Technol, Inst Prod Management & Technol, D-21073 Hamburg, Germany
关键词
Robot; Machining; Joint compliance; Hysteresis; Reversal error; STIFFNESS; IDENTIFICATION; ACCURACY; ERRORS;
D O I
10.1007/s00170-016-9461-z
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Industrial robots offer a cost-effective and flexible machining alternative to the classic machining centers. One disadvantage is the significantly reduced working accuracy that results in considerable path deviation, particularly under load. To maximize the effectiveness of the robot and to derive suitable machining strategies, knowledge of the effects on the working accuracy is required. In this study, a model is presented in joint space that predicts the path deviation on the basis of joint stiffness and reversal error with high accuracy, with respect to the kinematic model and path planning. The identification of the model parameters of individual joints is carried out without disassembling the robot. The model is validated against the hysteresis occurring at the Tool Center Point and through the milling of circular contours. It is shown that the reversal error is mainly caused by hysteresis and not by backlash at zero crossing. The subsequent offline compensation strategy allows a considerable reduction of dimension and form deviations.
引用
收藏
页码:1075 / 1083
页数:9
相关论文
共 30 条
  • [1] Modeling and identification of an industrial robot for machining applications
    Abele, E.
    Weigold, M.
    Rothenbuecher, S.
    [J]. CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2007, 56 (01) : 387 - 390
  • [2] Tool path adaption based on optical measurement data for milling with industrial robots
    Abele, E.
    Schutzer, K.
    Bauer, J.
    Pischan, M.
    [J]. PRODUCTION ENGINEERING-RESEARCH AND DEVELOPMENT, 2012, 6 (4-5): : 459 - 465
  • [3] Enhanced stiffness modeling identification and characterization for robot manipulators
    Alici, G
    Shirinzadeh, B
    [J]. IEEE TRANSACTIONS ON ROBOTICS, 2005, 21 (04) : 554 - 564
  • [4] Chen SF, 2003, IEEE INT CONF ROBOT, P4042
  • [5] Robot machining: recent development and future research issues
    Chen, Yonghua
    Dong, Fenghua
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2013, 66 (9-12) : 1489 - 1497
  • [6] Corke P.I., 2011, Robotics, Vision and Control: Fundamental Algorithms in MATLAB, VVolume 73, DOI DOI 10.1007/978-3-642-20144-8
  • [7] Craig J.J., 2005, INTRO ROBOTICS MECH, V3
  • [8] A Methodology for Joint Stiffness Identification of Serial Robots
    Dumas, Claire
    Caro, Stephane
    Cherif, Mehdi
    Garnier, Sebastien
    Furet, Benoit
    [J]. IEEE/RSJ 2010 INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2010), 2010, : 464 - 469
  • [9] A study of back cutting surface finish from tool errors and machine tool deviations during face milling
    Franco, P.
    Estrems, M.
    Faura, F.
    [J]. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2008, 48 (01) : 112 - 123
  • [10] Increasing Accuracy of Industrial Robots in Machining of Carbon Fiber Reinforced Plastics
    Freising, Martin
    Kothe, Simon
    Rott, Markus
    Susemihl, Hendrik
    Hintze, Wolfgang
    [J]. NEW PRODUCTION TECHNOLOGIES IN AEROSPACE INDUSTRY, 2013, : 115 - 121