Kinematic Calibration and Forecast Error Compensation of a 2-DOF Planar Parallel Manipulator

被引:7
|
作者
Chang Peng [1 ]
Li Chengrong [1 ]
Li Tiemin [2 ]
机构
[1] Chinese Acad Sci, Hitech Innovat Ctr, Inst Automat, Beijing 100190, Peoples R China
[2] Tsinghua Univ, Dept Precis Instruments & Mechanol, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
parallel manipulator; kinematic calibration; error compensation; minimal linear combinations (MLCs); MACHINE-TOOL;
D O I
10.3901/CJME.2011.06.992
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Due to large workspace, heavy-duty and over-constrained mechanism, a small deformation is caused and the precision of the 2-DOF planar parallel manipulator is affected. The kinematic calibration cannot compensate the end-effector errors caused by the small deformation. This paper presents a method combined step kinematic calibration and linear forecast real-time error compensation in order to enhance the precision of a two degree-of-freedom (DOF) planar parallel manipulator of a hybrid machine tool. In the step kinematic calibration phase of the method, the end-effector errors caused by the errors of major constant geometrical parameters is compensated. The step kinematic calibration is based on the minimal linear combinations (MLCs) of the error parameters. All simple and feasible measurements in practice are given, and identification analysis of the set of the MLCs for each measurement is carried out. According to identification analysis results, both measurement costs and observability are considered, and a step calibration including step measurement, step identification and step error compensation is determined. The linear forecast real-time error compensation is used to compensate the end-effector errors caused by other parameters after the step kinematic calibration. Taking the advantages of the step kinematic calibration and the linear forecast real-time error compensation, a method for improving the precision of the 2-DOF planar parallel manipulator is developed. Experiment results show that the proposed method is robust and effective, so that the position errors are kept to the same order of the measurement noise. The presented method is attractive for the 2-DOF planar parallel manipulator and can be also applied to other parallel manipulators with fewer than six DOFs.
引用
收藏
页码:992 / 998
页数:7
相关论文
共 13 条
  • [1] Calibration of parallel kinematic machine tools using mobility constraint on the tool center point
    Abtahi, M.
    Pendar, H.
    Alasty, A.
    Vossoughi, Gh. R.
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2009, 45 (5-6): : 531 - 539
  • [2] Besnard S, 1999, ICRA '99: IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-4, PROCEEDINGS, P1758, DOI 10.1109/ROBOT.1999.770363
  • [3] DETERMINATION OF OPTIMAL MEASUREMENT CONFIGURATIONS FOR ROBOT CALIBRATION BASED ON OBSERVABILITY MEASURE
    BORM, JH
    MENQ, CH
    [J]. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 1991, 10 (01): : 51 - 63
  • [4] CHANG P, 2006, P 5 CHEM PAR KIN SEM, P565
  • [5] Self-calibration of a general hexapod manipulator using cylinder constraints
    Chiu, YJ
    Perng, MH
    [J]. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2003, 43 (10): : 1051 - 1066
  • [6] DAVID D, 2001, P 2001 IEEE INT C RO, P3262
  • [7] GROMANN K, 2008, PRODUCTION ENG, V2, P317
  • [8] Kinematic calibration of a class of parallel kinematic machines(PKM) with fewer than six degrees of freedom
    Huang, T
    Tang, GB
    Li, SW
    Li, Y
    Chetwynd, GD
    Whitehouse, JD
    [J]. SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES, 2003, 46 (05): : 515 - 526
  • [9] A general and novel approach for parameter identification of 6-DOF parallel kinematic machines
    Huang, TA
    Chetwynd, DG
    Whitehouse, DJ
    Wang, JS
    [J]. MECHANISM AND MACHINE THEORY, 2005, 40 (02) : 219 - 239
  • [10] Meggiolaro M. A., 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065), P3609, DOI 10.1109/ROBOT.2000.845294