Kinematic modeling and parameter identification of a new circumferential drilling machine for aircraft assembly

被引:37
|
作者
Zhu, Weidong [1 ]
Mei, Biao [1 ]
Ke, Yinglin [1 ]
机构
[1] Zhejiang Univ, Dept Mech Engn, Hangzhou 310027, Zhejiang, Peoples R China
基金
中国国家自然科学基金;
关键词
Circumferential drilling machine; Accuracy; Kinematic calibration; Kinematic modeling; Parameter identification; Repeatability; CALIBRATION; COMPENSATION; ACCURACY;
D O I
10.1007/s00170-014-5786-7
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Automated fastener hole drilling is a key technology for low-cost and high-quality assembly of aircrafts. In this paper, a new circumferential drilling machine for fuselage assembly of large aircrafts is introduced. In order to meet the required position accuracy of drilled holes, this paper focuses on the kinematic calibration of the machine in order to improve its positioning accuracy. A modeling strategy, which combines the Denavit-Hartenberg (D-H) method and a modified version of the Hayati-Mirmirani (H-M) method, is proposed to deal with the special kinematic structure of the arc-base drilling unit of the machine. Main issues in kinematic parameter identification such as definition of objective function, calibration data selection, acquisition of initial values, and setting of convergence criteria are also discussed. Experiments of repeatability testing and kinematic calibration have been performed, and the results show that the positioning accuracy of the arc-base drilling unit is comparable to its repeatability after calibration. This suggests that the proposed kinematic calibration method is effective. Actual drilling tests have been performed on a simulated aircraft fuselage after implementing the identified kinematic model in the machine's control software. Position errors of drilled holes are within +/- 0.5 mm, which meets the requirement for fastener hole drilling in the fuselage assembly of large aircrafts.
引用
收藏
页码:1143 / 1158
页数:16
相关论文
共 50 条
  • [41] Response and multi-parameter determination of microresistivity scanning imaging logging while drilling in oil-based drilling fluid using numerical modeling and machine learning
    Gao, Jianshen
    Wu, Shixun
    Ma, Yani
    Jiang, Liming
    Shi, Juncheng
    GEOENERGY SCIENCE AND ENGINEERING, 2025, 247
  • [42] Parameter identification of a nonlinear vertical axis rotating machine through reduced order modeling and data assimilation
    Rishmawi, Sima
    Moyne, Ludivine
    Serroud, Souheil
    Rodriguez, Sebastian
    Chinesta, Francisco
    Tuysuz, Oguzhan
    Gosselin, Frederick P.
    NONLINEAR DYNAMICS, 2025, : 14735 - 14754
  • [43] An Inverse Thermal Modeling Approach for Thermal Parameter and Loss Identification in an Axial Flux Permanent Magnet Machine
    Vansompel, Hendrik
    Yarantseva, Anna
    Sergeant, Peter
    Crevecoeur, Guillaume
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 66 (03) : 1727 - 1735
  • [44] Characterization, parameter identification and modeling of a new monolithic emitter-switching bipolar transistor
    Musumeci, S
    Pagano, R
    Raciti, A
    Porto, C
    Ronsisvalle, C
    Scollo, R
    CONFERENCE RECORD OF THE 2004 IEEE INDUSTRY APPLICATIONS CONFERENCE, VOLS 1-4: COVERING THEORY TO PRACTICE, 2004, : 1924 - 1931
  • [45] Fractional-Order Modeling and Parameter Identification for Ultracapacitors with a New Hybrid SOA Method
    Guo, Jianhua
    Liu, Weilun
    Chu, Liang
    Zhao, Jingyuan
    ENERGIES, 2019, 12 (22)
  • [46] Characterization, parameter identification, and modeling of a new monolithic emitter-switching bipolar transistor
    Pagano, R
    IEEE TRANSACTIONS ON ELECTRON DEVICES, 2006, 53 (05) : 1235 - 1244
  • [47] A new machine-learning based method for parameter imaging and kinetic modeling of PET data
    Pan, L.
    Mikolajczyk, K.
    Strauss, L.
    Haberkorn, U.
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2007, 34 : S348 - S348
  • [48] Spatial error modeling and parameter identification technology of heavy gantry-type automated fiber placement machine
    Zheng C.
    Yu J.
    Zhang L.
    Wu J.
    Cheng L.
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2022, 28 (03): : 709 - 723
  • [49] Modeling and Parameter Identification of the Vibration Characteristics of Armature Assembly in a Torque Motor of Hydraulic Servo Valves under Electromagnetic Excitations
    Peng, Jinghui
    Li, Songjing
    Fan, Yongbo
    ADVANCES IN MECHANICAL ENGINEERING, 2014,
  • [50] A new quaternion based kinematic model for the operation and the identification of an articulated arm coordinate measuring machine inspired by the geodetic methodology
    Benciolini, Battista
    Vitti, Alfonso
    MECHANISM AND MACHINE THEORY, 2017, 112 : 192 - 204