Contour error pre-compensation for three-axis machine tools by using cross-coupled dynamic friction control

被引:17
|
作者
Liu, Weirui [1 ]
Ren, Fei [2 ]
Sun, Yunwen [1 ]
Jiang, Shanglei [1 ]
机构
[1] Dalian Univ Technol, Minist Educ, Key Lab Precis & Nontradit Machining Technol, Dalian 116024, Peoples R China
[2] Shanghai Spaceflight Manufacture Grp Co Ltd, Shanghai 200000, Peoples R China
关键词
Contour error pre-compensation; Friction force predicted control; Cross-coupled control; Machining; Manufacturing control system; PRECISION; TRACKING; DESIGN; SERVO; AXIS;
D O I
10.1007/s00170-018-2189-1
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper focuses on improving the contouring performance for CNC machine tool by pre-compensated strategy. The predicted model of tracking error is established by utilizing the characteristic property of servo structure. Besides considering the frictional damping of transmission mechanism, a LuGre friction force compensated strategy is presented in the presence of both frictions and external disturbances. The contour error model based on the spatial relationship between the tracking error and contour error reduces the complex conventional iterative calculation and presents more flexibility. In order to acquire higher contouring accuracy, an adaptive cross-coupled pre-compensation controller is proposed to regulate the compensated values. Its central structure consists of a Fuzzy PID controller, and a modified particle swarm optimization is used to optimize the bottom parameters of membership functions. Compared with traditional cross-coupled control method, this new strategy has higher control accuracy and better robustness and universality. To validate the effectiveness, the proposed method is verified by several experiments, and the results show that the proposed method remarkably improves tracking performance and reduces contour error.
引用
收藏
页码:551 / 563
页数:13
相关论文
共 50 条
  • [21] Adaptive Compensation of Spatial Contour Error based on Neural Networks in Three-axis Machining
    Peng, F. Y.
    Sun, K. S.
    Zhou, Y.
    Li, B.
    MANUFACTURING AUTOMATION TECHNOLOGY, 2009, 392-394 : 7 - 12
  • [22] Accuracy enhancement of kinematic error model of three-axis computer numerical control machine tools
    Pezeshki, Mostafa
    Arezoo, Behrooz
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2017, 231 (11) : 2021 - 2030
  • [23] Combined Predictive and Feedback Contour Error Control With Dynamic Contour Error Estimation for Industrial Five-Axis Machine Tools
    Liu, Yang
    Wan, Min
    Xiao, Qun-Bao
    Qin, Xue-Bin
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 69 (07) : 6668 - 6677
  • [24] Real-time error compensation of a three-axis machine tool using a laser tracker
    Wang, Zheng
    Maropolous, Paul G.
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2013, 69 (1-4): : 919 - 933
  • [25] Real-time error compensation of a three-axis machine tool using a laser tracker
    Wang, Z. (zw215@bath.ac.uk), 1600, Springer London (69): : 1 - 4
  • [26] Global toolpath modulation–based contour error pre-compensation for multi-axis CNC machining
    Yang Liu
    Mansen Chen
    Yuwen Sun
    The International Journal of Advanced Manufacturing Technology, 2023, 125 : 3171 - 3189
  • [27] Real-time error compensation of a three-axis machine tool using a laser tracker
    Zheng Wang
    Paul G. Maropolous
    The International Journal of Advanced Manufacturing Technology, 2013, 69 : 919 - 933
  • [28] Cross-coupled fuzzy logic control for multiaxis machine tools
    Yeh, ZM
    Tarng, YS
    Lin, YS
    MECHATRONICS, 1997, 7 (08) : 663 - +
  • [29] A new approach to geometric error modeling and compensation for a three-axis machine tool
    Baohai Wu
    Yanjun Yin
    Ying Zhang
    Ming Luo
    The International Journal of Advanced Manufacturing Technology, 2019, 102 : 1249 - 1256
  • [30] Three-dimensional iterative contour error estimation based on an orthogonal cross-coupled control approach
    Ke, Runji
    Wang, Taiyong
    Dong, Jingchuan
    JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2024, : 5569 - 5580