• DocumentCode
    2483878
  • Title

    Adaptive s-curve acceleration/deceleration control method

  • Author

    Zheng, Kuijing ; Cheng, Li

  • Author_Institution
    Robot. Res. Center, Yanshan Univ., Qinhuangdao
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    2752
  • Lastpage
    2756
  • Abstract
    In high-speed machining process, in order to improve the machining accuracy, the velocity should be optimized flexibly in advance. The s-curve acceleration and deceleration control mode was more used in velocity control than others. Based on the essential principle of the s-curve acceleration and deceleration control mode, the pre-interpolation acceleration and deceleration control was adopted to work out the relevant motional parameters of different program blocks. Using the look-ahead method, the adaptive acceleration and deceleration was introduced to evaluate the data far in advance and adjust the feed rate. The adaptive velocity control method is simulated and the result shows that the velocity curve is smoother and the machining time is shorter than traditional method. The velocity control of NC machining is solved effectively and the machining accuracy and productivity will be improved greatly.
  • Keywords
    acceleration control; adaptive control; computerised numerical control; curve fitting; interpolation; machine tools; machining; velocity control; CNC system; adaptive s-curve acceleration control; adaptive s-curve deceleration control; high-speed machining process; look-ahead method; motional parameter; pre-interpolation; productivity; velocity control; Acceleration; Adaptive control; Computer numerical control; Intelligent control; Machining; Motion control; Programmable control; Robot kinematics; Robotics and automation; Velocity control; Computerized Numerical Control system; S-curve acceleration/deceleration; adaptive control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4593360
  • Filename
    4593360