• DocumentCode
    460767
  • Title

    Study of the Direct Drive Feed System with Fuzzy Reasoning Self-adjusting Control

  • Author

    Xiao, Shuhong ; Zha, Changli

  • Author_Institution
    Fac. of Mech. & Electron. Eng., Guangdong Univ. of Technol.
  • Volume
    1
  • fYear
    2006
  • fDate
    Nov. 2006
  • Firstpage
    117
  • Lastpage
    120
  • Abstract
    High speed cutting has been used in manufacturing industry more and more extensively. For a high-speed cutting CNC machine tool, the high velocity feed system is a must. The direct drive feed system by linear motors is an ideal solution to realize the high-speed feed. But in this system, the cutting force and load mass of the moving parts are directly imposed on the system and are direct disturbance. The variation of the moving mass and cutting force may affect the control system to be unstable and to reduce the system´s positioning accuracy. In this paper, a new control method with off-line fuzzy reasoning and on-line self-adjusting is introduced into this system to improve the dynamic performance of the system. Firstly, a fuzzy controller is designed to self-adjust the direct drive system´s control parameter. Based on the real time requirements of the system, the fuzzy controller is realized by an off-line enquiry table. Secondly, the calculation process of the off-line enquiry table is described in detail. Thirdly, the simulation analysis with MATLAB on a practical system with this fuzzy controller is realized. The simulation results show this method can improve the stability and dynamic performance of direct drive feed system distinctly
  • Keywords
    computerised numerical control; control engineering computing; cutting; fuzzy control; fuzzy reasoning; linear motors; self-adjusting systems; stability; MATLAB; direct drive feed system; fuzzy controller; high-speed cutting CNC machine tool; linear motor; manufacturing industry; offline enquiry table; offline fuzzy reasoning; online self-adjusting; self-adjusting control; stability; Computer numerical control; Control systems; Feeds; Force control; Fuzzy control; Fuzzy reasoning; Fuzzy systems; Machine tools; Manufacturing industries; Weight control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security, 2006 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    1-4244-0605-6
  • Electronic_ISBN
    1-4244-0605-6
  • Type

    conf

  • DOI
    10.1109/ICCIAS.2006.294102
  • Filename
    4072055