• DocumentCode
    441724
  • Title

    Maximum-entropy based adaptive control of machining process

  • Author

    Zhou, Jian-Hui ; Yao, Xiao-Qun ; Li, Wei-Guang ; Yao, Xi-Fan

  • Author_Institution
    Coll. of Mech. Eng., South China Univ. of Technol., Guangzhou, China
  • Volume
    2
  • fYear
    2005
  • fDate
    18-21 Aug. 2005
  • Firstpage
    1230
  • Abstract
    With the aim of validating the feasibility of applying a maximum-entropy-based adaptive control program to the constant force control of a machining process, the maximum-entropy criterion is first introduced. The control flow of the machining process and the mathematic model of the machine tool for experiment are then explained. Finally, both simulation and experiment results are studied to compare the proposed controller and the conventional PID controller. It thus indicates that maximum-entropy based controller is appropriate for the machining process.
  • Keywords
    adaptive control; machine tools; machining; maximum entropy methods; three-term control; adaptive control; constant force control; conventional PID controller; machine tool; machining process; maximum-entropy method; Adaptive control; Control theory; Entropy; Equations; Force control; Force feedback; Fuzzy control; Machining; Neural networks; Performance analysis; Intelligent; Machining Process; Maximum-Entropy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
  • Conference_Location
    Guangzhou, China
  • Print_ISBN
    0-7803-9091-1
  • Type

    conf

  • DOI
    10.1109/ICMLC.2005.1527131
  • Filename
    1527131