• DocumentCode
    316877
  • Title

    Automatic learning control-based gain parameter auto-tuning scheme for AC servo system

  • Author

    Inoue, Kenji ; Yoshitsugu, Junji ; Shirogane, Shin ; Boyagoda, Prasanna ; Nakaoka, Mutsuo

  • Author_Institution
    Shinko Electr. Co. Ltd., Mie, Japan
  • Volume
    2
  • fYear
    1997
  • fDate
    5-9 Oct 1997
  • Firstpage
    836
  • Abstract
    In this paper, an advanced control method of system parameter auto-tuning implementation for AC servo system using fuzzy reasoning logic with automatic learning control function is described. This control method includes three features: (i) it is not necessary to input some kinds of fuzzy rules to the AC servo system before starting auto-tuning operation; thus, the fuzzy rules can be automatically produced in the learning process; (ii) any knowledge and information about system parameter tuning technique are not required; and (iii) both high speed response and robustness can be obtained. The feasible effectiveness of this auto-tuning processing approach for AC servo system are practically confirmed through experimental results
  • Keywords
    AC motor drives; fuzzy control; learning systems; machine control; self-adjusting systems; servomotors; AC servo system; advanced control method; auto-tuning operation; automatic learning control; fuzzy reasoning logic; fuzzy rules; gain parameter auto-tuning scheme; high speed response; robustness; servo drives; system parameter auto-tuning; Automatic control; Control systems; Fuzzy control; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Laboratories; Parameter estimation; Production facilities; Servomechanisms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industry Applications Conference, 1997. Thirty-Second IAS Annual Meeting, IAS '97., Conference Record of the 1997 IEEE
  • Conference_Location
    New Orleans, LA
  • ISSN
    0197-2618
  • Print_ISBN
    0-7803-4067-1
  • Type

    conf

  • DOI
    10.1109/IAS.1997.628959
  • Filename
    628959