• DocumentCode
    3184569
  • Title

    Neuro-Fuzzy Versus Hysteresis Current Controller for a Vector Control Based Electrical Drive System

  • Author

    Mihai, D. ; Mihai, R.

  • Author_Institution
    Univ. of Craiova, Craiova
  • fYear
    2007
  • fDate
    June 29 2007-July 2 2007
  • Firstpage
    241
  • Lastpage
    246
  • Abstract
    The hysteresis current controllers of a vector control based structure for an induction motor are replaced by fuzzy logic controllers, synthesized by ANFIS method. The paper makes consideration on the tuning of such a controller and proves the unexpected ability of the neuro-fuzzy controller to operate in a commutation mode. Various operating conditions are considered, the results being analyzed comparatively with the standard vector control system. The influence of the parameters, load torque, sampling period and operating conditions are taking into account performing various simulations on model. The main goal is to reduce the torque ripple and the sensitivity of the system to the parameters variation.
  • Keywords
    electric current control; fuzzy control; fuzzy neural nets; induction motor drives; machine vector control; neurocontrollers; torque; ANFIS method; electrical drive system; fuzzy logic controllers; hysteresis current controller; induction motor; load torque; neurofuzzy controller; torque ripple reduction; vector control; Control system synthesis; Control systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Hysteresis; Induction motors; Machine vector control; Torque; Virtual colonoscopy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Engineering Systems, 2007. INES 2007. 11th International Conference on
  • Conference_Location
    Budapest
  • Print_ISBN
    1-4244-1147-5
  • Electronic_ISBN
    1-4244-1148-3
  • Type

    conf

  • DOI
    10.1109/INES.2007.4283705
  • Filename
    4283705