• DocumentCode
    1776490
  • Title

    The use of cluster analysis for the synthesis of optimal frequency control law for induction drive

  • Author

    Braslavsky, I.Ya. ; Kostylev, A.V. ; Tsibanov, D.V.

  • Author_Institution
    Ural Power Eng. Inst., Ural Fed. Univ., Ekaterinburg, Russia
  • fYear
    2014
  • fDate
    18-20 June 2014
  • Firstpage
    478
  • Lastpage
    482
  • Abstract
    The problem of the starting process optimization of frequency controlled induction motor is discussed. The using of the specially synthesized frequency u/f control law is proposed. The concept of synthesis of the control law on the criterion of minimum motor heating is described. The simplified synthesis of the control law based on neural clustering for motors with similar parameters is considered. Simulated and experimental results are given.
  • Keywords
    control system synthesis; frequency control; induction motor drives; machine control; neurocontrollers; optimal control; optimisation; pattern clustering; cluster analysis; induction motor drive; minimum motor heating criterion; neural network clustering; optimal frequency control law synthesis; starting process optimization problem; Frequency control; Induction motors; Optimal control; Optimization; Process control; Stators; induction motor; neural network clustering; optimization; scalar control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), 2014 International Symposium on
  • Conference_Location
    Ischia
  • Type

    conf

  • DOI
    10.1109/SPEEDAM.2014.6871947
  • Filename
    6871947