• DocumentCode
    2275750
  • Title

    Research of efficiency optimization control of induction motors based EMD-EKF

  • Author

    Peng, Chen ; Lian, Li ; Enzeng, Dong ; Xin, Li

  • Author_Institution
    Sch. of Electr. & Autom. of Organ., Tianjin Univ. of Technol., Tianjin, China
  • Volume
    2
  • fYear
    2011
  • fDate
    10-12 June 2011
  • Firstpage
    90
  • Lastpage
    94
  • Abstract
    Optimization of induction motor efficiency was social and economic significance. In this paper, the problems of traditional efficiency optimization methods were discussed first, the main problem of these methods was that efficiency optimization could not realize for the appropriate flux couldn´t be gotten under complex work conditions, that induction motor parameters were variable and non-linear under variable conditions. Second, the characteristics and calculation method of EMD-EKF (Empirical Mode Decomposition-Extended Kalman Filter) were analyzed. EKF with EMD method had both of their respective advantages, which could improve the accuracy of estimates. With optimization method to minimize loss of efficiency, a new efficiency optimization control method based EMD-EKF was given, and the simulation results proved that the method was effective.
  • Keywords
    Kalman filters; control engineering computing; induction motors; optimisation; EMD-EKF; appropriate flux; calculation method; efficiency optimization control method; empirical mode decomposition-extended Kalman filter; induction motors; nonlinear under variable conditions; Equations; Induction motors; Mathematical model; Noise; Optimization; Resistance; Rotors; Empirical Mode Decomposition; Extended Kalman Filter; efficiency optimization; induction motor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-8727-1
  • Type

    conf

  • DOI
    10.1109/CSAE.2011.5952431
  • Filename
    5952431