• DocumentCode
    326800
  • Title

    Sensorless speed estimation of induction motor based on the secondary and primary resistance on-line identification without any additional signal injection

  • Author

    Akatsu, Kan ; Kawamura, Atsuo

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Yokohama Nat. Univ., Japan
  • Volume
    2
  • fYear
    1998
  • fDate
    17-22 May 1998
  • Firstpage
    1575
  • Abstract
    In the low speed region, it is difficult to estimate the rotor speed of the induction motor, because the machine parameter (especially R2) has a strong influence on the speed estimation. It is known that the simultaneous estimation of the speed and R2 is impossible. In this paper the R2 estimation in the transient state without adding any additional signal to the stator current is proposed, and the R1 is estimated from the instantaneous reactive power. These algorithms are verified by digital simulations and experiments
  • Keywords
    digital simulation; electric machine analysis computing; electric resistance; induction motors; least mean squares methods; parameter estimation; reactive power; rotors; stators; digital simulation; induction motor; instantaneous reactive power; least mean square algorithms; primary resistance on-line identification; rotor speed estimation; secondary resistance on-line identification; sensorless speed estimation; signal injection; stator current; transient state; Angular velocity; Electric resistance; Electrical resistance measurement; Frequency estimation; Induction motors; Rotors; Signal processing; State estimation; Stators; Velocity measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics Specialists Conference, 1998. PESC 98 Record. 29th Annual IEEE
  • Conference_Location
    Fukuoka
  • ISSN
    0275-9306
  • Print_ISBN
    0-7803-4489-8
  • Type

    conf

  • DOI
    10.1109/PESC.1998.703388
  • Filename
    703388