• DocumentCode
    1937002
  • Title

    DC biased stimulation method for induction motor parameters identification at standstill without inverter nonlinearity compensation

  • Author

    Guangtong Shen ; Kai Wang ; Wenxi Yao ; Kevin Lee ; Zhengyu Lu

  • Author_Institution
    Dept. of Electr. Eng., Zhejiang Univ., Hangzhou, China
  • fYear
    2013
  • fDate
    15-19 Sept. 2013
  • Firstpage
    5123
  • Lastpage
    5130
  • Abstract
    A general stimulation method is proposed to identify induction motor (IM) parameters based on inverter at standstill without the need of inverter nonlinearity compensation. Inverter non-linear characteristics are one of the major sources of parameters identification inaccuracies because the voltage error caused by inverter nonlinearity is difficult to compensate for accurately. To overcome the influence of inverter nonlinearity, a dc current bias is added to single phase ac stimulation, which is a common stimulation style of many identification techniques. To prove the effectiveness and universality of the method, it is applied to two kinds of practical offline parameter identification techniques in literatures. One is the recursive least-squares (RLS) technique and the other is impedance equations set technique. Identification results in both simulations and experiments are given to validate the method.
  • Keywords
    induction motors; invertors; least squares approximations; parameter estimation; DC biased stimulation method; impedance equations set technique; induction motor parameters identification; inverter nonlinearity; recursive least-squares technique; single phase ac stimulation; Induction motors; Insulated gate bipolar transistors; Inverters; Mathematical model; Rotors; Stators; Voltage measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conversion Congress and Exposition (ECCE), 2013 IEEE
  • Conference_Location
    Denver, CO
  • Type

    conf

  • DOI
    10.1109/ECCE.2013.6647393
  • Filename
    6647393