Off-Line Parameter Estimation of Induction Motor Based on a Multitime Scale Approach

نویسندگان

  • ALEXANDRU ONEA
  • VASILE HORGA
  • MIRCEA DIACONESCU
  • CORNELIU BOŢAN
چکیده

The paper presents a method for parameters estimation of squirrel cage induction motor. The statespace model of the system can be decomposed in two quasi-decoupled systems because the dynamic of electrical system and the one of the magnetizing system are different. It is used a multitime scale decomposition to obtain reduced operational reactances. In the experiments the induction machine is at standstill and supplied by a pseudorandom binary sequences voltage. This method allows an increase of the parameters accuracy obtained through estimation. The physical parameters of the equivalent system of the phase equivalent circuit of induction machine are determined based on the information from the identification experiments specific to each model. Key-Words: identification, induction machine, parameter estimation, multime scale system, reduced order model, excitation signal.

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تاریخ انتشار 2002