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Offline Measurement of Induction Motor Rotor Time Constant Based on Least Squares Algorithm

EasyChair Preprint no. 4525

10 pagesDate: November 7, 2020

Abstract

In the indirect rotor flux orientation scheme of induction motor, the control system based on current model has better dynamic and static characteristics, but the current model is very dependent on the rotor time constant. In order to realize the optimal control of induction motor, the off-line measurement method of rotor time constant of induction motor is presented in this paper. The off-line measurement method of rotor time constant based on recursive least squares (RLS) algorithm is analyzed in detail. Through the static characteristics of induction motor, the mathematical model of induction motor is simplified, and then the linear model of least square algorithm is derived. Through a large number of MATLAB simulation analysis, it shows that the results obtained by the recursive least squares method are more accurate than the traditional indirect offline measurement results. Finally, the error analysis of the main factors affecting the measurement results is given.

Keyphrases: error analysis, Induction motor;, least square method;, off-line measurement;, rotor time constant;

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:4525,
  author = {Cai Meidong and Zhao Yun},
  title = {Offline Measurement of Induction Motor Rotor Time Constant Based on Least Squares Algorithm},
  howpublished = {EasyChair Preprint no. 4525},

  year = {EasyChair, 2020}}
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