Parameters Identification of the Three-Phase Squirrel-Cage Induction Motor

Abstract

The three phase squirrel-cage induction machine is the most used motor in industry applications (around 80% of motors), due to its simplicity, reliability, free maintenance costs. The parameters of the three-phase induction machine varies with temperature and magnetizing flux. The control of the electrical drives is definitively dependent by motor parameters. Therefore, the performances of the electric drives are directly related to the motor parameters values. The authors of the paper propose a method in order to identify the parameters of the three phase squirrel-cage induction motor. The control methods of the induction motors are divided in scalar and vector controls. The best performances of the induction motor are obtained with the vector control. The authors use the mathematical model of the three phase squirrel-cage induction motor in the mobile rotor magnetizing flux reference frame, related to the vector control strategy. Despite of the most used identification methods, the proposed method uses the dynamical model of the induction motor. The experimental data is used in order to compare the obtained parameters from the adopted mathematical model, and the error is minimized through the proposed identification method. In order to validate the efficiency of the proposed identification method, the Matlab based simulation results are presented. The advantages of the proposed method consists of the high performances, robust and inexpensive costs.

Keywords

• squirrel-cage induction motor; identification; parameters; least mean squares; Matlab

References

1. Horia Leonard Andrei
2. Sami Sazak