Parameters Identification of Induction Motor for Electric Vehicle Based on Least Squares Method
This paper deals with on-line parameter identification of induction motors (IM) by means of least square techniques .Using stator voltages, stator currents and velocity as input-output data. For analytical identification by recursive least square (RLS) algorithms, filtering of experimental data is performed by means of anticausal filters. The simulation results show that error of the parameter estimation of the rotor resistance, self inductance of the rotor winding, as well as the stator leakage inductance are less than 5% .It demonstrate the practical use of the identification method.
J. L. Zhang and C. S. Zhang, "Parameters Identification of Induction Motor for Electric Vehicle Based on Least Squares Method", Advanced Materials Research, Vols. 383-390, pp. 648-653, 2012