Title :
Parameter Estimation Method for Induction Machines Using the Instantaneous Impedance During a Dynamic Start-Up
Author :
Rengifo, Johnny ; Aller, J.M. ; Bueno, A. ; Viola, Julio ; Restrepo, Jose
Author_Institution :
Dipt. Conversion y Transporte de Energia, Univ. Simon Bolivar, Caracas, Venezuela
Abstract :
In this work a parameter estimation method of the induction machine model based on the instantaneous impedance is presented. The proposed method is based on instantaneous voltage and current measurements during start-up of the induction motor at rated voltage. The proposed parameter estimation method uses an space vector description of the transient machine equations, referred to the stator frame of reference, during the dynamic conditions presents at start-up. The method adjusts the dynamic model parameters using an error function obtained by comparing the instantaneous impedance obtained from the space vector representation of the machine and the corresponding obtained from the measured variables at start-up. The method gives a very precise off-line parameter estimation. The solution is obtained using a non-linear regression method that can be used to improve the control behavior in several predictive DTC strategies.
Keywords :
electric current measurement; induction motors; machine control; parameter estimation; predictive control; regression analysis; stators; torque control; voltage measurement; direct torque control; dynamic model parameters; dynamic start-up; induction machine model; induction machines; induction motor; instantaneous current measurement; instantaneous impedance; instantaneous voltage measurement; nonlinear regression; off-line parameter estimation; predictive DTC; space vector representation; stator frame; transient machine equations; Impedance; Induction motors; Parameter estimation; Rotors; Stators; Torque; Induction motor; instantaneous impedance; parameters estimation;
Conference_Titel :
Andean Region International Conference (ANDESCON), 2012 VI
Conference_Location :
Cuenca
Print_ISBN :
978-1-4673-4427-2
DOI :
10.1109/Andescon.2012.13