Title :
Online identification of parameters defining the saturation characteristics of induction machines
Author :
Ranta, Mikaela ; Hinkkanen, Marko
Author_Institution :
Sch. of Electr. Eng., Aalto Univ., Aalto, Finland
Abstract :
The induction machine model parameters need to be estimated with good accuracy to ensure a good performance of the drive. Due to the magnetic saturation, the inductances vary as a function of the flux level. The magnetizing curve can be identified at standstill, but more accurate results are obtained if the identification is performed as the machine is running. In this paper, the magnetic saturation is modelled using a power function, and adaptation laws for the function parameters are proposed. The adaptation method is implemented in the control system of a sensorless drive. Experimental results on a 2.2-kW machine show that the identification of the stator inductance is rapid and the accuracy is good.
Keywords :
asynchronous machines; electric drives; sensorless machine control; adaptation laws; drive performance; flux level function; induction machine model parameters; magnetic saturation; magnetizing curve; parameter online identification; power 2.2 kW; power function; saturation characteristics; sensorless drive control system; stator inductance identification; Adaptation models; Inductance; Induction machines; Mathematical model; Rotors; Saturation magnetization; Stators; Induction motor; magnetic saturation; parameter estimation; sensorless control;
Conference_Titel :
Electrical Machines (ICEM), 2012 XXth International Conference on
Conference_Location :
Marseille
Print_ISBN :
978-1-4673-0143-5
Electronic_ISBN :
978-1-4673-0141-1
DOI :
10.1109/ICElMach.2012.6350002