Title :
On-line estimation of rotor-time constant of an induction motor using recurrent neural networks
Author :
Mayaleh, Samer ; Bayindir, N. Suha
Author_Institution :
Eastern Mediterranean Univ., Turkey
Abstract :
In this paper an on-line estimation of the rotor-time constant of induction motor using recurrent neural networks is presented. Simulation results results show that the new approach is capable of fast and accurate on-line estimation of the rotor-time constant
Keywords :
electric machine analysis computing; induction motors; parameter estimation; recurrent neural nets; rotors; induction motor; on-line estimation; recurrent neural networks; rotor-time constant estimation; Convergence; Induction machines; Induction motors; Least squares approximation; Machine vector control; Recurrent neural networks; Rotors; State estimation; Stators; Thermal resistance;
Conference_Titel :
Computers in Power Electronics, 1998. 6th Workshop on
Conference_Location :
Cernobbio
Print_ISBN :
0-7803-4856-7
DOI :
10.1109/CIPE.1998.779684
