Title :
On-line estimation of rotor resistance of an induction motor using recurrent neural networks
Author :
Mayaleh, S. ; Bayindir, N.S.
Author_Institution :
Dept. of Electr. Eng., Eastern Mediterranean Univ., Mersin, Turkey
fDate :
4/16/1998 12:00:00 AM
Abstract :
The authors have developed a new approach which provides an on-line estimation of the rotor resistance of an induction motor operating under vector control. Simulation results show that the new approach is capable of fast estimation of the rotor resistance with a negligible error
Keywords :
induction motors; machine control; machine theory; parameter estimation; recurrent neural nets; rotors; slip (asynchronous machines); torque control; velocity control; fast estimation; induction motor; linear-decoupled separately excited DC motor; negligible error; on-line estimation; parameter identifier; position control; recurrent neural networks; rotor current model; rotor resistance; self-inductance; slip speed; speed control; squirrel cage motor; torque control; vector control;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19980578
