Title :
A comparative study for single and multilayer neural networks applied to speed estimation in induction motors
Author :
Goedtel, A. ; Graciola, C. ; Silva, S.A.O. ; Nascimento, C.F. ; Suetake, M.
Author_Institution :
Fed. Technol. Univ. of Parana, Medianeira, Brazil
Abstract :
Many electronic drivers for the induction motor control are based on sensorless technologies. Load monitoring and failure prediction are also based in this methodology. The proposal of this work is to present a comparative study between single and multilayer neural networks used as an alternative approach of speed estimation, from transient to steady state. Simulation results are presented to validate the proposed approach.
Keywords :
drives; induction motors; machine control; neural nets; electronic drivers; failure prediction; induction motor control; load monitoring; multilayer neural networks; sensorless technologies; speed estimation; steady state; transient state; Artificial neural networks; Equations; Induction motors; Mathematical model; Rotors; Stator windings; Induction Motors; Neural Networks; Speed Estimation;
Conference_Titel :
Electrical Machines (ICEM), 2010 XIX International Conference on
Conference_Location :
Rome
Print_ISBN :
978-1-4244-4174-7
Electronic_ISBN :
978-1-4244-4175-4
DOI :
10.1109/ICELMACH.2010.5607949
