DocumentCode
1683939
Title
Load torque estimation in induction motors using artificial neural networks
Author
Goedtel, Alessandro ; Silva, Ivan Nunes da ; Amaral Serni, Paulo Jose ; Avolio, Edwin
Author_Institution
UNESP, Bauru, Brazil
Volume
2
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
1379
Lastpage
1384
Abstract
Induction motors are largely used in several industry sectors. The dimensioning of an induction motor has still been inaccurate because in most of the cases the load behavior in its shaft is completely unknown. The proposal of the paper is to use artificial neural networks as tools for dimensioning of induction motors rather than conventional methods, which use classical identification techniques and mechanical load modeling. Simulation results are also presented to validate the proposed approach
Keywords
induction motors; multilayer perceptrons; parameter estimation; artificial neural networks; dimensioning; induction motors; load behavior; load torque estimation; shaft; Artificial neural networks; Induction motors; Intelligent networks; Iron; Mathematical model; Proposals; Rotors; Shafts; Steady-state; Torque;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location
Honolulu, HI
ISSN
1098-7576
Print_ISBN
0-7803-7278-6
Type
conf
DOI
10.1109/IJCNN.2002.1007717
Filename
1007717
Link To Document