Paper Info
Title
Intelligent System Based Speed Estimation of Induction Motors for Industrial Sensorless Schemes
Abstract
The use of sensorless technologies is an increasing tendency on industrial drivers for electrical machines. The estimation of electrical and mechanical parameters involved with the electrical machine control is used very frequently in order to avoid measurement of all variables involved in this process. The cost reduction may also be considered in industrial drivers, besides the increasing robustness of the system, as an advantage of the use of sensorless technologies. This work proposes the use of artificial neural networks to estimate one of the most important variables in the induction motor control schemes: the speed. Simulation results are presented to validate the induction motor control proposed approach.
Year
DOI
Venue
2007
10.1109/CCA.2007.4389382
Singapore
Keywords
Field
DocType
cost reduction,induction motor drives,machine control,neurocontrollers,velocity control,artificial neural networks,cost reduction,electrical machine control,electrical machines,induction motor control scheme,industrial drivers,industrial sensorless schemes,intelligent system,speed estimation
Induction motor,Computer science,Control theory,Control engineering,Robustness (computer science),Induction motor control,Artificial neural network,Cost reduction,Machine control
Conference
ISSN
ISBN
Citations 
1085-1992
978-1-4244-0443-8
0
PageRank 
References 
Authors
0.34
2
3
Name
Order
Citations
PageRank
Alessandro Goedtel1278.62
Ivan Nunes da Silva200.34
Paulo José Amaral Serni361.52