Repository logo

An alternative approach to estimate load torque in industrial environment using neural networks

Loading...
Thumbnail Image

Advisor

Coadvisor

Graduate program

Undergraduate course

Journal Title

Journal ISSN

Volume Title

Publisher

Ieee

Type

Work presented at event

Access right

Abstract

The 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 this paper is to use artificial neural networks as a tool for estimating the load torque applied to the induction motor shaft rather than conventional methods, which use classical identification techniques and mechanical load modeling. Simulation results are also presented to validate the proposed approach.

Description

Keywords

Language

English

Citation

2006 1st Ieee Conference On Industrial Electronics And Applications, Vols 1-3. New York: Ieee, p. 1388-+, 2006.

Related itens

Units

Item type:Unit,
Instituto de Ciência e Tecnologia
ICT
Campus: Sorocaba


Undergraduate courses

Graduate programs

Other forms of access