Neural network based input output feedback control of induction motor

Author

Kabache, Nadir ; Moulahoum, Samir ; Sebaa, Karim ; Houassine, Hamza

Author_Institution

Res. Lab. on Electr. Eng. & Autom., Univ. of Medea, Medea, Algeria

fYear

2012

fDate

24-26 May 2012

Firstpage

578

Lastpage

583

Abstract

The present paper gives a new neural network based adaptive control for the induction motor using input-output feedback linearization control. A simple multilayer neural network is used for the estimation of rotor and stator time constant inverses as well as the load torque. The suggested estimator is a model reference adaptive control based which uses the measured and estimated motor states such as the currents and the speed to generate an online learning algorithm for the neural network parameters.

Keywords

induction motors; machine control; model reference adaptive control systems; multilayer perceptrons; neurocontrollers; recurrent neural nets; induction motor; input-output feedback linearization control; load torque; model reference adaptive control; multilayer neural network; neural network control; neural network parameters; online learning algorithm; rotor estimation; stator time constant; Adaptive systems; Current measurement; Induction motors; Neural networks; Rotors; Stators; Torque; Induction Motor; adaptive control; input-output feedback control; neural networks; parameter estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Optimization of Electrical and Electronic Equipment (OPTIM), 2012 13th International Conference on

Conference_Location

Brasov

ISSN

1842-0133

Print_ISBN

978-1-4673-1650-7

Electronic_ISBN

1842-0133

Type

conf

DOI

10.1109/OPTIM.2012.6231944

Filename

6231944