Neural network based input output feedback control of induction motor

Neural network based input output feedback control of induction motor

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...

Full description

Saved in:
Bibliographic Details
Published in:2012 13th International Conference on Optimization of Electrical and Electronic Equipment (OPTIM) pp. 578 - 583
Main Authors: Kabache, N., Moulahoum, S., Sebaa, K., Houassine, H.
Format: Conference Proceeding
Language:English
Published: IEEE 01-05-2012
Subjects:
adaptive control
Adaptive systems
Current measurement
Induction Motor
Induction motors
input-output feedback control
Neural networks
parameter estimation
Rotors
Stators
Torque
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISBN:9781467316507
1467316504
ISSN:1842-0133
DOI:10.1109/OPTIM.2012.6231944