Neural Network Based Input Output Feedback Control of Induction Motor

被引：0

作者：

Kabache, Nadir ^{[1
]}

Moulahoum, Samir ^{[1
]}

Sebaa, Karim ^{[1
]}

Houassine, Hamza ^{[1
]}

机构：

[1] Univ Medea, Res Lab Elect Engn & Automat, Medea, Algeria

来源：

PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON OPTIMIZATION OF ELECTRICAL AND ELECTRONIC EQUIPMENT, VOLS 1-5 | 2012年

关键词：

Induction Motor; neural networks; adaptive control; input-output feedback control; parameter estimation; ROTOR RESISTANCE; MACHINES;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：578 / 583

页数：6

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