Sensorless Speed Estimation for Induction Motor based on Neural Network

Author

Deng, Hui ; Yang, Jing ; Xu, Dianguo

Author_Institution

Sch. of Electr. Eng. & Autom., Harbin Inst. of Technol.

Volume

1

fYear

0

fDate

0-0 0

Firstpage

2891

Lastpage

2895

Abstract

Method of sensorless speed estimation for induction motor based on neural network has been studied. With stator currents as input and the motor speed as output, a neural network has been trained by the principle of training off-line, estimating on-line. The neural network can imitate the activity of the induction motor well and estimate the motor speed on-line. The dynamic performance of the method for induction motor fed by the pure sine wave supply or inverter was focused on. And average errors were used as a measure for evaluation of the method. Experiments have been implemented and the effectiveness of the method used was validated

Keywords

induction motor drives; machine control; neurocontrollers; velocity control; induction motor; inverter; neural network; online estimation; sensorless speed estimation; sine wave supply; stator currents; Artificial neural networks; Automation; Electronic mail; Induction motors; Inverters; Maximum likelihood estimation; Multi-layer neural network; Neural networks; Recurrent neural networks; Stators; dynamic performance; inverter-fed; neural network; sensorless; speed estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1712894

Filename

1712894