A neural-network-base adaptive estimator for speed-sensorless control of induction motor

被引：0
作者：
Wang, DZ [1 ]
Gu, SS [1 ]
Wang, K [1 ]
机构：
[1] NE Univ, Shenyang 110006, Peoples R China
来源：
PROCEEDINGS OF THE 4TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-4 | 2002年
关键词：
adaptive estimator; induction motor; speed and flux estimation; sensorless control;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents an adaptive estimator for speed-sensorless field-oriented control of induction motor By measuring the phase voltages and currents induction motor(IM) drive, a neural network based rotor flux components and speed estimation method for IM is described. The proposed estimator includes two recurrent neural networks(RNN),one is used to estimate rotor flux and speed, the other is used to estimated stator current. Using an improved recursive prediction error algorithm, on-line adaptive estimation is realized. The simulation results show high accuracy of the estimation algorithm, and verify the usefulness algorithm.
引用
收藏
页码：2812 / 2816
页数：5
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