Estimation of Induction Motor Speed Based on Artificial Neural Networks Inversion System

被引：0

作者：

Liu, Guohai ^{[1
]}

Hu, Zijian ^{[1
]}

Shen, Yue ^{[1
]}

Zhou, Huawei ^{[1
]}

Teng, Chenlong ^{[1
]}

机构：

[1] Jiangsu Univ, Sch Elect & Informat Engn, Zhejiang 212013, Peoples R China

来源：

2008 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS AND SIGNAL PROCESSING, VOLS 1 AND 2 | 2007年

关键词：

Induction motor; Neural Networks; Speed Estimation; Inverse System;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

As rotation speed is necessary for high-performance induction motor control, how to estimate the speed quickly and accurately is concerned by most scholars. On the analysis of theoretic invertibility of the induction motor's mathematic model, a speed estimation based on neural networks inversion is proposed. The structure of multi-layer feed-forward neural network (MFNN) is trained by advanced Back Propagation arithmetic. Also the achievement method and experiment results were given. The results show that the responses based on ANN inversion method can track the rotation speed quickly and accurately. The method proposed is effective in application.

引用

页码：43 / 47

页数：5

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