Intelligent system based speed estimation of induction motors for industrial sensorless schemes

被引：0
|
作者：
Goedtel, Alessandro [1 ]
da Silva, Ivan N. [1 ]
Serni, Paulo J. A. [2 ]
机构：
[1] Univ Sao Paulo, Dept Elect Engn, Av Trabalhador Sao Carlense 400, BR-13566590 Sao Carlos, SP, Brazil
[2] State Univ Sao Paulo, Elect Engn Dept, BR-17033360 Bauru, SP, Brazil
来源：
PROCEEDINGS OF THE 2007 IEEE CONFERENCE ON CONTROL APPLICATIONS, VOLS 1-3 | 2007年
基金：
巴西圣保罗研究基金会;
关键词：
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：
The use of sensorless technologies is an increasing tendency on industrial drivers for electrical machines. The estimation of electrical and mechanical parameters involved with the electrical machine control is used very frequently in order to avoid measurement of all variables involved in this process. The cost reduction may also be considered in industrial drivers, besides the increasing robustness of the system, as an advantage of the use of sensorless technologies. This work proposes the use of artificial neural networks to estimate one of the most important variables in the induction motor control schemes: the speed. Simulation results are presented to validate the proposed approach.
引用
收藏
页码：1541 / +
页数：2
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