Load torque identification in induction motor using neural networks technique

被引：20
|
作者：
Goedtel, Alessandro [1 ]
da Silva, Ivan Nunes [1 ]
Serni, Paulo Jose Amaral [1 ]
机构：
[1] Univ Sao Paulo, Dept Elect Engn, BR-13566590 Sao Carlos, SP, Brazil
来源：
ELECTRIC POWER SYSTEMS RESEARCH | 2007年 / 77卷 / 01期
基金：
巴西圣保罗研究基金会;
关键词：
induction motors; load modeling; neural networks; parameter estimation; system identification;
D O I：
10.1016/j.epsr.2006.01.006
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：
Induction motors are widely used in several industrial sectors. However, the dimensioning of induction motors is often inaccurate because, in most cases, the load behavior in the shaft is completely unknown. The proposal of this paper is to use artificial neural networks as a tool for dimensioning induction motors rather than conventional methods, which use classical identification techniques and mechanical load modeling. Simulation results are also presented to validate the proposed approach. (C) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码：35 / 45
页数：11
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