Synchronous machine steady-state parameter estimation using neural networks

被引：14
|
作者：
Calvo, M [1 ]
Malik, OP
机构：
[1] Nortel Networks, Calgary, AB T3J 4P8, Canada
[2] Univ Calgary, Calgary, AB T2N 1N4, Canada
来源：
IEEE TRANSACTIONS ON ENERGY CONVERSION | 2004年 / 19卷 / 02期
关键词：
neural networks; pattern recognition; steady-state parameter estimation; synchronous machine;
D O I：
10.1109/TEC.2004.827041
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
An online steady-state parameter estimation technique using the ability of the neural networks to recognize patterns is presented in this paper. The method is nonintrusive. Studies on a salient pole and on a round rotor synchronous machine illustrate the effectiveness of the proposed technique. Results indicate that the steady-state parameters can be obtained without the use of rotor position.
引用
收藏
页码：237 / 244
页数：8
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