Neural block control for a synchronous electric generator.

被引：0
|
作者：
Benitez, VH [1 ]
Sanchez, EN [1 ]
Loukianov, AG [1 ]
机构：
[1] CINVESTAV, Unidad Guadalajara, Guadalajara 45091, Jalisco, Mexico
来源：
2004 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS | 2004年
关键词：
power energy; electro-mechanical systems; nonlinear systems; identification; block control;
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：
In this paper we present a novel identification and control scheme which is able to identify and to control a synchronous generator using a neural identifier. The generator is modelled as a full (eight) order one. A third order neural network such as the one presented in [3], is used to identify the dynamics of the synchronous generator. Moreover, a discontinuous control law based on the neural identifier is designed using the block control technique in order to track reference signals and rejects external disturbances caused by generator terminal short circuits. Simulation results are presented in order to test the applicability of the proposed approach.
引用
收藏
页码：2919 / 2924
页数：6
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