A Multilayer Perceptron Controller Applied to the Direct Power Control of a Doubly Fed Induction Generator

被引：31

作者：

de Marchi, Rodrigo Andreoli ^{[1
]}

Dainez, Paulo Sergio ^{[1
]}

Von Zuben, Fernando J. ^{[1
]}

Bim, Edson ^{[1
]}

机构：

[1] State Univ Campinas UNICAMP, Sch Elect & Comp Engn, BR-13083852 Sao Paulo, Brazil

来源：

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY | 2014年 / 5卷 / 02期

基金：

巴西圣保罗研究基金会;

关键词：

Artificial neural network (ANN); constant switching frequency; direct power control (DPC); doubly fed induction generator (DFIG); multilayer perceptron (MLP); WIND TURBINES; DFIG;

D O I：

10.1109/TSTE.2013.2293621

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This paper presents a direct power control strategy for a doubly fed induction generator by using an artificial neural network controller with the multilayer perceptron structure. This controller generates the direct-and quadrature-axis rotor voltage signals from both the stator current and voltage that are measured by the Hall sensors. The input variables of the control system are the rotor speed, the active and reactive power references, and their respective errors. The proposed control strategy allows the converter connected to the rotor terminals to operate with constant switching frequency. Digital simulation and experimental tests are performed for a 2.25-kW doubly fed induction generator to validate the proposed control strategy.

引用

页码：498 / 506

页数：9

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