Identification and control of power converters by means of neural networks

被引：43

作者：

Leyva, R

MartinezSalamero, L

Jammes, B

Marpinard, JC

Guinjoan, F

机构：

[1] CNRS,LAB AUTOMAT & ARQUITECTURE SYST,TOULOUSE,FRANCE

[2] UPC,ESCOLA TECN SUPER ENGN TELECOMMUN,DEPT ELECT ENGN,BARCELONA 08034,SPAIN

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS | 1997年 / 44卷 / 08期

关键词：

index converters; neural networks; pseudolinearization;

D O I：

10.1109/81.611270

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：

This paper investigates the use of neural networks for identification and control of power converters, A nonparametric model of a de-to-de switching converter implemented by means of a neural network emulator identifies the converter dynamics in cases of uncertainty in the load parameter. A pseudo-linearization control technique resulting in converter regulation and closed-loop linear dynamic behavior is also implemented by means of a neural controller. Simulation results in a PWM boost converter under large-signal operation illustrate both applications.

引用

页码：735 / 742

页数：8

共 20 条

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BIEL D, 1996, P ISCAS 96 IEEE INT, P589

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