Simplified control structure for current control of single phase rectifiers using COT-ANN-PWM

被引：9

作者：

Viola, Julio ^{[1
]}

Restrepo, Jose ^{[1
]}

Aller, Jose M. ^{[2
]}

Diaz, Mary ^{[1
]}

Harley, Ronald ^{[3
]}

Habetler, Thomas ^{[3
]}

机构：

[1] Univ Simon Bolivar, Dept Elect & Circuitos, Caracas 1080A, Venezuela

[2] Univ Simon Bolivar, Dept Convers & Transporte Energia, Caracas 1080A, Venezuela

[3] Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30332 USA

来源：

2007 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-6 | 2007年

关键词：

D O I：

10.1109/IJCNN.2007.4371158

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper describes a single phase switched rectifier for current control using Model Reference Adaptive Control (MRAC) with a Continually On-Line Trained Artificial Neural Network (COT-ANN). The results obtained with the proposed scheme are similar to the ones obtained in a previous work but using a simpler control structure. Simulations are used to test the validity of the proposed algorithm and the results are later verified by a practical implementation of this system.

引用

页码：1370 / +

页数：2

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