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
收藏
页码：1370 / +
页数：2
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