Design and implementation of a neural controller for power factor correction

被引:0
|
作者
Sagiroglu, S. [1 ]
Bayindir, R. [2 ]
Colak, I. [2 ]
机构
[1] Gazi Univ, Dept Comp Engn, Fac Engn & Architecture, TR-06570 Ankara, Turkey
[2] Gazi Univ, Fac Tech Educ, Dept Elect Educ, TR-06500 Ankara, Turkey
关键词
Power factor correction; Microcontroller; Multi-layered perceptron; Backpropagation; Controller; EXCITATION CONTROL; SYSTEM; NETWORK; ANN;
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
This paper introduces a new control approach based on multi-layered perceptron to handle reactive power of the system with the help of a synchronous motor compensator. The neural system was trained with backpropagation with momentum. The perceptron parameters were obtained from an off-line training and then inserted in a microcontroller for the correction. The results have shown that the approach presented in this work provides accurate, simple, low-cost and fast correction than the conventional compensators available in the literature.
引用
收藏
页码:209 / 220
页数:12
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