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Removal of Harmonics from the output of Buck Converter by Hetero-associative Neural Network
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 45 - Number 6 |
| Year of Publication: 2012 |
| Authors: Moumi Pandit, Mousumi Gupta |
10.5120/6781-9080
|
Moumi Pandit, Mousumi Gupta . Removal of Harmonics from the output of Buck Converter by Hetero-associative Neural Network. International Journal of Computer Applications. 45, 6 ( May 2012), 1-4. DOI=10.5120/6781-9080
Abstract
In almost all applications of power electronics there is always an influence of harmonics and noise in voltage and current waveforms. In this paper, a harmonic rejection technique has been proposed based on neural network platform. An ANN model has been developed which when trained can remove harmonics from the output of the buck converter. In this paper, a buck converter has been designed in MATLAB environment and the output voltage waveform is corrupted with harmonics. The corrupted output voltage is then passed through an ANN model. The developed model will remove the harmonics by hetero associative neural network approach. In the whole process a buck converter is simulated, one ANN model is developed, which is trained and tested on MATLAB platform.
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