| Title: | OS13-6 Conducted Electromagnetic Interference Prediction of the Buck Converter via Neural Networks |
|---|---|
| Publication: | ICAROB2017 |
| Volume: | 22 |
| Pages: | 404-407 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2017.OS13-6 |
| Author(s): | Sumin Han, Fuzhong Wang |
| Publication Date: | January 19, 2017 |
| Keywords: | EMI prediction, DM, CM, neural networks, buck converter |
| Abstract: | This paper proposes an approach using neutral networks to predict conducted electromagnetic interference (EMI) on the power supply line in the buck converter. The experimental scheme is designed to collect the input and output target samples. It establishes a three-layer network including one hidden layer, whose activation function is of the hyperbolic tangent type .By the conducted EMI predicting model trained, interference prediction waveforms is obtained and analyzed . The results demonstrate that the approach is decent. |
| PDF File: | https://alife-robotics.co.jp/members2017/icarob/data/html/data/OS_pdf/OS13/OS13-6.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
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