ANFIS based a two-phase interleaved boost converter for photovoltaic system

Donny Radianto, Masahito Shoyama

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

3 被引用数 (Scopus)

抄録

In this paper, A two-phase interleaved boost converter (IBC), which is based on Adaptive Neuro-Fuzzy Inference System (ANFIS) for photovoltaic (PV) system is proposed. The proposed system has two inputs and 1 output. Two inputs of the proposed system consist of solar irradiation and temperature. Meanwhile, the output of the proposed system is aduty cycle. The duty cycle is used to generate Pulsed Width Modulation (PWM), which serves to activate MOSFET. Furthermore, the proposed ANFIS features 20 epochs and utilizes hybrid mechanism to train data. Some simulations of IBC combined with PV system have been performed using Matlab / SIMULINK. Furthermore, some comparisons of two different methods have been carried out to validate the results. The comparison analysis results indicate that the system using ANFIS can obtain higher voltage than the system using FLC. In addition, the proposed system is also able to reduce overshoot and be able to increase the output power.

本文言語英語
ホスト出版物のタイトル4th International Conference on Innovative Computing Technology, INTECH 2014 and 3rd International Conference on Future Generation Communication Technologies, FGCT 2014
出版社Institute of Electrical and Electronics Engineers Inc.
ページ19-24
ページ数6
ISBN(電子版)9781479942336
DOI
出版ステータス出版済み - 10月 16 2014
イベント4th International Conference on Innovative Computing Technology, INTECH 2014 and 3rd International Conference on Future Generation Communication Technologies, FGCT 2014 - Luton, 英国
継続期間: 8月 13 20148月 15 2014

その他

その他4th International Conference on Innovative Computing Technology, INTECH 2014 and 3rd International Conference on Future Generation Communication Technologies, FGCT 2014
国/地域英国
CityLuton
Period8/13/148/15/14

!!!All Science Journal Classification (ASJC) codes

  • 技術マネージメントおよび技術革新管理
  • コンピュータ サイエンス(全般)

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