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

Donny Radianto; Masahito Shoyama

doi:10.1109/INTECH.2014.6927754

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

Donny Radianto, Masahito Shoyama

Applied Energy Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	4th International Conference on Innovative Computing Technology, INTECH 2014 and 3rd International Conference on Future Generation Communication Technologies, FGCT 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	19-24
Number of pages	6
ISBN (Electronic)	9781479942336
DOIs	https://doi.org/10.1109/INTECH.2014.6927754
Publication status	Published - Oct 16 2014
Event	4th International Conference on Innovative Computing Technology, INTECH 2014 and 3rd International Conference on Future Generation Communication Technologies, FGCT 2014 - Luton, United Kingdom Duration: Aug 13 2014 → Aug 15 2014

Other

Other	4th International Conference on Innovative Computing Technology, INTECH 2014 and 3rd International Conference on Future Generation Communication Technologies, FGCT 2014
Country/Territory	United Kingdom
City	Luton
Period	8/13/14 → 8/15/14

All Science Journal Classification (ASJC) codes

Management of Technology and Innovation
Computer Science(all)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/INTECH.2014.6927754

Cite this

Radianto, D., & Shoyama, M. (2014). ANFIS based a two-phase interleaved boost converter for photovoltaic system. In 4th International Conference on Innovative Computing Technology, INTECH 2014 and 3rd International Conference on Future Generation Communication Technologies, FGCT 2014 (pp. 19-24). [6927754] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INTECH.2014.6927754

ANFIS based a two-phase interleaved boost converter for photovoltaic system. / Radianto, Donny; Shoyama, Masahito.
4th International Conference on Innovative Computing Technology, INTECH 2014 and 3rd International Conference on Future Generation Communication Technologies, FGCT 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 19-24 6927754.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Radianto, D & Shoyama, M 2014, ANFIS based a two-phase interleaved boost converter for photovoltaic system. in 4th International Conference on Innovative Computing Technology, INTECH 2014 and 3rd International Conference on Future Generation Communication Technologies, FGCT 2014., 6927754, Institute of Electrical and Electronics Engineers Inc., pp. 19-24, 4th International Conference on Innovative Computing Technology, INTECH 2014 and 3rd International Conference on Future Generation Communication Technologies, FGCT 2014, Luton, United Kingdom, 8/13/14. https://doi.org/10.1109/INTECH.2014.6927754

Radianto D, Shoyama M. ANFIS based a two-phase interleaved boost converter for photovoltaic system. In 4th International Conference on Innovative Computing Technology, INTECH 2014 and 3rd International Conference on Future Generation Communication Technologies, FGCT 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 19-24. 6927754 doi: 10.1109/INTECH.2014.6927754

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abstract = "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.",

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N2 - 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.

AB - 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.

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

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