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An adaptive neuro-fuzzy inference system employed cuk converter for PV applications

Adaptive control systems; Computer circuits; DC-DC converters; Fuzzy logic; Fuzzy neural networks; Fuzzy systems; Inference engines; Power electronics; Solar radiation; Adaptive neuro-fuzzy inference system; D-space; Fuzzy logic control; Optimal power points; Photovoltaic; Fuzzy inference

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Main Authors: Priyadarshi N., Padmanaban S., Holm-Nielsen J.B., Ramachandaramurthy V.K., Bhaskar M.S.
Other Authors: 57195679733
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-246992023-05-29T15:26:00Z An adaptive neuro-fuzzy inference system employed cuk converter for PV applications Priyadarshi N. Padmanaban S. Holm-Nielsen J.B. Ramachandaramurthy V.K. Bhaskar M.S. 57195679733 18134802000 14421042300 6602912020 56229894300 Adaptive control systems; Computer circuits; DC-DC converters; Fuzzy logic; Fuzzy neural networks; Fuzzy systems; Inference engines; Power electronics; Solar radiation; Adaptive neuro-fuzzy inference system; D-space; Fuzzy logic control; Optimal power points; Photovoltaic; Fuzzy inference An Adaptive Neuro-Fuzzy Inference System based Intelligent Algorithm for Photovoltaic (PV) application proposed in this paper. Under the nonlinear behavior of the surroundings, the proposed algorithm achieves optimal power point (OPP) without prior system knowledge. Compared with other intelligent methodologies, the proposed algorithm has low implementation cost, as it does not need any sensors to measure solar irradiance. The proposed algorithm provides proper training to the PV system under varying PV insolation. Modeled Cuk converter employed PV system is validate by simulated responses present in the paper. Inverter with Fuzzy logic control (FLC)-dSPACE board is also implement for sinusoidal current injection to the utility grid. � 2019 IEEE. Final 2023-05-29T07:26:00Z 2023-05-29T07:26:00Z 2019 Conference Paper 10.1109/CPE.2019.8862398 2-s2.0-85074164391 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074164391&doi=10.1109%2fCPE.2019.8862398&partnerID=40&md5=a2be4f42c7e646d0cb2cf6cd41448741 https://irepository.uniten.edu.my/handle/123456789/24699 8862398 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Adaptive control systems; Computer circuits; DC-DC converters; Fuzzy logic; Fuzzy neural networks; Fuzzy systems; Inference engines; Power electronics; Solar radiation; Adaptive neuro-fuzzy inference system; D-space; Fuzzy logic control; Optimal power points; Photovoltaic; Fuzzy inference
author2 57195679733
author_facet 57195679733
Priyadarshi N.
Padmanaban S.
Holm-Nielsen J.B.
Ramachandaramurthy V.K.
Bhaskar M.S.
format Conference Paper
author Priyadarshi N.
Padmanaban S.
Holm-Nielsen J.B.
Ramachandaramurthy V.K.
Bhaskar M.S.
spellingShingle Priyadarshi N.
Padmanaban S.
Holm-Nielsen J.B.
Ramachandaramurthy V.K.
Bhaskar M.S.
An adaptive neuro-fuzzy inference system employed cuk converter for PV applications
author_sort Priyadarshi N.
title An adaptive neuro-fuzzy inference system employed cuk converter for PV applications
title_short An adaptive neuro-fuzzy inference system employed cuk converter for PV applications
title_full An adaptive neuro-fuzzy inference system employed cuk converter for PV applications
title_fullStr An adaptive neuro-fuzzy inference system employed cuk converter for PV applications
title_full_unstemmed An adaptive neuro-fuzzy inference system employed cuk converter for PV applications
title_sort adaptive neuro-fuzzy inference system employed cuk converter for pv applications
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806425940192919552
score 13.214268

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