Application of an adaptive neuro-fuzzy controller for speed control of switched reluctance generator driven by variable speed wind turbine

This paper presents the application of an adaptive neuro-fuzzy controller (ANFC) for speed control of the switched reluctance generator (SRG). In this study, the SRG is driven by a variable-speed wind turbine and connected to the grid through an asymmetric half bridge inverter, DC-link, and DC-AC in...

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Main Authors: Muyeen, S.M., Al-Durra, A., Hasanien, H.
Format: Conference Paper
Published: 2016
Online Access:http://hdl.handle.net/20.500.11937/42431
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author Muyeen, S.M.
Al-Durra, A.
Hasanien, H.
author_facet Muyeen, S.M.
Al-Durra, A.
Hasanien, H.
author_sort Muyeen, S.M.
building Curtin Institutional Repository
collection Online Access
description This paper presents the application of an adaptive neuro-fuzzy controller (ANFC) for speed control of the switched reluctance generator (SRG). In this study, the SRG is driven by a variable-speed wind turbine and connected to the grid through an asymmetric half bridge inverter, DC-link, and DC-AC inverter system. Speed control plays an important role in variable-speed operation of the SRG to ensure maximum power delivery to the grid for any particular wind speed. The effectiveness of the proposed ANFC is compared with that of the conventional proportional-Integral (PI) controller. Detailed modeling and control strategies of the overall system are also presented. The validity of the proposed system is verified by the simulation results using the real wind speed data measured at Hokkaido Island, Japan. The dynamic simulation study is performed using the laboratory standard power system simulator PSCAD/EMTDC.
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format Conference Paper
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T09:11:52Z
publishDate 2016
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spelling curtin-20.500.11937-424312017-09-13T14:24:47Z Application of an adaptive neuro-fuzzy controller for speed control of switched reluctance generator driven by variable speed wind turbine Muyeen, S.M. Al-Durra, A. Hasanien, H. This paper presents the application of an adaptive neuro-fuzzy controller (ANFC) for speed control of the switched reluctance generator (SRG). In this study, the SRG is driven by a variable-speed wind turbine and connected to the grid through an asymmetric half bridge inverter, DC-link, and DC-AC inverter system. Speed control plays an important role in variable-speed operation of the SRG to ensure maximum power delivery to the grid for any particular wind speed. The effectiveness of the proposed ANFC is compared with that of the conventional proportional-Integral (PI) controller. Detailed modeling and control strategies of the overall system are also presented. The validity of the proposed system is verified by the simulation results using the real wind speed data measured at Hokkaido Island, Japan. The dynamic simulation study is performed using the laboratory standard power system simulator PSCAD/EMTDC. 2016 Conference Paper http://hdl.handle.net/20.500.11937/42431 10.1109/MEPS.2015.7477210 restricted
spellingShingle Muyeen, S.M.
Al-Durra, A.
Hasanien, H.
Application of an adaptive neuro-fuzzy controller for speed control of switched reluctance generator driven by variable speed wind turbine
title Application of an adaptive neuro-fuzzy controller for speed control of switched reluctance generator driven by variable speed wind turbine
title_full Application of an adaptive neuro-fuzzy controller for speed control of switched reluctance generator driven by variable speed wind turbine
title_fullStr Application of an adaptive neuro-fuzzy controller for speed control of switched reluctance generator driven by variable speed wind turbine
title_full_unstemmed Application of an adaptive neuro-fuzzy controller for speed control of switched reluctance generator driven by variable speed wind turbine
title_short Application of an adaptive neuro-fuzzy controller for speed control of switched reluctance generator driven by variable speed wind turbine
title_sort application of an adaptive neuro-fuzzy controller for speed control of switched reluctance generator driven by variable speed wind turbine
url http://hdl.handle.net/20.500.11937/42431