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.

doi:10.1109/MEPS.2015.7477210

Access Status

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Authors

Muyeen, S.M.

Al-Durra, A.

Hasanien, H.

Date

2016

Type

Conference Paper

Metadata

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Citation

Muyeen, S.M. and Al-Durra, A. and Hasanien, H. 2016. Application of an adaptive neuro-fuzzy controller for speed control of switched reluctance generator driven by variable speed wind turbine, in Proceedings of the Modern Electric Power Systems (MEPS) conference, Jul 6-9 2015. Wroclaw, Poland: IEEE.

Source Title

Proceedings - International Conference on Modern Electric Power Systems, MEPS 2015

DOI

10.1109/MEPS.2015.7477210

ISBN

9781509031016

School

Department of Electrical and Computer Engineering

URI

http://hdl.handle.net/20.500.11937/42431

Collection

Curtin Research Publications

Abstract

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.