Artificial neural controller for torque ripple control and maximum power extraction for wind system driven by switched reluctance generator-Reference-Cited by-同舟云学术

Artificial neural controller for torque ripple control and maximum power extraction for wind system driven by switched reluctance generator

Published:2018-12 Issue:4 Volume:9 Page:2255-2264
ISSN:2090-4479
Container-title:Ain Shams Engineering Journal
language:en
Short-container-title:Ain Shams Engineering Journal

Author:

Saad Naggar H.,El-Sattar Ahmed A.,Metally Mohamed E.

Publisher

Elsevier BV

Subject

General Engineering

Reference26 articles.

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4. Kazmi Syed Muhammad Raza, Erkan Sunan. Instantaneous torque ripple control and maximum power extraction in a permanent magnet reluctance generator driven wind energy conversion system. In: XIX international conference on electrical machines - ICEM 2010 IEEE. p. 1–6.

5. Park Kiwoo, Chen Zhe. Self-tuning fuzzy logic control of a switched reluctance generator for wind energy applications. In: 3rd IEEE international symposium on power electronics for distributed generation systems (PEDG); 2012. p. 357–63.

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