ANFIS based Neuro-Fuzzy Control of DFIG for Wind Power Generation in Standalone Mode-Reference-Cited by-同舟云学术

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ANFIS based Neuro-Fuzzy Control of DFIG for Wind Power Generation in Standalone Mode

Published:2019-05 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE International Electric Machines & Drives Conference (IEMDC)
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Author:

Amin Ifte K.,Nasir Uddin M.,Marsadek M.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8766816/8785065/08785334.pdf?arnumber=8785334

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimal Artificial Intelligence Technique for LVRT Capability Improvement of a Grid-tied Wind Energy Conversion System: A MGOANFIS-PI Methodology;Ain Shams Engineering Journal;2024-08

2. Active filter design and synthesis for hybrid neuro-fuzzy and robust PID controllers;International Journal of Dynamics and Control;2024-07-19

3. Transformative Control Optimization in PMSG-Based Wind Energy Systems: A Deep Reinforcement Learning Approach;2023 3rd International Conference on Electrical Machines and Drives (ICEMD);2023-12-20

4. Artificial intelligence-based controller for rotor current of doubly fed induction generator in wind turbine system;Wind Engineering;2023-05-06

5. Implementation of an enhanced M5p tree controller based on ANN data applied to a doubly-fed induction generator;Journal of Renewable and Sustainable Energy;2022-11

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