Utilizing Fuzzy Logic Control and Neural Networks Based on Artificial Intelligence Techniques to Imp...
Utilizing Fuzzy Logic Control and Neural Networks Based on Artificial Intelligence Techniques to Improve Power Quality in Doubly Fed Induction Generator‐Based Wind Turbine System
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Bognor Regis: John Wiley & Sons, Inc
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Language
English
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Bognor Regis: John Wiley & Sons, Inc
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This article presents novel artificial intelligence (AI)‐based techniques for controlling wind energy conversion systems, specifically fuzzy logic control and neural networks, known as fuzzy hysteresis‐direct power control (FH‐DPC) and neural hysteresis‐DPC (NH‐DPC), respectively. The primary purpose is to overcome conventional DPC (C‐DPC) limitati...
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Full title
Utilizing Fuzzy Logic Control and Neural Networks Based on Artificial Intelligence Techniques to Improve Power Quality in Doubly Fed Induction Generator‐Based Wind Turbine System
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TN_cdi_hal_primary_oai_HAL_hal_05026938v1
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_hal_primary_oai_HAL_hal_05026938v1
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ISSN
0363-907X
E-ISSN
1099-114X
DOI
10.1155/er/5985904
