A novel digital‐signal‐processor‐based maximum‐power‐point tracking control design for a vertical‐axis wind‐turbine generation system using neural network compensator

A novel digital‐signal‐processor‐based maximum‐power‐point tracking control design for a vertical‐axis wind‐turbine generation system using neural network compensator

Abstract This paper presents a novel maximum‐power‐point tracking algorithm of a vertical‐axis wind‐turbine (VAWT) generation system using neural network compensator on the basis of a digital signal processing chip. First, the mechanical power versus rotation‐speed curve of a 3‐kW VAWT generator was...

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Bibliographic Details
Main Authors: Ming‐Fa Tsai, Chung‐Shi Tseng, Yu‐Hsiang Hung, Kuo‐Lung Tsai
Format: Article
Language:English
Published: Wiley 2022-07-01
Series:IET Electric Power Applications
Subjects:
maximum power point trackers
neural nets
permanent magnet generators
renewable energy sources
wind turbines
Online Access:https://doi.org/10.1049/elp2.12190

Internet

https://doi.org/10.1049/elp2.12190

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