Optimization of fuzzy logic (Takagi-Sugeno) blade pitch angle controller in wind turbines by genetic algorithm-Reference-Cited by-同舟云学术

Optimization of fuzzy logic (Takagi-Sugeno) blade pitch angle controller in wind turbines by genetic algorithm

Published:2020-02 Issue:1 Volume:23 Page:1-9
ISSN:2215-0986
Container-title:Engineering Science and Technology, an International Journal
language:en
Short-container-title:Engineering Science and Technology, an International Journal

Author:

Civelek Zafer

Publisher

Elsevier BV

Subject

Metals and Alloys,Computer Networks and Communications,Fluid Flow and Transfer Processes,Hardware and Architecture,Mechanical Engineering,Biomaterials,Civil and Structural Engineering,Electronic, Optical and Magnetic Materials

Reference28 articles.

1. Output power control of wind turbine generator by pitch angle control using minimum variance control;Senjyu;Electr. Eng. Jpn.,2006

2. Wind energy handbook;Burton,2011

3. Estimation based individual pitch control of wind turbine;Jelavić;Automatika,2010

4. PID control in adjustable-pitch wind turbine system based on fuzzy control;Qi,2010

5. Advanced pitch angle control based on fuzzy logic for variable-speed wind turbine systems;Van;IEEE Trans. Energy Convers.,2015

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