Nonlinear Control of Variable Speed Wind Turbines via Fuzzy Techniques

In this paper, a fuzzy logic controller is proposed to fulfill the objective of maximum power extraction based on a two-mass model. One of the crucial problems is that the effective wind speed cannot be measured directly due to the high disturbance of the wind speed and the high cost of sensors. Thr...

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Main Authors: Jianxing Liu, Yabin Gao, Sijia Geng, Ligang Wu
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/7542184/
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spelling doaj-e2fed299088046af9112f01a304c49752021-03-29T19:58:50ZengIEEEIEEE Access2169-35362017-01-015273410.1109/ACCESS.2016.25995427542184Nonlinear Control of Variable Speed Wind Turbines via Fuzzy TechniquesJianxing Liu0Yabin Gao1Sijia Geng2Ligang Wu3https://orcid.org/0000-0001-8198-5267Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, ChinaResearch Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, ChinaDepartment of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USAResearch Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, ChinaIn this paper, a fuzzy logic controller is proposed to fulfill the objective of maximum power extraction based on a two-mass model. One of the crucial problems is that the effective wind speed cannot be measured directly due to the high disturbance of the wind speed and the high cost of sensors. Three algorithms are used to estimate the effective wind speed by solving power balance equations, and the estimated wind speed is used to determine the optimal speed reference for a generator control system. The control performance of the fuzzy logic controller is verified in the whole system and compared with a conventional PI controller. Simulation results are presented to illustrate the effectiveness and robustness against parameter variations of the proposed control design.https://ieeexplore.ieee.org/document/7542184/Fuzzy systemsfiltering algorithmswind power generation
collection DOAJ
language English
format Article
sources DOAJ
author Jianxing Liu
Yabin Gao
Sijia Geng
Ligang Wu
spellingShingle Jianxing Liu
Yabin Gao
Sijia Geng
Ligang Wu
Nonlinear Control of Variable Speed Wind Turbines via Fuzzy Techniques
IEEE Access
Fuzzy systems
filtering algorithms
wind power generation
author_facet Jianxing Liu
Yabin Gao
Sijia Geng
Ligang Wu
author_sort Jianxing Liu
title Nonlinear Control of Variable Speed Wind Turbines via Fuzzy Techniques
title_short Nonlinear Control of Variable Speed Wind Turbines via Fuzzy Techniques
title_full Nonlinear Control of Variable Speed Wind Turbines via Fuzzy Techniques
title_fullStr Nonlinear Control of Variable Speed Wind Turbines via Fuzzy Techniques
title_full_unstemmed Nonlinear Control of Variable Speed Wind Turbines via Fuzzy Techniques
title_sort nonlinear control of variable speed wind turbines via fuzzy techniques
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2017-01-01
description In this paper, a fuzzy logic controller is proposed to fulfill the objective of maximum power extraction based on a two-mass model. One of the crucial problems is that the effective wind speed cannot be measured directly due to the high disturbance of the wind speed and the high cost of sensors. Three algorithms are used to estimate the effective wind speed by solving power balance equations, and the estimated wind speed is used to determine the optimal speed reference for a generator control system. The control performance of the fuzzy logic controller is verified in the whole system and compared with a conventional PI controller. Simulation results are presented to illustrate the effectiveness and robustness against parameter variations of the proposed control design.
topic Fuzzy systems
filtering algorithms
wind power generation
url https://ieeexplore.ieee.org/document/7542184/
work_keys_str_mv AT jianxingliu nonlinearcontrolofvariablespeedwindturbinesviafuzzytechniques
AT yabingao nonlinearcontrolofvariablespeedwindturbinesviafuzzytechniques
AT sijiageng nonlinearcontrolofvariablespeedwindturbinesviafuzzytechniques
AT ligangwu nonlinearcontrolofvariablespeedwindturbinesviafuzzytechniques
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