LAPSE:2023.27706
Published Article

LAPSE:2023.27706
A Pitch Angle Controller Based on Novel Fuzzy-PI Control for Wind Turbine Load Reduction
April 4, 2023
Abstract
A novel fuzzy rule is proposed to adopt a positive pitch strategy when the error between the measured and rated generator speed becomes large and continues to increase, and to adopt a negative pitch strategy when the error is small. The improved approach is introduced into the normal Fuzzy-Proportional-Integral (Fuzzy-PI) control strategy by dividing the fuzzy rules into four areas and analyzing the design method for each area. Furthermore, a low pass filter is used to reduce the ultimate loads of the pitch driver caused by the novel fuzzy rules. The modeling of the wind turbine load under turbulent wind conditions is conducted in GH Bladed, and MATLAB/Simulink is used to interact with the modeling to verify the novel Fuzzy-PI control. The results show that, compared with normal Fuzzy-PI control, the novel Fuzzy-PI control can greatly reduce the ultimate loads and fatigue loads of the pitch driver. The novel Fuzzy-PI control not only reduces the extremum of power deviation, but also decreases some ultimate loads and fatigue loads of the tower base and the blade root. It can reduce these loads by up to 21.53% under the normal turbulent wind condition and by up to 18.14% under the extreme turbulent wind condition.
A novel fuzzy rule is proposed to adopt a positive pitch strategy when the error between the measured and rated generator speed becomes large and continues to increase, and to adopt a negative pitch strategy when the error is small. The improved approach is introduced into the normal Fuzzy-Proportional-Integral (Fuzzy-PI) control strategy by dividing the fuzzy rules into four areas and analyzing the design method for each area. Furthermore, a low pass filter is used to reduce the ultimate loads of the pitch driver caused by the novel fuzzy rules. The modeling of the wind turbine load under turbulent wind conditions is conducted in GH Bladed, and MATLAB/Simulink is used to interact with the modeling to verify the novel Fuzzy-PI control. The results show that, compared with normal Fuzzy-PI control, the novel Fuzzy-PI control can greatly reduce the ultimate loads and fatigue loads of the pitch driver. The novel Fuzzy-PI control not only reduces the extremum of power deviation, but also decreases some ultimate loads and fatigue loads of the tower base and the blade root. It can reduce these loads by up to 21.53% under the normal turbulent wind condition and by up to 18.14% under the extreme turbulent wind condition.
Record ID
Keywords
fuzzy rules, Fuzzy-PI control, load reduction, pitch angle controller, wind turbine
Subject
Suggested Citation
Xu B, Yuan Y, Liu H, Jiang P, Gao Z, Shen X, Cai X. A Pitch Angle Controller Based on Novel Fuzzy-PI Control for Wind Turbine Load Reduction. (2023). LAPSE:2023.27706
Author Affiliations
Xu B: Research Center for Renewable Energy Generation Engineering of Ministry of Education, Hohai University, Nanjing 211100, China
Yuan Y: Research Center for Renewable Energy Generation Engineering of Ministry of Education, Hohai University, Nanjing 211100, China
Liu H: Research Center for Renewable Energy Generation Engineering of Ministry of Education, Hohai University, Nanjing 211100, China [ORCID]
Jiang P: Research Center for Renewable Energy Generation Engineering of Ministry of Education, Hohai University, Nanjing 211100, China; Goldwind Science & Technology Co., Ltd., Beijing 100176, China
Gao Z: Goldwind Science & Technology Co., Ltd., Beijing 100176, China
Shen X: Department of Mechanical and Construction Engineering, Northumbria University, Newcastle upon Tyne NE1 8ST, UK
Cai X: Jiangsu Province Wind Power Structural Engineering Research Center, Hohai University, Nanjing 211100, China
Yuan Y: Research Center for Renewable Energy Generation Engineering of Ministry of Education, Hohai University, Nanjing 211100, China
Liu H: Research Center for Renewable Energy Generation Engineering of Ministry of Education, Hohai University, Nanjing 211100, China [ORCID]
Jiang P: Research Center for Renewable Energy Generation Engineering of Ministry of Education, Hohai University, Nanjing 211100, China; Goldwind Science & Technology Co., Ltd., Beijing 100176, China
Gao Z: Goldwind Science & Technology Co., Ltd., Beijing 100176, China
Shen X: Department of Mechanical and Construction Engineering, Northumbria University, Newcastle upon Tyne NE1 8ST, UK
Cai X: Jiangsu Province Wind Power Structural Engineering Research Center, Hohai University, Nanjing 211100, China
Journal Name
Energies
Volume
13
Issue
22
Article Number
E6086
Year
2020
Publication Date
2020-11-20
ISSN
1996-1073
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PII: en13226086, Publication Type: Journal Article
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LAPSE:2023.27706
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https://doi.org/10.3390/en13226086
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