Research on control methods and technology for reduction of large-scale wind turbine blade vibration
This paper is mainly devoted to the analysis and suppression of large-scale wind turbine blade vibration. Firstly, the mechanism of blade vibration including waved vibration and shimmy vibration is analyzed in detail and the mathematical model of blade vibration is established. Secondly, the influen...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-12-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722026427 |
| _version_ | 1827902753344585728 |
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| author | Feihang Zhou Jianxiang Yang Ji Pang Bo Wang |
| author_facet | Feihang Zhou Jianxiang Yang Ji Pang Bo Wang |
| author_sort | Feihang Zhou |
| collection | DOAJ |
| description | This paper is mainly devoted to the analysis and suppression of large-scale wind turbine blade vibration. Firstly, the mechanism of blade vibration including waved vibration and shimmy vibration is analyzed in detail and the mathematical model of blade vibration is established. Secondly, the influence of tower shadow effect and wind shear on blade flutter is discussed based on the established blade vibration model. In the end, for the suppression of blade vibration, some control schemes based on individual variable-pitch including blade damping control, LQG control, H∞ control and improved LQG control with optimal disturbance observer proposed in this paper are studied. At the same time, the specific processes of controllers design are given and these algorithms are effectively verified by simulations. The results show that the improved LQG control with optimal disturbance observer has the better suppression effect on blade vibration compared with other methods, which can provide a certain theoretical support to choose the control algorithm in reality. |
| first_indexed | 2024-03-13T00:03:38Z |
| format | Article |
| id | doaj.art-24e4fbcc70744f10b7e23e137dfb2e80 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-03-13T00:03:38Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-24e4fbcc70744f10b7e23e137dfb2e802023-07-13T05:28:49ZengElsevierEnergy Reports2352-48472023-12-019912923Research on control methods and technology for reduction of large-scale wind turbine blade vibrationFeihang Zhou0Jianxiang Yang1Ji Pang2Bo Wang3School of Automation, Xi’an University of Posts and Telecommunications, Xi’an, 710121, ChinaSchool of Automation, Guangdong Polyphonic Normal University, Guangzhou, 510665, China; Corresponding author.School of Automation, Xi’an University of Posts and Telecommunications, Xi’an, 710121, ChinaSchool of Automation, Xi’an University of Posts and Telecommunications, Xi’an, 710121, ChinaThis paper is mainly devoted to the analysis and suppression of large-scale wind turbine blade vibration. Firstly, the mechanism of blade vibration including waved vibration and shimmy vibration is analyzed in detail and the mathematical model of blade vibration is established. Secondly, the influence of tower shadow effect and wind shear on blade flutter is discussed based on the established blade vibration model. In the end, for the suppression of blade vibration, some control schemes based on individual variable-pitch including blade damping control, LQG control, H∞ control and improved LQG control with optimal disturbance observer proposed in this paper are studied. At the same time, the specific processes of controllers design are given and these algorithms are effectively verified by simulations. The results show that the improved LQG control with optimal disturbance observer has the better suppression effect on blade vibration compared with other methods, which can provide a certain theoretical support to choose the control algorithm in reality.http://www.sciencedirect.com/science/article/pii/S2352484722026427Blade vibrationWaved vibrationShimmy vibrationTower shadow effectWind shearBlade damping control |
| spellingShingle | Feihang Zhou Jianxiang Yang Ji Pang Bo Wang Research on control methods and technology for reduction of large-scale wind turbine blade vibration Energy Reports Blade vibration Waved vibration Shimmy vibration Tower shadow effect Wind shear Blade damping control |
| title | Research on control methods and technology for reduction of large-scale wind turbine blade vibration |
| title_full | Research on control methods and technology for reduction of large-scale wind turbine blade vibration |
| title_fullStr | Research on control methods and technology for reduction of large-scale wind turbine blade vibration |
| title_full_unstemmed | Research on control methods and technology for reduction of large-scale wind turbine blade vibration |
| title_short | Research on control methods and technology for reduction of large-scale wind turbine blade vibration |
| title_sort | research on control methods and technology for reduction of large scale wind turbine blade vibration |
| topic | Blade vibration Waved vibration Shimmy vibration Tower shadow effect Wind shear Blade damping control |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722026427 |
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