Parametric Analysis of Control Techniques for 15 MW Semi-Submersible Floating Wind Turbine
In this study, a composite control algorithm based on classical control methods is developed to achieve all control objectives, such as power production, load reduction, and motion reduction, for the floating wind turbine. In previous studies, peak shaving and nacelle feedback were used together to...
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MDPI AG
2025-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/2/519 |
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| author | Taesu Jeon Byung-Soo Kim Jaecheon Kim Insu Paek Chang-Hyuck Lim |
| author_facet | Taesu Jeon Byung-Soo Kim Jaecheon Kim Insu Paek Chang-Hyuck Lim |
| author_sort | Taesu Jeon |
| collection | DOAJ |
| description | In this study, a composite control algorithm based on classical control methods is developed to achieve all control objectives, such as power production, load reduction, and motion reduction, for the floating wind turbine. In previous studies, peak shaving and nacelle feedback were used together to reduce both platform motion and the tower-base loads of floating wind turbines. The new approach presented in this study not only addresses the platform motion and tower loads but also aims to mitigate the rotor speed fluctuations and the blade loads by additionally introducing feedforward control and individual pitch control. This expansion enhances the applicability and control performance of classical control algorithms. To achieve this, parametric simulations were conducted using OpenFAST to assess the effects of control parameter variations for each control technique. The simulation results showed that the proposed control algorithm significantly reduced the rotor speed fluctuations, tower loads, blade loads, and platform motion compared with the baseline controller. |
| format | Article |
| id | doaj-art-c572827b1c4040b1a9450a941b1e84cc |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-c572827b1c4040b1a9450a941b1e84cc2025-01-24T13:19:40ZengMDPI AGApplied Sciences2076-34172025-01-0115251910.3390/app15020519Parametric Analysis of Control Techniques for 15 MW Semi-Submersible Floating Wind TurbineTaesu Jeon0Byung-Soo Kim1Jaecheon Kim2Insu Paek3Chang-Hyuck Lim4Department of Integrated Energy and Infra System, Kangwon National University, Chuncheon-si 24341, Republic of KoreaKorea Research Institute of Ships and Ocean Engineering, 32, 1312 Beon-gil, Yuseong-daero, Yuseong-gu, Daejeon 34103, Republic of KoreaDepartment of Integrated Energy and Infra System, Kangwon National University, Chuncheon-si 24341, Republic of KoreaDepartment of Integrated Energy and Infra System, Kangwon National University, Chuncheon-si 24341, Republic of KoreaKorea Research Institute of Ships and Ocean Engineering, 32, 1312 Beon-gil, Yuseong-daero, Yuseong-gu, Daejeon 34103, Republic of KoreaIn this study, a composite control algorithm based on classical control methods is developed to achieve all control objectives, such as power production, load reduction, and motion reduction, for the floating wind turbine. In previous studies, peak shaving and nacelle feedback were used together to reduce both platform motion and the tower-base loads of floating wind turbines. The new approach presented in this study not only addresses the platform motion and tower loads but also aims to mitigate the rotor speed fluctuations and the blade loads by additionally introducing feedforward control and individual pitch control. This expansion enhances the applicability and control performance of classical control algorithms. To achieve this, parametric simulations were conducted using OpenFAST to assess the effects of control parameter variations for each control technique. The simulation results showed that the proposed control algorithm significantly reduced the rotor speed fluctuations, tower loads, blade loads, and platform motion compared with the baseline controller.https://www.mdpi.com/2076-3417/15/2/519floating wind turbinepeak shavingnacelle feedbackfeedforwardindividual pitch controlOpenFAST |
| spellingShingle | Taesu Jeon Byung-Soo Kim Jaecheon Kim Insu Paek Chang-Hyuck Lim Parametric Analysis of Control Techniques for 15 MW Semi-Submersible Floating Wind Turbine Applied Sciences floating wind turbine peak shaving nacelle feedback feedforward individual pitch control OpenFAST |
| title | Parametric Analysis of Control Techniques for 15 MW Semi-Submersible Floating Wind Turbine |
| title_full | Parametric Analysis of Control Techniques for 15 MW Semi-Submersible Floating Wind Turbine |
| title_fullStr | Parametric Analysis of Control Techniques for 15 MW Semi-Submersible Floating Wind Turbine |
| title_full_unstemmed | Parametric Analysis of Control Techniques for 15 MW Semi-Submersible Floating Wind Turbine |
| title_short | Parametric Analysis of Control Techniques for 15 MW Semi-Submersible Floating Wind Turbine |
| title_sort | parametric analysis of control techniques for 15 mw semi submersible floating wind turbine |
| topic | floating wind turbine peak shaving nacelle feedback feedforward individual pitch control OpenFAST |
| url | https://www.mdpi.com/2076-3417/15/2/519 |
| work_keys_str_mv | AT taesujeon parametricanalysisofcontroltechniquesfor15mwsemisubmersiblefloatingwindturbine AT byungsookim parametricanalysisofcontroltechniquesfor15mwsemisubmersiblefloatingwindturbine AT jaecheonkim parametricanalysisofcontroltechniquesfor15mwsemisubmersiblefloatingwindturbine AT insupaek parametricanalysisofcontroltechniquesfor15mwsemisubmersiblefloatingwindturbine AT changhyucklim parametricanalysisofcontroltechniquesfor15mwsemisubmersiblefloatingwindturbine |