NeuroVI-based wave compensation system control for offshore wind turbines
In deep-sea areas, the hoisting operation of offshore wind turbines is seriously affected by waves, and the secondary impact is prone to occur between the turbine and the pile foundation. To address this issue, this study proposes an integrated wave compensation system for offshore wind turbines bas...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-07-01
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| Series: | Frontiers in Neurorobotics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnbot.2025.1648713/full |
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| author | Fengshuang Ma Fengshuang Ma Xiangyong Liu Xiangyong Liu Zhiqiang Xu Zhiqiang Xu Tianhong Ding Tianhong Ding |
| author_facet | Fengshuang Ma Fengshuang Ma Xiangyong Liu Xiangyong Liu Zhiqiang Xu Zhiqiang Xu Tianhong Ding Tianhong Ding |
| author_sort | Fengshuang Ma |
| collection | DOAJ |
| description | In deep-sea areas, the hoisting operation of offshore wind turbines is seriously affected by waves, and the secondary impact is prone to occur between the turbine and the pile foundation. To address this issue, this study proposes an integrated wave compensation system for offshore wind turbines based on a neuromorphic vision (NeuroVI) camera. The system employs a NeuroVI camera to achieve non-contact, high-precision, and low-latency displacement detection of hydraulic cylinders, overcoming the limitations of traditional magnetostrictive displacement sensors, which exhibit slow response and susceptibility to interference in harsh marine conditions. A dynamic simulation model was developed using AMESim-Simulink co-simulation to analyze the compensation performance of the NeuroVI-based system under step and sinusoidal wave disturbances. Comparative results demonstrate that the NeuroVI feedback system achieves faster response times and superior stability over conventional sensors. Laboratory-scale model tests and real-world application in the installation of a 5.2 MW offshore wind turbine validated the system’s feasibility and robustness, enabling real-time collaborative control of turbine and cylinder displacement to effectively mitigate multi-impact risks. This research provides an innovative approach for deploying neural perception technology in complex marine scenarios and advances the development of neuro-robotic systems in ocean engineering. |
| format | Article |
| id | doaj-art-719b717c07ee4ea59cdcce4ff972ed33 |
| institution | Kabale University |
| issn | 1662-5218 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neurorobotics |
| spelling | doaj-art-719b717c07ee4ea59cdcce4ff972ed332025-08-20T03:56:05ZengFrontiers Media S.A.Frontiers in Neurorobotics1662-52182025-07-011910.3389/fnbot.2025.16487131648713NeuroVI-based wave compensation system control for offshore wind turbinesFengshuang Ma0Fengshuang Ma1Xiangyong Liu2Xiangyong Liu3Zhiqiang Xu4Zhiqiang Xu5Tianhong Ding6Tianhong Ding7Fishery Machinery and Instrument Research Institute, Chinese Academy of Fishery Sciences, Shanghai, ChinaEast China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai, ChinaFishery Machinery and Instrument Research Institute, Chinese Academy of Fishery Sciences, Shanghai, ChinaEast China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai, ChinaFishery Machinery and Instrument Research Institute, Chinese Academy of Fishery Sciences, Shanghai, ChinaEast China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai, ChinaFishery Machinery and Instrument Research Institute, Chinese Academy of Fishery Sciences, Shanghai, ChinaEast China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai, ChinaIn deep-sea areas, the hoisting operation of offshore wind turbines is seriously affected by waves, and the secondary impact is prone to occur between the turbine and the pile foundation. To address this issue, this study proposes an integrated wave compensation system for offshore wind turbines based on a neuromorphic vision (NeuroVI) camera. The system employs a NeuroVI camera to achieve non-contact, high-precision, and low-latency displacement detection of hydraulic cylinders, overcoming the limitations of traditional magnetostrictive displacement sensors, which exhibit slow response and susceptibility to interference in harsh marine conditions. A dynamic simulation model was developed using AMESim-Simulink co-simulation to analyze the compensation performance of the NeuroVI-based system under step and sinusoidal wave disturbances. Comparative results demonstrate that the NeuroVI feedback system achieves faster response times and superior stability over conventional sensors. Laboratory-scale model tests and real-world application in the installation of a 5.2 MW offshore wind turbine validated the system’s feasibility and robustness, enabling real-time collaborative control of turbine and cylinder displacement to effectively mitigate multi-impact risks. This research provides an innovative approach for deploying neural perception technology in complex marine scenarios and advances the development of neuro-robotic systems in ocean engineering.https://www.frontiersin.org/articles/10.3389/fnbot.2025.1648713/fullintegrated installation of offshore wind turbinewave compensation systemneuromorphic vision (NeuroVI) cameraspiking neural networks (SNN)AMESim-Simulink co-simulationsynchronized motion control of displacements |
| spellingShingle | Fengshuang Ma Fengshuang Ma Xiangyong Liu Xiangyong Liu Zhiqiang Xu Zhiqiang Xu Tianhong Ding Tianhong Ding NeuroVI-based wave compensation system control for offshore wind turbines Frontiers in Neurorobotics integrated installation of offshore wind turbine wave compensation system neuromorphic vision (NeuroVI) camera spiking neural networks (SNN) AMESim-Simulink co-simulation synchronized motion control of displacements |
| title | NeuroVI-based wave compensation system control for offshore wind turbines |
| title_full | NeuroVI-based wave compensation system control for offshore wind turbines |
| title_fullStr | NeuroVI-based wave compensation system control for offshore wind turbines |
| title_full_unstemmed | NeuroVI-based wave compensation system control for offshore wind turbines |
| title_short | NeuroVI-based wave compensation system control for offshore wind turbines |
| title_sort | neurovi based wave compensation system control for offshore wind turbines |
| topic | integrated installation of offshore wind turbine wave compensation system neuromorphic vision (NeuroVI) camera spiking neural networks (SNN) AMESim-Simulink co-simulation synchronized motion control of displacements |
| url | https://www.frontiersin.org/articles/10.3389/fnbot.2025.1648713/full |
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