NeuroVI-based wave compensation system control for offshore wind turbines
Fengshuang Ma, Xiangyong Liu, Zhiqiang Xu, Tianhong Ding
TL;DR
This paper introduces a new wave compensation system for offshore wind turbines using a NeuroVI camera to improve stability and reduce impact risks in deep-sea environments.
Contribution
The novel use of a NeuroVI camera for real-time displacement detection in offshore wind turbine hoisting operations is introduced.
Findings
The NeuroVI-based system outperforms traditional sensors in response time and stability under wave disturbances.
Laboratory and real-world tests confirmed the system's effectiveness in mitigating multi-impact risks during turbine installation.
AMESim-Simulink co-simulation validated the dynamic performance of the NeuroVI feedback system.
Abstract
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…
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Taxonomy
TopicsWave and Wind Energy Systems · Magnetic Bearings and Levitation Dynamics · Underwater Vehicles and Communication Systems