NeuroVI-based wave compensation system control for offshore wind turbines

Area of Science:

• Ocean engineering
• Robotics
• Marine technology

Background:

• Offshore wind turbine installation is challenged by wave-induced motion and secondary impacts.
• Traditional sensors for monitoring hydraulic cylinders have limitations in harsh marine environments.

Purpose of the Study:

• To develop and validate an integrated wave compensation system for offshore wind turbines.
• To leverage neuromorphic vision technology for enhanced displacement detection.
• To mitigate risks associated with secondary impacts during installation.

Main Methods:

• Utilized a neuromorphic vision (NeuroVI) camera for non-contact, high-precision, low-latency displacement detection.
• Developed a dynamic simulation model using AMESim-Simulink co-simulation for performance analysis.
• Conducted laboratory-scale model tests and real-world application during a 5.2 MW offshore wind turbine installation.

Main Results:

• The NeuroVI-based system demonstrated faster response times and superior stability compared to conventional sensors.
• Effective real-time collaborative control of turbine and cylinder displacement was achieved.
• The system successfully mitigated multi-impact risks in complex marine scenarios.

Conclusions:

• The proposed NeuroVI wave compensation system is feasible and robust for offshore wind turbine operations.
• Neuromorphic vision technology offers an innovative approach for marine engineering applications.
• This advancement contributes to the development of neuro-robotic systems in ocean engineering.