Load mitigation in floating wind turbines via active tuned mass damper using a physics-informed neural network based controller

Key Points

• Load mitigation is achieved effectively through the active tuned mass damper, improving turbine reliability.
• The physics-informed neural network-based controller significantly optimizes performance, reducing structural stress.
• Observational analysis presents a novel application of innovative technology to improve floating wind turbine functionality.
• Implications suggest that implementing this controller may enhance the durability and efficiency of future offshore wind installations.