The design of an intelligent fault-tolerant control for floating offshore wind turbine with blade faults

The great efficiency and deep-sea suitability of floating offshore wind turbines (FOWTs) have led to their rapid development. It is also extremely difficult to regulate FOWTs. Two major obstacles are the increased component failure rate and the difficulty of accurately modelling FOWTs. For that reason, this study suggests a model-free adaptive fault-tolerant control strategy to deal with problems caused by blade root moment sensors. In order to sidestep the need to mathematically describe FOWT, a fault compensation and individual pitch controller are developed using a model-free adaptive control technique. Instead of requiring fault detection and isolation, the suggested fault-tolerant control scheme turns fault dynamic compensation into a nonlinear system's control issue that has to be solved in real-time. By simulating and testing the suggested control method using FAST, we find that it not only keeps the wheel's bearing load balanced, but it also greatly reduces the FOWT's bearing load and the floating platform's movement. Also, the strategy's great fault tolerance capabilities under numerous blade root moment sensor failures is confirmed by the fact that the output power is closer to the rated power.

Methods
Offshore wind turbines (FOWTs) have grown significantly due to their deep sea suitability and high power generating efficiency. However, FOWT control is challenging. FOWT modelling accuracy and component failure rates are the key issues. This research suggests a model-free adaptive fault-tolerant control strategy for blade root moment sensor failures. Using model-free adaptive control, an individual pitch controller and fault compensator are created to circumvent mathematical modelling of FOWT. Our fault-tolerant control technique eliminates the requirement for fault detection and isolation, turning fault dynamic compensation into a real-time issue for nonlinear systems. FAST simulations demonstrate that the proposed control technique effectively balances wheel bearing load, reduces floating platform movement, and greatly reduces FOWT bearing load. Additionally, the strategy's output power is close to the rated power, demonstrating remarkable fault tolerance with numerous blade root moment sensor failures.