To address the challenges posed by the complex modeling and high failure rates caused by the motion of floating platforms and harsh offshore conditions in floating offshore wind turbines(FOWT),a model-free adaptive active fault-tolerant control strategy is proposed,eliminating the need for mathematical modeling of FOWT.The strategy consists of a fault intelligent diagnosis system and a fault adaptive compensation system.The fault intelligent diagnosis system employs a convolutional neural network model to extract spatial features from time-series signals,completing intelligent fault diagnosis.The fault compensation system utilizes a model-free adaptive control strategy,converting the dynamic compensation process into a real-time control problem of a nonlinear system.It achieves this by solving compensation factors in real-time to handle and recover from various faults.This approach effectively reduces controller development costs and avoids modeling errors.Simulation experiments are conducted under multiple fault scenarios,validating the fault-tolerant capability of the proposed control strategy.It not only maintains a balanced load on the rotor blades but also reduces tower loads.
offshore wind powerwind turbinesindividual pitch controlfault-tolerant controlmodel-free adaptive control
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