MODEL-FREE ADAPTIVE FAULT-TOLERANT CONTROL STRATEGY FOR FLOATING OFFSHORE WIND TURBINES
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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维普
