Fault-Tolerant Control design for a large off-shore wind turbine using Fuzzy Gain-Scheduling and Signal Correction

This paper presents a novel scheme in designing a Fault Detection and Diagnosis (FDD) and Fault-Tolerant Control (FTC) scheme for the Challenge on Wind Turbine FDD and FTC benchmark proposed in [1] for a large off-shore wind turbine. The proposed scheme is based on a Fuzzy Gain Scheduling (FGS) technique and an Automatic Signal Correction (ASC) algorithm. The FTC system exploits the fault information from a model-based FDD scheme developed using fuzzy modeling and identification method. The proposed FTC system is evaluated by a series of simulations on the wind turbine benchmark model in the presence of wind turbulences, measurement noises, and different realistic fault scenarios. All results indicate high effectiveness and robustness of the FTC system in both fault-free and faulty operations of the wind turbine.