Model-based fault diagnosis of wind turbines built on Takagi-Sugeno fuzzy observers

Unknown input Takagi-Sugeno fuzzy observer and H-infinity Takagi-Sugeno fuzzy observer techniques are utilized to generate fault residuals for fault diagnosis of wind turbines. To ensure the stability of the Takagi-Sugeno fuzzy observers error dynamics and to attenuate impact from disturbances, the linear matrix inequality approach is used to design the fuzzy observer parameters and disturbance decoupling. In consequence, simulating the designed fault detection implementation demonstrates main functionalities of the proposed approach.