Active fault tolerant control of a wind turbine via T-S fuzzy model predictive control

This paper proposes an approach to active fault tolerant control (AFTC) of a variable-speed wind turbine subject to single or simultaneous multiple sensor faults. Both analytical and hardware redundancies are used in this approach. A fault estimation observer is proposed for the pitch and generator subsystems. A Takagi-Sugeno (T-S) fuzzy observer is designed as the fault detection and isolation (FDI) unit for the nonlinear drive train subsystem. Meanwhile, a control scheme combining model predictive control (MPC) with T-S fuzzy modeling is proposed to control the nonlinear wind turbine system and take into account the system constraints.