Fuzzy Scheduler Fault Tolerant Control method for WES subject to instrument faults

In this paper, a new Fuzzy Scheduler Fault Tolerant Controller (FSFTC) is proposed for nonlinear systems subject to sensor faults, actuator faults, parameter uncertainties, and wind disturbance. By establishing the actuator fault and sensor fault models, an observer based fuzzy output feedback fault tolerant controller is developed and the stability conditions are established with Lyapunov theory conditions of the fuzzy fault tolerant control, which are formulated in terms of linear matrix inequalities (LMIs) and linear matrix equalities (LMEs). The algorithm based on reconfiguration mechanism for detection and isolation the faults using bank of observers and unknown input observers (UIO). Takagi-Sugeno (T-S) fuzzy model is employed to represent the nonlinear wind energy systems (WES), and then a model based fuzzy scheduler controller design uses the concept of General-Distributed Compensation (GDC). The design procedures are applied to a dynamics model of typical WES to illustrate the effectiveness of the proposed control technique.