Robust fuzzy scheduler control for WECS subject to sensor faults

In this paper, new fuzzy scheduler fault tolerant control (FSFTC) is proposed to tackle multivariate nonlinear systems subject to sensor faults and parameter uncertainties. The algorithm based on reconfiguration mechanism is then investigated for detection, isolation and accommodation of sensor faults. Takagi-Sugeno (TS) fuzzy model is employed to represent the nonlinear wind energy conversion systems (WECS), and then a model-based fuzzy scheduler controller design uses the concept of Parallel-Distributed Compensation (PDC). Sufficient stability conditions are expressed in terms of Linear Matrix Inequalities (LMIs) which can be solved very efficiently using convex optimization techniques. The design procedures are applied to a dynamics model of typical WECS to illustrate the feasibility and the effectiveness of the proposed control techniques.