Abstract

In this paper, an approach for robust sensor fault reconstruction of wind turbine systems in the presence of simultaneous uncertainty and disturbance is proposed. For this purpose, an adaptive sliding mode observer is designed such that the fault is reconstructed through an online adaptive law. The significance of the proposed approach in addition to its robustness against the bounded disturbances and uncertainties is that it does not require the fault and uncertainty bounds to be known a priori. An efficient algorithm is presented to adjust the design parameters based on the Linear Matrix Inequality (LMI) concept. The proposed approach is applied to a 5 MW wind turbine system and simulation results demonstrate the accuracy and desirable performance of the approach.