摘要：AbstractIn this paper, we present a novel active fault-tolerant control (FTC) methodology for wind turbines, which minimizes the economic cost of the turbine by achieving two broad objectives: power maximization and fatigue reduction possibly under the effect of bias faults in converters. The proposed FTC system is composed of two modules: fault diagnosis and controller reconfiguration. We develop the latter module using a model-predictive control (MPC) scheme where the constraints set of the decision variables is not convex. The novelty of the proposed scheme lies in the transformation of the non-convex optimization problem into a convex problem using some new decision variables. The fault diagnosis algorithm is based on an unknown-input-residual generator which extracts the complete information of the fault. This fault information is then used to update in real-time the constraints of the MPC to ensure the system availability. The effectiveness of the developed scheme is demonstrated on a2MWwind turbine system.
关键词：KeywordsFault-tolerant controlfault diagnosisrenewable energy systemswind turbinesmodel-predictive control
