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• W2897399657 abstract "In 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 a 2MW wind turbine system." @default.
• W2897399657 created "2018-10-26" @default.
• W2897399657 creator A5010806251 @default.
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• W2897399657 date "2018-01-01" @default.
• W2897399657 modified "2023-10-09" @default.
• W2897399657 title "eMPC Based Fault-tolerant Control for Wind Turbine Converters" @default.
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• W2897399657 doi "https://doi.org/10.1016/j.ifacol.2018.09.560" @default.
• W2897399657 hasPublicationYear "2018" @default.
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