In this paper, a method for the reconfiguration of the operation of DC-DC boost converters is proposed using sliding mode observers (SMOs). Open and high gain sensor faults are analyzed. The reconfiguration strategy involves mainly a fault detection and identification stages. In the fault detection stage, a SMO is designed for generating a residual and in the fault identification stage, an algorithm using neural network with pattern recognition is proposed. Two auxiliary SMO are used to estimate the sensor outputs to provide a proper feedback signal to keep the system stable in case of occurrence of fault. Simulation results of a DC-DC boost converter in the presence of faults illustrate the efficiency of reconfiguration strategy.
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