Fault Detection and Diagnosis of Multilevel Inverter Using Neural Network
نویسندگان
چکیده
Multilevel inverter (MLI) has emerged as a key player in medium and high voltage application due to its tremendous popularity in reduced voltage stress across the power switches and low total harmonic distortion in output waveform. MLI requires large amount of power switches to perform conversion as compared to conventional converter. In MLI, as the number of levels increase number of switches also increase, so the probability of fault also goes on increasing with addition of power switches in converter. This paper proposes a modified switch-ladder multilevel inverter topology with fault tolerant capacity. Fault tolerance is achieved by the inner redundancy of the modified circuit and for fault detection neural network has been applied. After locating the faulty switch a suitable reconfiguration of control strategy is performed. The detailed simulation and analysis is done using MATLAB/SIMULINK. Keywords— Multilevel inverter; neural network; switch-ladder; redundanc; fault analysis.
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