Neural network based Fault Tolerant System for Cascaded Multilevel Inverters


Neural network based Fault Tolerant System for Cascaded Multilevel Inverters


Multilevel inverter (MLI) has emerged as a key player in medium and high voltage applications due to its tremendous popularity in reduced voltage stress across the power switches and low total harmonic distortion in the output waveform. MLI requires a large number of power switches to perform conversion as compared to the conventional converter. In MLI, as the number of levels increases the number of switches also increases, so the probability of fault also goes on increasing with the addition of power switches in the converter. This video explains the modified switch-ladder multilevel inverter topology with Neural network based Fault Tolerant System. Fault Tolerant System 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.

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