Adaptive neural network based harmonic current compensation in active power filter

An advanced active power filter for the compensation of instantaneous harmonic current components in non-linear current load is presented. A signal processing technique using an adaptive neural network algorithm is applied for the detection of harmonic components generated by nonlinear current loads and can efficiently determine the instantaneous harmonic components in real time. The control strategy of the switching signals to compensate the current harmonic of the inverter is also discussed and the switching signals are generated with the space voltage vector modulation scheme. The validity of this active filtering processing system to compensate current harmonics is proved on the basis of simulation results.

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