Neuron adaptive control of a shunt active power filter and its realization of analog circuit

There have been a number of harmonic current detecting methods for the active power filter (APF), including the filtration approach by fixed frequency filters, the composition method of the imaginary and the real power based on the instantaneous reactive power theory, and so on. In this paper, first according to the adaptive noise canceling technology (ANCT) in signal processing, an adaptive detecting approach of harmonic current based on a neuron is presented. Next, on the basis of the configuration and learning algorithm for the developed system, the realization scheme of an analog circuit of the system is discussed. Third, in the light of PSIM software, the computer simulation studies of the circuit are done. Finally, the performance and feasibility of the approach are tested and verified by the simulation results.