Harmonic-Suppression System Based on Fuzzy Neural Control in Power Line

Sources of interference in power line are summarized. An adaptive approach to suppression of the harmonic currents based on the classical way of harmonic injection and artificial neural network is presented in this paper. The ANN keep in contact with inputs and its weights are adjusted through BP algorithms,its output can vary adaptively with the input. Membership functions of fuzzy neural variables and control rules are shown. The computing load is not very large compared with the traditional methods. It is a new use of the control system based on fuzzy neural control. This method builds a harmonic-suppression system and uses active power filter and power filter to realize power line communication based on ElectroMagnetic Compatibility.