A backstepping-based adaptive controller with neural compensator is designed for harmonic suppression in a three-phase active power filter (APF). The fundamental rule of backstepping method is to take some state variables as “virtual controls” and then design intermediate controller. An adaptive neural controller using radial basis function (RBF) is derived to estimate the APF system nonlinearity and strengthen the current’s tracking property and power grid quality. Simulations studies indicate the proposed backstepping-based adaptive neural controller has good current tracking behavior and increased power quality.

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harmonic suppression currents tracking property apf system nonlinearity radial basis function backsteppingbased adaptive controller with neural compensator power grid quality virtual backstepping method current tracking behavior threephase active power filter state variables

Yunmei Fang,Juntao Fei,.Adaptive Backstepping Current Control of Active Power Filter Using Neural Compensator. 2019 (),.

Yunmei Fang,Juntao Fei,"Adaptive Backstepping Current Control of Active Power Filter Using Neural Compensator" 2019

Yunmei Fang,Juntao Fei,"Adaptive Backstepping Current Control of Active Power Filter Using Neural Compensator"