A backstepping-based adaptive controller with neural compensator is designed for harmonic suppression in a three-phase active\npower filter (APF).Thefundamental rule of backsteppingmethod is to take some state variables as â??virtual controlsâ? and then design\nintermediate controller. An adaptive neural controller using radial basis function (RBF) is derived to estimate the APF system\nnonlinearity and strengthen the currentâ??s tracking property and power grid quality. Simulations studies indicate the proposed\nbackstepping-based adaptive neural controller has good current tracking behavior and increased power quality.
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