Detection Method of Harmonic Current for Adaptive Active Power Lattice Filter

High real-time precision of harmonic current detection is vital for the performance of active power filter (APF).In this paper linear neural network was applied to adaptive noise cancellation technology,and the neural network was trained by least mean square (LMS) algorithm.Thus the adaptive lattice filter was realized with better real-time performance and robustness than traditional filler.Each neuron processes fundamental and harmonic signals in parallel to predict and filter the high harmonic currents.Simulation and experimental results show that the new adaptive lattice detection method has a better precision and real-time performance.After compensation,5th and 7th harmonic current is obviously reduced.Therefore,APF has better compensation effect than traditional solution.