RBF Neural Network Controller In Shunt Active Power Filter

Performance Improvement of Shunt active Power filter using different control techniques is an important research area in the recent age. This paper explores the effectiveness of Radial Basis Function Neural Network controller filtering technique in Conjunction with indirect current controller and proportional Integral. Extensive simulation studies under steady state condition are conducted with the proposed control Techniques, which proves the effectiveness of RBF controller, To validate the results obtained, Control technique is verified through real time application using fast processor d-SPACE1104.

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