A New Power Factor Correction Scheme Based on T-type Active Power Filter Using Neural Algorithmic Approach

Abstract

A novel power factor corrector (PFC) topology based on T-type active power filter (APF) is proposed in this paper. The control scheme is based on a decoupled state-space equations of the T-type APF using proportional-integral (PI) controllers in the synchronous reference frame. The fundamental components of load currents are feed-forwarded in the current-loop controller by using synchronous frame adaptive linear neural networks to ensure a fast dynamic response. A separate PI controller is adopted in the outer voltage-loop for balancing the active power flow of the APF DC-side capacitor. The simulation and experimental results are presented, which demonstrate the validity and effectiveness of the proposed system.