DC-Link Voltage Regulation Using RPFNN-AMF for Three-Phase Active Power Filter

IEEE Access

Jun-Hao Chen¹  Faa-Jeng Lin¹  Kuang-Hsiung Tan² 

[1] Department of Electrical Engineering, National Central University, Taoyuan, Taiwan;Department of Electrical and Electronic Engineering, Chung Cheng Institute of Technology, National Defense University, Taoyuan, Taiwan;

关键词: Shunt active power filter;    total harmonic distortion;    asymmetric membership function;    recurrent probabilistic fuzzy neural network;   

DOI  :  10.1109/ACCESS.2018.2851250

来源: DOAJ

【 摘 要 】

Due to the instantaneous power following into or out of the DC-link capacitor in a three-phase shunt active power filter (APF), the DC-link voltage regulation control plays an important role in the shunt APF especially under nonlinear load change. In this paper, for the purpose of improving the DC-link voltage regulation control in the shunt APF under nonlinear load variation and reducing the total harmonic distortion of the current effectively, a novel recurrent probabilistic fuzzy neural network with an asymmetric membership function (RPFNN-AMF) controller is developed to substitute for the conventional proportional-integral controller. Moreover, the network structure, the online learning algorithm, and the convergence analysis of the proposed RPFNN-AMF are detailedly introduced. Finally, the effectiveness and feasibility of the shunt APF using the proposed RPFNN-AMF controller for the DC-link voltage regulation control and the compensation of harmonic current are verified by some experimental results.

【 授权许可】

Unknown