scholarly journals Adaptive Neural Control of Active Power Filter Using Fuzzy Sliding Mode Controller

IEEE Access ◽  
2016 ◽  
Vol 4 ◽  
pp. 6816-6822 ◽  
Author(s):  
Tengteng Wang ◽  
Juntao Fei
2019 ◽  
Vol 9 (16) ◽  
pp. 3383 ◽  
Author(s):  
Fei ◽  
Wang ◽  
Cao

An adaptive fractional-order fuzzy control method for a three-phase active power filter (APF) using a backstepping and sliding mode controller is developed for the purpose of compensating harmonic current and stabilizing the DC voltage quickly. The dynamic model of APF is changed to an analogical cascade system for the convenience of the backstepping strategy. Then a fractional-order sliding mode surface is designed and a fuzzy controller is proposed to approximate the unknown term in the controller, where parameters can be adjusted online. The simulation experiments are conducted and investigated using MATLAB/SIMULINK software package to verify the advantage of the proposed controller. Furthermore, the comparison study between the fractional-order controller and integer-order one is also conducted in order to demonstrate the better performance of the proposed controller in total harmonic distortion (THD), a significant index to evaluate the current quality in the smart grid.


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