DocumentCode :
1775527
Title :
Adaptive fuzzy backstepping control of three-phase active power filter
Author :
Juntao Fei ; Shixi Hou ; Yuncan Xue ; Mingang Hua
Author_Institution :
Coll. of IOT Eng., Hohai Univ., Changzhou, China
fYear :
2014
fDate :
18-20 June 2014
Firstpage :
1001
Lastpage :
1006
Abstract :
An adaptive fuzzy backstepping controller (AFBC) is proposed for three-phase active power filter (APF) in this paper. To deal with the nonlinearity of APF, the AFBC is developed by combining the backstepping method with adaptive fuzzy strategy in the design of current tracking control system. Fuzzy logic system is designed to estimate the unknown nonlinear function in the AFBC where the parameters are adjusted online by the adaptive law derived from the Lyapunov stability analysis. The proposed backstepping controllers can ensure proper tracking of the reference current, and impose a desired dynamic behavior, giving robustness and insensitivity to parameter variations. Simulation studies using MATLAB/SimPower Systems Toolbox demonstrate the high performance of the proposed fuzzy backstepping control strategy.
Keywords :
Lyapunov methods; active filters; adaptive control; control nonlinearities; fuzzy control; power filters; stability; AFBC; APF; Lyapunov stability analysis; adaptive fuzzy backstepping control; adaptive law; dynamic behavior; fuzzy logic system; three-phase active power filter; tracking control system; unknown nonlinear function; Active filters; Adaptive systems; Backstepping; Control systems; Fuzzy control; Harmonic analysis; Power harmonic filters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control & Automation (ICCA), 11th IEEE International Conference on
Conference_Location :
Taichung
Type :
conf
DOI :
10.1109/ICCA.2014.6871057
Filename :
6871057
Link To Document :
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