DocumentCode
2451789
Title
Generalized Fuzzy Proportional Integral Control for Harmonic Current Compensation in Hybrid Active Power Filers
Author
Junling, Chen ; Yaohua, Li
Author_Institution
Inst. of Electr. Eng., Chinese Acad. of Sci., Beijing, China
Volume
1
fYear
2010
fDate
16-17 Dec. 2010
Firstpage
217
Lastpage
220
Abstract
A traditional proportional integral (PI) regulator has a long history of use, but has the disadvantage of a steady state error if the reference is a periodic signal. This paper proposes a novel generalized fuzzy proportional integral tracking control for periodic signal. The controller has three control units: proportional control unit, general integral control unit and fuzzy adjustor unit. The controller achieves dynamic response by using the proportional control unit and minimizes the steady state error for periodic reference signal and periodic disturbances by using the general integral control unit. The parameters of proportional control unit and general integral control unit are adjusted through the fuzzy adjustor unit to get well adaptive abilities and well robustness. This controller is used to track compensation harmonic current in hybrid active power filters (HAPF). The steady state and dynamic experiment waveforms were gotten in a laboratory prototype, rated at 10kVA. Experiment results proved the feasibility and validity of the novel control strategies.
Keywords
PI control; active filters; dynamic response; fuzzy control; power harmonic filters; dynamic response; fuzzy adjustor unit; general integral control unit; generalized fuzzy proportional integral control; harmonic current compensation; hybrid active power filters; periodic reference signal; proportional control unit; Active filters; Harmonic analysis; Power filters; Power harmonic filters; Proportional control; Steady-state; fuzzy control; hybrid active power filter; proportional integral;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-9247-3
Type
conf
DOI
10.1109/GCIS.2010.256
Filename
5708747
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