DocumentCode :
582846
Title :
Design and comparison of optimization control strategy for three-phase shunt APF
Author :
Yuan-jie, Rong ; Chang-bo, Xu ; Chun-wen, Li
Author_Institution :
State Grid Mater. Co., Ltd., Beijing, China
fYear :
2012
fDate :
25-27 July 2012
Firstpage :
7556
Lastpage :
7561
Abstract :
To make the control strategy design concise and easy to practical application. Based on a linear three-phase shunt Active Power Filter (APF) model, the Linear Quadratic Regulator (LQR) is utilized to obtain the optimal state feedback control rate. To improve the stable performance of the system, the optimal state feedback control combines with an output integral feedback loop to construct an optimal Proprotional-Integral (PI) regulator. Additionally, the differences between those two control strategies are analyzed in detail. Simulation results are demonstrated to verify that those two control strategies can be applied in three-phase shunt active power filter well and own fast response. Moreover, the results show that in suppression of low frequency harmonics, the performance of the optimal PI regulator is better than the optimal state feedback controller.
Keywords :
PI control; active filters; control system synthesis; harmonics suppression; linear quadratic control; optimisation; power filters; state feedback; LQR; PI regulator; linear quadratic regulator; linear three-phase shunt active power filter model; low frequency harmonics suppression; optimal proprotional-integral regulator; optimal state feedback control rate; optimization control strategy design; output integral feedback loop; three-phase shunt APF model; Active filters; Current control; Electronic mail; Industrial electronics; Power electronics; Regulators; State feedback; LQR; current tracking; harmonic; optimal PI regulator; shunt APF;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
ISSN :
1934-1768
Print_ISBN :
978-1-4673-2581-3
Type :
conf
Filename :
6391280
Link To Document :
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