Title :
Decoupling control of three-phase shunt active power filter based on neural network inverse
Author :
Yang Chenxing ; Liu Guohai ; Chen Zhaoling
Author_Institution :
Coll. of Electr. & Inf. Eng., Jiangsu Univ., Zhenjiang, China
Abstract :
This paper proposes a new control method for three-phase shunt active power filter (SAPF) by applying neural network inverse (NNI). The key of the proposed method is to decouple the SAPF system under the synchronous orthogonal d-q frame into two one-order linear subsystems, which concern the compensation current components. In addition, the linear closed-loop controllers are designed, respectively, for two compensation current components. Simulated results verify that by adopting the proposed method, the system has both good steady-state and dynamic performances. After the compensation, the total harmonic distortion (THD) of the power source currents in steady state is reduced from 25.57% to 1.23%.
Keywords :
closed loop systems; compensation; control system synthesis; harmonic distortion; linear systems; neurocontrollers; power harmonic filters; power system control; SAPF; THD; compensation current components; decoupling control; dynamic performance; linear closed-loop controller design; neural network inverse; one-order linear subsystems; steady-state performance; synchronous orthogonal d-q frame; three-phase shunt active power filter; total harmonic distortion; Active filters; Artificial neural networks; Biological neural networks; Control systems; Mathematical model; Steady-state; decoupling control; linear closed-loop controller; neural network inverse (NNI); proportional-integral controller (PIC); radical basis function neural network (RBFNN); three-phase shunt active power filter (SAPF);
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an
