DocumentCode :
2466072
Title :
Simplified model predictive control for a shunt active power filter
Author :
Xiao-gang, Wang ; Yun-xiang, Xie ; Ding-xin, Shuai
Author_Institution :
Electr. Power Coll., South China Univ. of Technol., Guangzhou
fYear :
2008
fDate :
15-19 June 2008
Firstpage :
3279
Lastpage :
3283
Abstract :
This paper presents a simplified model predictive control (MPC) method for a shunt active power filter. The difference equation is accepted as predictive model, feedback correction and dynamic optimization in conventional MPC are reserved, and the optimal control law is deduced. A comparison between predictive current control and the proposed controller is made; a conclusion that predictive current control with supply voltage observer is only a special case of MPC is drawn. A larger modeling error allowance of connection reactor than predictive current control is obtained by modifying the MPC parameters, the controller has high robustness and the band-pass filter used in predictive current control and conventional MPC is omitted. The relations between the MPC parameters and supply current´s total harmonic distortion as well as tracking error are analyzed through simulations; the simulation results also verify the validity of the proposed method.
Keywords :
active filters; difference equations; electric current control; harmonic distortion; observers; optimal control; power harmonic filters; predictive control; robust control; bandpass filter; connection reactor; controller robustness; difference equation; error allowance; optimal control; shunt active power filter; simplified model predictive control; total harmonic distortion; Active filters; Analytical models; Current control; Current supplies; Difference equations; Feedback; Optimal control; Predictive control; Predictive models; Shunt (electrical);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics Specialists Conference, 2008. PESC 2008. IEEE
Conference_Location :
Rhodes
ISSN :
0275-9306
Print_ISBN :
978-1-4244-1667-7
Electronic_ISBN :
0275-9306
Type :
conf
DOI :
10.1109/PESC.2008.4592459
Filename :
4592459
Link To Document :
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