DocumentCode :
666626
Title :
A novel hybrid finite control set model predictive control scheme with reduced switching
Author :
Ramirez, Roberto O. ; Espinoza, Jose R. ; Villarroel, Felipe A. ; Maurelia, Eduardo A. ; Reyes, Marcelo E. ; Espinosa, Eduardo E.
Author_Institution :
Dept. of Electr. Eng., Univ. of Concepcion, Concepcion, Chile
fYear :
2013
fDate :
10-13 Nov. 2013
Firstpage :
5770
Lastpage :
5775
Abstract :
This work presents a new control scheme based on a finite states model predictive control aimed to fix the switching frequency and to reduce the spectrum dispersion on the output variables of static converters while regulating the sate variables as required by the references. These topics are particularly important in the operation of power converters including filters with resonant modes and in the overall efficiency due to the switching losses. The proposed scheme allows obtaining continuous outputs from the optimization process of MPC, thus exploiting the advantages of modulated schemes like known spectrum and fixed switching frequency. Simulated results show the proper performance of the proposed scheme, without significant reduction on the dynamic response in comparison to previous schemes using direct, non-modulated outputs.
Keywords :
dynamic response; optimisation; power filters; predictive control; resonant power convertors; switching convertors; MPC optimization process; dynamic response reduction; finite state model predictive control; fixed switching frequency; hybrid finite control set model predictive control scheme; output variables; power converters; reduced switching; resonant modes; spectrum dispersion reduction; static converters; switching frequency; switching losses; Frequency modulation; Predictive control; Predictive models; Rectifiers; Switches; Switching frequency; Predictive Control; fixed switching frequency;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location :
Vienna
ISSN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2013.6700080
Filename :
6700080
Link To Document :
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