DocumentCode :
665863
Title :
Improved steady state and transient behavior of static power converters by means of an operating mode identifier algorithm
Author :
Maurelia, Eduardo ; Espinoza, Jose ; Ramirez, Ricardo ; Reyes, Mauricio ; Melin, Patricia ; Silva, C.A. ; Munoz, J.
Author_Institution :
Electr. Eng. Dept., Concepcion Univ., Concepcion, Chile
fYear :
2013
fDate :
10-13 Nov. 2013
Firstpage :
870
Lastpage :
875
Abstract :
Nowadays Finite-Control-Set Model Predictive Control (FCS-MPC) is being successfully used in static power converters. The algorithm requires defining a functional in order to optimize it and thus find the best switch combination. So far the functional optimizes either the steady state or the transient operation. In fact, for steady state operation, the minimization of the switching frequency as well as high quality waveforms are the basic objectives. Contrary, during transient conditions the settling time minimization is usually used as a basic objective. This work presents an algorithm that is able to detect if the system is either under steady state or transient operating mode and applies the appropriate control algorithm. Hence, both operating modes are controlled under optimum conditions. Simulated results show the performance of the proposed control scheme.
Keywords :
PWM power convertors; electric current control; frequency control; predictive control; FCS-MPC; current control; finite-control-set model predictive control; high quality waveform minimization; improved steady state behavior; improved transient behavior; operating mode identifier algorithm; settling time minimization; static power converters; switch combination; switching frequency minimization; Hysteresis; Load modeling; Predictive control; Steady-state; Switches; Switching frequency; Transient analysis; current control; predictive control; steady state identification; transient identification;
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.2013.6699248
Filename :
6699248
Link To Document :
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