DocumentCode
601702
Title
Dynamical modeling for series-parallel resonant converter under optimized modulation
Author
Zhiyu Cao ; Junbing Tao ; Frohleke, Norbert ; Bocker, Joachim
Author_Institution
Power Electron. & Electr. Drives, Univ. of Paderborn, Paderborn, Germany
fYear
2013
fDate
17-21 March 2013
Firstpage
1391
Lastpage
1398
Abstract
The series-parallel resonant converter is one of the most popular topologies among resonant converters. In order to achieve a further reduction of transistor switching losses, an optimized modulation strategy was proposed and implemented full digitally. This yields zero-current switching on one full bridge leg and zero-voltage switching on the other leg. Costs of the optimized modulation are the increased complexities in modeling and controller design, because the state-of-the-art extended describing function method is not suitable anymore. In this contribution a novel dynamical modeling for series-parallel resonant converters under optimized modulation is presented, which is based on the sampled-data method. The dynamic interaction between power circuit and the digital optimized modulation control unit is considered properly. Duty-ratio-to-output-voltage small-signal behaviors predicted by the proposed model are verified by circuit simulation and experimental results.
Keywords
PWM power convertors; control system synthesis; optimisation; resonant power convertors; sampled data systems; switching convertors; zero current switching; zero voltage switching; bridge leg switching; controller design; digital optimized modulation control unit; duty ratio to output voltage; dynamic interaction; dynamical modeling; power circuit; sampled data method; series-parallel resonant converter topology; transistor switching losses; zero current switching; zero voltage switching; DC-DC power converters; modeling; pulse frequency modulation; pulse width modulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Applied Power Electronics Conference and Exposition (APEC), 2013 Twenty-Eighth Annual IEEE
Conference_Location
Long Beach, CA
ISSN
1048-2334
Print_ISBN
978-1-4673-4354-1
Electronic_ISBN
1048-2334
Type
conf
DOI
10.1109/APEC.2013.6520481
Filename
6520481
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