1. General Method for Synthesizing High Gain Step-Up DC–DC Converters Based on Differential Connections
- Author
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Marcos Antonio Salvador, Roberto F. Coelho, Jessika Melo de Andrade, and Telles Brunelli Lazzarin
- Subjects
Reduction (complexity) ,Voltage polarity ,Power rating ,Duty cycle ,Computer science ,020208 electrical & electronic engineering ,0202 electrical engineering, electronic engineering, information engineering ,Electronic engineering ,Topology (electrical circuits) ,02 engineering and technology ,Electrical and Electronic Engineering ,Converters ,Voltage - Abstract
This article introduces a powerful methodology to synthesize high gain step-up dc–dc converters from differential connections of two converters. The two selected converters may be either equal or different, and they can use different kinds of gain cells. Both only have to present a common reference between the input and output voltages and the same output voltage polarity. The proposed differential connection supplies high step-up converters and mainly the method can be applied to synthesize different topologies from different well-known converters. Besides the derivation and analysis of some converters in continuous conduction mode, the article also discusses the power processing, reduction of components, addition of gain cells to further increase the gain, different kinds of modulations, and addresses a different point of view for some topologies previously published in literature. The proposed methodology is verified through thirteen prototypes derived from basic converters considering input voltage of 20 V, duty cycle of 0.75, switching frequency of 50 kHz and rated power of 100 W. Moreover, three new ultrahigh gain dc–dc converters are still derived from the insertion of gain cells in the differential converters herein proposed. These three converters are experimentally evaluated under input voltages of 20 and 30 V, rated power of 200 W and, switching frequency of 50 kHz, providing static gains from 15 up to 30, and peak efficiency of 96.78%.
- Published
- 2020
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