Optimal Operation of the Voltage-Doubler Boost Converter through an Evolutionary Algorithm
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Fecha
2021-02
Autores
Ibarra-Nuño, Cesar
Alejo-Reyes, Avelina
Cuevas, Erik
Ramirez, Juan M.
Rosas-Caro, Julio C.
Robles-Campos, Héctor R.
Rodríguez-Vázquez, Alma N.
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Editor
MDPI
Resumen
Descripción
This manuscript presents the numerical optimization (through a mathematical model and
an evolutionary algorithm) of the voltage-doubler boost converter, also called the series-capacitor
boost converter. The circuit is driven by two transistors, each of them activated according to a
switching signal. In the former operation, switching signals have an algebraic dependence from each
other. This article proposes a new method to operate the converter. The proposed process reduces
the input current ripple without changing any converter model parameter, only the driving signals.
In the proposed operation, switching signals of transistors are independent of each other, providing
an extra degree of freedom, but on the other hand, this produces an infinite number of possible
combinations of duty cycles (the main parameter of switching signals) to achieve the desired voltage
gain. In other words, this leads to a problem with infinite possible solutions. The proposed method
utilizes an evolutionary algorithm to determine the switching functions and, at the same time, to
minimize the input current ripple of the converter. A comparison made between the former and the
proposed operation shows that the proposed process achieves a lower input current ripple while
achieving the desired voltage gain.
Palabras clave
Metaheuristic Optimization, Evolutionary Algorithm, Mathematical Model, Series-capacitor Boost Converter
Citación
Ibarra-Nuño, C.; Rodríguez-Vázquez, A.N.; Alejo-Reyes, A.; Cuevas, E.; Ramirez, J.M.; Rosas-Caro, J.C.; Robles-Campos, H.R. Optimal Operation of the Voltage-Doubler Boost Converter through an Evolutionary Algorithm. Mathematics 2021, 9, 423. https://doi.org/10.3390/math9040423