In the last decades, the increasing use of the power electronic devices in space and military applications has led to the reliability analysis of DC-DC power converters. In this paper the design of a quadratic DC-DC converter has been performed in order to improve both reliability and efficiency. The design is performed by the minimization of objective functions using the GA heuristic algorithm, in order to identify the optimum values of the converter parameters that ensure the desired reliability. A complete reliability analysis of the quadratic converter has been done and the proposed design methodology has been demonstrated by simulation.

Reliability and Efficiency Optimization Assisted by Genetic Algorithm to Design a Quadratic Boost DC/DC Converter

Marsala G;Ragusa A
2019

Abstract

In the last decades, the increasing use of the power electronic devices in space and military applications has led to the reliability analysis of DC-DC power converters. In this paper the design of a quadratic DC-DC converter has been performed in order to improve both reliability and efficiency. The design is performed by the minimization of objective functions using the GA heuristic algorithm, in order to identify the optimum values of the converter parameters that ensure the desired reliability. A complete reliability analysis of the quadratic converter has been done and the proposed design methodology has been demonstrated by simulation.
2019
Istituto di iNgegneria del Mare - INM (ex INSEAN)
Inglese
(2019) IEEE International Conference on Industrial Engineering and Engineering Management
(2019) IEEE International Conference on Industrial Engineering and Engineering Management
2019-December
1687
1692
6
9781538667866
http://www.scopus.com/record/display.url?eid=2-s2.0-85061793209&origin=inward
IEEE - Institute of Electrical and Electronics Engineers
Piscataway, N.J.
STATI UNITI D'AMERICA
Sì, ma tipo non specificato
2019-December
Bangkok, Thailand
DC-DC converter efficiency
GA algorithm
optimization algorithm
reliability
renewable energy
2
reserved
Marsala, G; Ragusa, A
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/418576
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