Power converter's optimisation and design. Discrete cost function with genetic based algorithms

A genetic algorithm with discrete cost functions is used to design and optimise a 42 V-14 V/8 A buck converter. The use of discrete and continuous cost functions are confronted. Discrete cost functions produces better designs. Electrical time domain simulation is used for verification. Experimental...

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Bibliographic Details
Published in2005 European Conference on Power Electronics and Applications : 11-14 September 2005 pp. 7 pp. - P.7
Main Authors Helali, H., Bergogne, D., Ben Hadj Slama, J., Morel, H., Bevilacqua, P., Allard, B., Brevet, O.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
Algorithm design and analysis
Breakdown voltage
Buck converters
Constraint optimization
Cost function
Design
Design optimization
Discrete costs function
Genetic algorithms
Genetic based algorithms
Interpolation
MOSFET circuits
Optimisation
Power converter
Temperature
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ISBN9789075815092
9075815093
DOI10.1109/EPE.2005.219520

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Summary:A genetic algorithm with discrete cost functions is used to design and optimise a 42 V-14 V/8 A buck converter. The use of discrete and continuous cost functions are confronted. Discrete cost functions produces better designs. Electrical time domain simulation is used for verification. Experimental measurement, electrical and thermal, validates the design.
ISBN:9789075815092
9075815093
DOI:10.1109/EPE.2005.219520