Loss Behavioral Modeling for Ferrite Inductors
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- @InProceedings{DiCapua:2018:SMACD,
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author = "Giulia {Di Capua} and Nicola Femia and
Kateryna Stoyka",
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booktitle = "2018 15th International Conference on Synthesis,
Modeling, Analysis and Simulation Methods and
Applications to Circuit Design (SMACD)",
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title = "Loss Behavioral Modeling for Ferrite Inductors",
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year = "2018",
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abstract = "This paper presents a new behavioural model of AC
power loss for Ferrite Power Inductors (FPIs) used in
Switch-Mode Power Supply (SMPS) applications, including
the effects of saturation. The model has been
identified by means of a genetic programming algorithm
and a multi-objective optimization technique, given a
large sets of power loss experimental measurements. The
proposed AC power loss model uses the voltage and
switching frequency imposed to the inductor as input
variables, while the DC inductor current is used as a
parameter expressing the impact of saturation.
Experimental results prove the reliability of the power
loss predictions for FPIs, also by correctly accounting
for the impact of saturation.",
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/SMACD.2018.8434859",
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month = jul,
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notes = "Also known as \cite{8434859}",
- }
Genetic Programming entries for
Giulia Di Capua
Nicola Femia
Kateryna Stoyka
Citations