Please use this identifier to cite or link to this item: https://dspace.upt.ro/xmlui/handle/123456789/7083
Title: Evolutionary Algorithm Based On Soft Computing Techniques Used in Forward Converter for Sustainable Applications and Energy Factor Approach [articol]
Authors: Dheeraj, Alagu
Rajini, V.
Subjects: Active Clamp
Forward Converter
Current Double Rectifier
Energy Factor
DC-DC Modeling
PI controller
Particle Swarm Optimization algorithm
Self-Driven Synchronous Rectifier
Whale Optimization Algorithm
Issue Date: 2019
Publisher: Timișoara : Editura Politehnica
Citation: Dheeraj,Alagu; Rajini,V.: Evolutionary Algorithm Based On Soft Computing Techniques Used in Forward Converter for Sustainable Applications and Energy Factor Approach. Timişoara: Editura Politehnica, 2019.
Series/Report no.: Journal of Electrical Engineering;Vol 19 No 2
Abstract: Many sophisticated ac/dc or dc/ac converters with varied degrees of complexities are available for low voltage, high current applications like photovoltaic cells, fuel cells, hybrid electric vehicles, telecommunication power supplies and battery chargers., In dc-dc, converters like buck, boost, buck-boost are widely used. In this paper, the mathematical modeling based on various energy parameters like stored energy, pumped energy, and time constant, damping constant is done and analysis are carried out on isolated forward converter with self- driven synchronous rectifier with current double rectifier. The isolated forward converter suits the requirements of the above said applications. Also, the performance of the converter is analyzed with a controller whose parameters are selected using conventional tuning method and soft computing approach like particle swarm and whale optimization techniques.
URI: https://dspace.upt.ro/xmlui/handle/123456789/7083
ISSN: 1582-4594
Appears in Collections:Articole științifice/Scientific articles

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