Optimized Implementation of a Current Control Algorithm for Multiphase Interleaved Power Converters

Multiphase converters have become an attractive alternative for high-current power converters due to their inherent reduction of semiconductor stress. Additionally, total current ripple frequency can be increased and its amplitude decreased by the phases ripple interleaving. These converters require...

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Detalles Bibliográficos
Autores: Antoszczuk, Pablo Daniel, Garcia Retegui, Rogelio Adrian, Funes, Marcos Alan, Carrica, Daniel Oscar
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2014
País:Argentina
Institución:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositorio:CONICET Digital (CONICET)
Idioma:inglés
OAI Identifier:oai:ri.conicet.gov.ar:11336/34861
Acceso en línea:http://hdl.handle.net/11336/34861
Access Level:acceso abierto
Palabra clave:Field Programmable Gate Arrays
Current Control
Synchronization
Commutation
Power Conversion
https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
Descripción
Sumario:Multiphase converters have become an attractive alternative for high-current power converters due to their inherent reduction of semiconductor stress. Additionally, total current ripple frequency can be increased and its amplitude decreased by the phases ripple interleaving. These converters require a different number of phases and control specifications depending on the application. A wide range of applications imposes challenging requirements in the control algorithm and its implementation, such as digital platforms and resources optimization. A previous proposal presented a current control algorithm developed to provide a solution to the highly demanding constraints present in high-power applications, where short settling times are required when fast transients in the current reference or the load voltage are present. This work presents the implementation of the above-mentioned algorithm and its optimizations, aimed to obtain a modular and efficient design. The proposed implementation and system scalability are evaluated by means of an experimental setup.