Pseudo-optimal five-level DCC modulation based on machine learning

This paper presents a method for the control design of five-level DCC converters based on mixed-integer optimization and machine learning. The resulting controller is computationally simple and can be easily implemented on low-resource control hardware using simple nested “if-else” statements. The o...

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Detalhes bibliográficos
Autores: Gómez-Estern Aguilar, Fabio, Gordillo, Francisco, Montero - Robina, Pablo, Cuesta Rojo, Federico
Formato: artículo
Fecha de publicación:2023
País:España
Recursos:Universidad Loyola Andalucía
Repositorio:Brújula
OAI Identifier:oai:repositorio.uloyola.es:20.500.12412/5019
Acesso em linha:https://hdl.handle.net/20.500.12412/5019
https://doi.org/10.1016/j.ijepes.2023.109677
Access Level:acceso abierto
Palavra-chave:Diode-clamped converter
Mixed-integer linear optimization
Multilevel converter
Descrição
Resumo:This paper presents a method for the control design of five-level DCC converters based on mixed-integer optimization and machine learning. The resulting controller is computationally simple and can be easily implemented on low-resource control hardware using simple nested “if-else” statements. The optimization problem is recalled from previous work by modifying the cost function to further enhance the dynamic performance. Additionally, and in contrast to previous works, the online implementation accomplished in this paper allows the system to cover a wider range of operating points. For this, the optimization problem is solved offline for several operating conditions, and the results are gathered into a dataset to train classification and regression trees (CARTs), which are later used online. Due to the generalization capability of the CARTs, a more flexible and less resource-intensive implementation is achieved which is capable of operating at points outside the ones considered in the training dataset. The resulting control strategy is compared in simulation and experiments with several alternative approaches found in the literature. This approach can be extended to other power converter topologies, allowing the implementation of optimized modulations