FCS-Model Predictive Control of a Quadratic Buck Converter for more Efficient Data Centers

Shirin Azadi, F. Flores-Bahamonde, S. Alireza Davari, C. A. Torres-Pinzon, Andrii Chub, J. Rodriguez

Producción científica: Contribución a los tipos de informe/libroContribución a la conferenciarevisión exhaustiva

Resumen

The energy consumption in Data Centers is increasing faster in the last few years, due to the IoT and big data world market impact. This research applies the finite control set model predictive control (FCS-MPC) to a single-switch quadratic buck converter (QBC) for future data centers. The FCS-MPC can solve the stability problem of QBC without any need for linearization. Designing a stable controller is a challenge, especially in the case when a constant power load is fed. Two control objectives of the proposed controller are voltage and current regulation. Both objectives are satisfied by the proposed method. Fast dynamic response and performance in a wide range of operating points are achieved by this method. The proposed method is verified by PSIM simulations.

Idioma originalInglés
Título de la publicación alojadaCPE-POWERENG 2023 - 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9798350300048
DOI
EstadoPublicada - 2023
Evento17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2023 - Tallinn, Estonia
Duración: 14 jun. 202316 jun. 2023

Serie de la publicación

NombreCPE-POWERENG 2023 - 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering

Conferencia

Conferencia17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2023
País/TerritorioEstonia
CiudadTallinn
Período14/06/2316/06/23

Áreas temáticas de ASJC Scopus

  • Ingeniería energética y tecnologías de la energía
  • Ingeniería eléctrica y electrónica
  • Seguridad, riesgos, fiabilidad y calidad

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