Modulated Model Predictive Control for Induction Motor Drives with Sequential Cost Function Evaluation

Valerio Vodola, Shafiq Odhano, Cristian Garcia, Margarita Norambuena, Silvio Vaschetto, Pericle Zanchetta, Jose Rodriguez, Radu Bojoi

Resultado de la investigación: Contribución a los tipos de informe/libroContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

Sequential model predictive control is a recent innovation in the high-performance control of electric drives. The elimination of weighting factors and associated tuning work is among the biggest advantages of this MPC implementation. The cost function evaluation takes place in two steps with each step narrowing down the choice of optimal voltage vector to be applied at the next switching instant. Like the conventional finite control states MPC, the sequential MPC also has a disadvantage of variable switching frequency. In this paper, this problem is addressed by considering the sequential MPC implementation with a modulator. After two-step cost function evaluation, the optimal and second optimal voltage vectors' duty cycles are computed based on the slope of the controlled variables. This preserves the optimality of the solution while, at the same time, guaranteeing constant switching frequency and reduced current and torque ripples in the drive response.

Idioma originalInglés
Título de la publicación alojada2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas4911-4917
Número de páginas7
ISBN (versión digital)9781728103952
DOI
EstadoPublicada - sep 2019
Evento11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019 - Baltimore, Estados Unidos
Duración: 29 sep 20193 oct 2019

Serie de la publicación

Nombre2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019

Conferencia

Conferencia11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019
País/TerritorioEstados Unidos
CiudadBaltimore
Período29/09/193/10/19

Áreas temáticas de ASJC Scopus

  • Ingeniería mecánica
  • Control y optimización
  • Ingeniería energética y tecnologías de la energía
  • Ingeniería eléctrica y electrónica

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