A look-up table-based model predictive torque control of switched reluctance motor drives with improved prediction

Diego F. Valencia, Rasul Tarvirdilu-Asl, Cristian Garcia, Jose Rodriguez, Ali Emadi

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

Resumen

This paper proposes a predictive torque control strategy based on look-up tables with improved delay compensation to enhance prediction capabilities. The tables or static maps contain the flux linkage and torque characteristics of the machine, which provides higher prediction accuracy compared to approximated analytical models. The delay compensation is enhanced by including a Kalman filter stage. The algorithm is validated through simulations and experiments using a 5.5 kW, 12/8 SRM. The results evidenced improved torque sharing capabilities with respect to conventional methods and other predictive control strategies by offering a trade-off between torque ripple production, average torque and average torque per ampere.

Idioma originalInglés
Título de la publicación alojada2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas315-320
Número de páginas6
ISBN (versión digital)9781728175836
DOI
EstadoPublicada - 21 jun 2021
Evento2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021 - Chicago, Estados Unidos
Duración: 21 jun 202125 jun 2021

Serie de la publicación

Nombre2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021

Conferencia

Conferencia2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021
País/TerritorioEstados Unidos
CiudadChicago
Período21/06/2125/06/21

Áreas temáticas de ASJC Scopus

  • Ingeniería automovilística
  • Ingeniería eléctrica y electrónica
  • Control y optimización
  • Transporte

Huella

Profundice en los temas de investigación de 'A look-up table-based model predictive torque control of switched reluctance motor drives with improved prediction'. En conjunto forman una huella única.

Citar esto