Discussion on control methods with finite-control-set concept for PMSM drives

Zhenkun Zhang, Zhenbin Zhang, Cristian Garcia, Jose Rodriguez, Weiqing Huang, Ralph Kennel

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

3 Citas (Scopus)

Resumen

This work closely investigates the generalized relationship among the four popular control methods using Finite-Control-Set Model Predictive Control (FCS-MPC)concept for voltage source power converter fed PMSM drivers. The as-investigated control methods include: direct model predictive torque control (DMPTC)in dq frame, direct model predictive current control (DMPCC)in dq frame, direct model predictive current control (DMPCC)in \alpha\beta frame and direct model predictive flux control (DMPFC)in \alpha\beta frame. Our conclusion is that, for nonsaliency based PMSM, DMPTC, DMPCC (both in \alpha\beta and dq frames), DMPFC are theoretically equivalent in achieving the control targets. However, realization effort and computational demands, i.e., the amount calculation required, are different.

Idioma originalInglés
Título de la publicación alojada2019 IEEE International Electric Machines and Drives Conference, IEMDC 2019
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas1718-1723
Número de páginas6
ISBN (versión digital)9781538693490
DOI
EstadoPublicada - 1 may 2019
Evento11th IEEE International Electric Machines and Drives Conference, IEMDC 2019 - San Diego, Estados Unidos
Duración: 12 may 201915 may 2019

Serie de la publicación

Nombre2019 IEEE International Electric Machines and Drives Conference, IEMDC 2019

Conferencia

Conferencia11th IEEE International Electric Machines and Drives Conference, IEMDC 2019
País/TerritorioEstados Unidos
CiudadSan Diego
Período12/05/1915/05/19

Áreas temáticas de ASJC Scopus

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

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