Predictive Current Control of Permanent Magnet Synchronous Motor Based on An Adaptive Internal Model Observer

Minghui Chen, Fengxiang Wang, Long He, Dongliang Ke, Kunkun Zuo, Jose Rodriguez

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

Resumen

An adaptive internal model disturbance observer based control scheme for surface mounted permanent magnet synchronous motor (SPMSM) is proposed in this paper. Firstly, an extended SPMSM model is given by considering the external disturbances and parameter mismatches. Secondly, an adaptive internal model observer is introduced to estimate the disturbances by parameter mismatches in the current loops. Thirdly, based on the observed disturbances, the current scheme that based on the model predictive control is attained. Finally, Simulation results verify the effectiveness of the model predictive current control algorithm based on the AIMO.

Idioma originalInglés
Título de la publicación alojada2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas2567-2571
Número de páginas5
ISBN (versión digital)9781728153018
DOI
EstadoPublicada - 29 nov 2020
Evento9th IEEE International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia - Nanjing, China
Duración: 29 nov 20202 dic 2020

Serie de la publicación

Nombre2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia

Conferencia

Conferencia9th IEEE International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia
País/TerritorioChina
CiudadNanjing
Período29/11/202/12/20

Áreas temáticas de ASJC Scopus

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

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