Extended Kalman Filter based Encoderless Predictive Current Control for Induction Machine Drives

Haotian Xie, Fengxiang Wang, Yingjie He, Ying Tang, Jose Rodriguez, Ralph Kennel

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

Resumen

Compared with the conventional strategies for electrical drives such as Field Oriented Control (FOC), Predictive Current Control (PCC) shows the superiority of fast dynamic response and low switching frequency. Instead of an encoder, a speed-sensorless algorithm is applied to provide the rotor position for PCC, which reduces the hardware cost and complexity. However, the estimation accuracy is significantly penalized by the parameter deviation, which leads to unsatisfactory control performance like high torque and current ripples. To cope with this problem, an Extended Kalman Filter (EKF) is presented to estimate stator flux and rotor speed in this paper, which improves robustness to parameter variations and achieves high control performance. The steady-state, dynamic transient performance and robustness evaluation of the proposed scheme are experimentally validated on the 2.2kW induction machine (IM) platform. It is indicated that the proposed method shows excellent speed tracking ability and strong robustness to parameter deviations.

Idioma originalInglés
Título de la publicación alojadaProceedings of the Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas865-868
Número de páginas4
ISBN (versión digital)9781728163444
DOI
EstadoPublicada - 24 may. 2021
Publicado de forma externa
Evento12th IEEE Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021 - Virtual, Singapore, Singapur
Duración: 24 may. 202127 may. 2021

Serie de la publicación

NombreProceedings of the Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021

Conferencia

Conferencia12th IEEE Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021
País/TerritorioSingapur
CiudadVirtual, Singapore
Período24/05/2127/05/21

Áreas temáticas de ASJC Scopus

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

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