A comparison of discrete-time models for model predictive control of induction motor drives

Christian A. Rojas, Juan I. Yuz, Matias Aguirre, Jose Rodriguez

Producción científica: Contribución a los tipos de informe/libroContribución a la conferenciarevisión exhaustiva

16 Citas (Scopus)

Resumen

System modeling and variables estimation are two important task in direct control strategies. In those schemes, the system performance is strongly related with the accuracy of the discrete-time model, especially for time-varying systems, e.g., high-performance motor drive applications. This investigation presents a numerical comparison between several discrete-time models of the induction machine (IM) used in model predictive control (MPC) schemes. The accuracy of each model is evaluated numerically for different speed operation points. The results serve as a preliminary validation to select an accurate discretization method for MPC drive applications.

Idioma originalInglés
Título de la publicación alojada2015 IEEE International Conference on Industrial Technology, ICIT 2015
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas568-573
Número de páginas6
EdiciónJune
ISBN (versión digital)9781479978007
DOI
EstadoPublicada - 16 jun. 2015
Evento2015 IEEE International Conference on Industrial Technology, ICIT 2015 - Seville, Espana
Duración: 17 mar. 201519 mar. 2015

Serie de la publicación

NombreProceedings of the IEEE International Conference on Industrial Technology
NúmeroJune
Volumen2015-June

Otros

Otros2015 IEEE International Conference on Industrial Technology, ICIT 2015
País/TerritorioEspana
CiudadSeville
Período17/03/1519/03/15

Áreas temáticas de ASJC Scopus

  • Informática aplicada
  • Ingeniería eléctrica y electrónica

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