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

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

Resultado de la investigación: Contribución a los distintos tipos de conferenciaArtículorevisión exhaustiva

12 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
Páginas568-573
Número de páginas6
DOI
EstadoPublicada - 16 jun 2015
Evento2015 IEEE International Conference on Industrial Technology, ICIT 2015 - Seville, Espana
Duración: 17 mar 201519 mar 2015

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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