Predictive torque control of induction machines based on state-space models

Hernán Miranda, Patricio Cortés, Juan I. Yuz, José Rodríguez

Resultado de la investigación: Contribución a una revistaArtículo

339 Citas (Scopus)

Resumen

In this paper, we present a predictive control algorithm that uses a state-space model. Based on classical control theory, an exact discrete-time model of an induction machine with time-varying components is developed improving the accuracy of state prediction. A torque and stator flux magnitude control algorithm evaluates a cost function for each switching state available in a two-level inverter. The voltage vector with the lowest torque and stator flux magnitude errors is selected to be applied in the next sampling interval. A high degree of flexibility is obtained with the proposed control technique due to the online optimization algorithm, where system nonlinearities and restrictions can be included. Experimental results for a 4-kW induction machine are presented to validate the proposed state-space model and control algorithm.

Idioma originalInglés
Páginas (desde-hasta)1916-1924
Número de páginas9
PublicaciónIEEE Transactions on Industrial Electronics
Volumen56
N.º6
DOI
EstadoPublicada - 1 jul 2009

Áreas temáticas de ASJC Scopus

  • Ingeniería de control y sistemas
  • Informática aplicada
  • Ingeniería eléctrica y electrónica

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