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

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

Resultado de la investigación: Article

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

Huella dactilar

Torque control
Stators
Torque
Fluxes
Control theory
Cost functions
Sampling
Electric potential

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

Citar esto

Miranda, Hernán ; Cortés, Patricio ; Yuz, Juan I. ; Rodríguez, José. / Predictive torque control of induction machines based on state-space models. En: IEEE Transactions on Industrial Electronics. 2009 ; Vol. 56, N.º 6. pp. 1916-1924.
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Predictive torque control of induction machines based on state-space models. / Miranda, Hernán; Cortés, Patricio; Yuz, Juan I.; Rodríguez, José.

En: IEEE Transactions on Industrial Electronics, Vol. 56, N.º 6, 01.07.2009, p. 1916-1924.

Resultado de la investigación: Article

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KW - Induction motor drives

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