Predictive Torque Control of Induction Machines Based on State-Space Models
Miranda, H.; Cortes, P.; Yuz, J.I.; Rodriguez, J.
Industrial Electronics, IEEE Transactions on
Volume 56, Issue 6, June 2009 Page(s):1916 - 1924
Digital Object Identifier   10.1109/TIE.2009.2014904
Summary: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.

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