Model Modulated Predictive Control (M2PC) of Induction Motors including Magnetic Saturation and Iron Losses

This paper proposes a Model Modulated Predictive Control (M2PC) for rotating induction motors (RIM) taking into consideration both the magnetic saturation and the iron losses. The proposed M2PC is based on a previously developed dynamic model of the RIM considering both self and cross saturation and iron losses; the proposed algorithm uses the discrete-time version of the dynamic model to compute the current prediction and the resulting predicted current error. The built-in PWM modulator chooses the optimal pair of voltage space-vector to be applied by the inverter to minimize the current error. The magnetic model permits obtaining good dynamic performance in every working condition. The results obtained in numerical simulation have shown that the control can maintain good dynamic performances in both loaded and unloaded working conditions.