Model Predictive Torque Control for Multilevel Inverter fed Induction Machines Using Sorting Networks

Model Predictive Control is a promising technique for electric drive control, as it enables optimization multiple parameters and offers reliable operation with non-linear systems. For induction machine drives can be realized using separate cost functions the torque stator flux. Although this eliminates problem of calculating any weighting factor, selection final voltage vector requires an additional sorting algorithm. By increasing number levels or prediction horizon, algorithm becomes more time-intensive, which severely impair performance control This paper introduces novel hybrid consisting two networks merging step. As case study, described method applied high rated frequency fed by three-level inverter, while also discussing implementation issues. Experimental results verify devised