Reducing Calculation Time in Finite-Set Model Predictive Control of Open-End Winding Synchronous Reluctance Motors

The switching state selection for the dual inverters utilized to drive open-end winding motors requires a high calculation time. This paper aims to reduce the calculation time and simplify the implementation process in the finite-set model predictive control of the open-end winding synchronous reluctance motor. Therefore, a new predictive algorithm is presented, which decouples the switching of the two inverters that assemble the dual inverter. In the proposed method, the predictive algorithm is repeated only 10 times, which is 63% less than that of the conventional algorithm with 27 repetitions. Moreover, the proposed method considers the polarity of the zero-sequence current for the selection of the switching states to prevent its growth. So, the zero-sequence current is suppressed just by modifying the predictive algorithm without using any controller. The proposed control system is validated by several simulations and experiments.