Experimental Assessment of Weighting-Factorless Predictive Current Control for Asymmetrical Six-Phase Induction Motor

The weighting factor (WF) setting is one of the most challenging tasks related to finite control set model predictive control (FCS-MPC) algorithms in different applications. Recently, a new method has been proposed for weighting factor elimination (WFE) in predictive current control (PCC) of asymmetric six-phase induction motor (A6PIM). This method is based on adopting the double dq (2dq) modeling method for prediction and optimization steps. As a result, the proposed cost function consists of four stator current components with the same priority. Thus, equal weighting factors can be assumed. In this paper, the performance of WFE method is assessed experimentally at different operating conditions. Different figures of merit are used to further compare it with the conventional voltage space decomposition (VSD)-based method. The WFE method is found to have reduced average switching frequency and better current quality. By highlighting the potential and limitations of WFE method it can be used properly based on different applications requirements.