![]() Unlike the reported vector space decomposing (VSD)-based FCS-MPC algorithms, the proposed approach results in four control variables (the stator sequence currents i s α 1, i s β 1, i s α 2, and i s β 2) which have the same priority. In this paper, the prediction stage of FCS-MPC for asymmetrical six-phase (A6P) induction motor (IM) has been reformulated based on double dq (2dq) modeling approach. Thus, assuming a constant WF can result in poor performance. ![]() ![]() One of the widely reported challenges related to FCS-MPC is the weighting factor (WF) design, which is empirically designed and found to be an operating point dependent factor. Nevertheless, FCS-MPC generally experiences some technical limitations. Finite control set model predictive control (FCS-MPC), in particular, has been proposed to drive multi-phase machines to avoid sophisticated pulse width modulation (PWM) methods. Control of multi-phase machine in both healthy and post-fault operations has recently gained considerable interest.
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