Torque and Force Sharing Functions-Based Predictive Current Control for 12/8 BSRMWR

Due to insufficient current tracking capability, traditional control methods generate significant torque and levitation force ripples, which are detrimental to system stability. This article proposes a novel predictive current control (PCC) algorithm by integrating the structural characteristics of a 12/8 bearingless switched reluctance motor with wider rotor teeth (BSRMWR). Compared to conventional predictive current methods, the proposed algorithm eliminates the need for prestored magnetic flux or inductance tables, significantly simplifying implementation. Furthermore, to minimize copper loss, the reference current criteria are optimized using a Lagrange function. A novel force sharing function (FSF) is also designed to compensate for computational delays. Finally, simulation and experimental results validate the effectiveness and feasibility of the proposed method.