This paper presents an advanced torque ripple minimization method of a switched reluctance motor (SRM) using torque sharing
function (TSF). Generally, TSF is applied into the torque control. However, the conventional TSF cannot follow the expected torque
well because of the nonlinear characteristics of the SRM. Moreover, the tail current that is generated at a high speed motor drive
makes unexpected torque ripples. The proposed method combined TSF with fuzzy logic control (FLC). The advantage of this method
is that the torque can be controlled unity at any conditions. In addition, the controller can track the torque under the condition of
the wrong TSF. The effectiveness of the proposed algorithm is verified by the simulations and experiments.
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