Extending Maximum Speed of Torque Sharing Function Method in Switched Reluctance Motor

Torque sharing function (TSF) method is a widely used torque control method of switched reluctance motor (SRM) which can effectively reduce the torque ripple. However, the method usually suffers a limited speed range due to the poor current or flux linkage tracking ability as speed goes up. The previous offline TSF works done by other groups considered mainly the minimization of copper loss as a primary objective in the optimization while the allowed maximum speed was not treated as the target for optimization, but just as one of the constraints used in genetic algorithm (GA). In this study, the primary goal was to obtain TSF for use in the operating speed as high as possible. The first attempt was to fiddle and tune the known parameter used in the TSF optimization done by other groups and it is found to have some but limited improvement on the maximum speed. The next attempt was to modify TSF by minimization of the flux linkage change rate as the objective in GA and it showed a much higher operating speed than the one from the first attempt. Simulation is carried out in MATLAB/Simulink environment by using a 3-phase SRM.