Data-Driven Optimization of Torque Distribution Function for Torque Ripple Minimization of Switched Reluctance Motor

Due to the high non-linearity of SRM, conventional control techniques proves inadequate for high performance SRM drives producing high torque ripple. By using torque distribution function (TDF) to distribute torque in adjacent phases during the commutation instants, torque ripple is reduced. Hysteresis current controller is used to control phase currents to enforce the commanded torque reference. An optimal torque distribution function is found which is a function of reference torque and rotor position to minimize torque ripple. The limit of di dt of individual phases and total torque reference forms the constraints for the optimization problem. Two objective functions for the optimization problem is found. The data required for the simulation and control is obtained from finite element analysis (FEA) of 1kW, 230V, 3000rpm SRM using ANSYS Maxwell. Simulation of the proposed method is done in MATLAB/Simulink to validate the method.