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In this paper, a novel magnetic parameter design methodology is proposed for switched reluctance motors (SRMs). Based on the nonlinear characteristic of flux linkage, the design equations of structural and winding parameters are derived. The benefit is that there are no meaningless empirical design coefficients in the proposed design methodology. Three SRMs with multiple phases, i.e., 12/8, 10/8, and 18/20 stator/rotor poles SRMs, are initially designed according to the derived equations. Then, multiobjective optimization is carried out to realize the design objectives of output torque, current density, and torque ripple. The design solutions of the three SRMs with similar current density and slot fill factor are selected from the Pareto front, respectively, and the performance comparisons are conducted. The proposed design methodology is verified by the selected optimal solutions after the substitution into the design equations. Finally, the designed SRMs are prototyped and tested to validate the simulation results and further verify the effectiveness of the proposed design methodology. [ABSTRACT FROM AUTHOR]

In this paper, a design optimization method is proposed to reduce the current asymmetric and consequent torque ripple for a six-phase Switched Reluctance Motor (SRM). First, the inconsistent current phenomenon of the investigated SRM is introduced, and the relationship between the magnetic distribution and the phase currents is investigated by magnetic circuit analysis. Then, for the reduction in computational cost, a surrogate model is utilized to establish the response surface model between the optimization objectives and variables. Furthermore, multiobjective optimization is performed based on structural design optimization and asymmetric control, and the best design solution is selected for the drive system. Compared with the traditional symmetric control, it can be found that the proposed asymmetric control can mitigate the inconsistent phase currents and reduce the torque ripple. Finally, a prototype motor is manufactured and tested. Both the simulation and experimental results verify the effectiveness and the reasonability of the analysis and the optimization. [ABSTRACT FROM AUTHOR]