Geometric Optimization of Switched Reluctance Motors Using an Invasive Weed Method

Abstract

In this work, invasive weed optimization (IWO) is applied to optimizing different geometric design parameters of switched reluctance motors in order to maximize the static torque profile. These parameters are stator yoke thickness, rotor yoke thickness, stator teeth height, and rotor teeth height. Structural mapping is utilized for geometric parameterization thus maintaining the same mesh topology. Finite element analysis is used to obtain the motor static torque profile for a complete electrical cycle using a developed in-house MATLAB tool. The achieved results match well those obtained using the JMAG software.