OPTIMIZATION OF DOUBLE STATOR SWITCHED RELUCTANCE MOTOR USING IMPROVED TAGUCHI'S METHOD

Taguchi's method is an effective multi-variable optimization method based on orthogonal array concept which is offers a systematic and efficient optimization process. In this paper, an improved Taguchi's method for shape optimization of electromagnetic devices is developed and applied to torque profile optimization of Double Stator Switched Reluctance Motor (DSSRM) using Finite Element Analysis (FEA). The proposed method determines parameters which are dependent or have nonlinear effect on the system operation, and uses this information in the optimization process to increase the precision of Taguchi method. This research uses the response table efficiently to obtain the optimum parameter levels. Simulation results show the efficiency and accuracy of the proposed method for optimization of multi variable problems.

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