Abstract
This paper presents an improved optimum design approach based on genetic algorithm for Switched Reluctance Motor (SRM) with 0.1mm airgap. A simple nonlinear magnetic analysis and an iron loss prediction employed in the previous approach had problems in terms of their analytical accuracies for SRM with short airgap. To improve the computational accuracy, it is reconsidered that how to determine the geometry of a saturable permeance tip in the simple nonlinear magnetic analysis and the coefficients of hysteresis and eddy current losses for iron loss calculation. As a result, it is demonstrated that the computational accuracy of the improved approach is as high as that of 3D FEM. Finally, a 400W SRM with 0.1mm gap is redesigned, by which high efficiency more than 88% at the rated operating point is realized.
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