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Topology optimization of rotor design in switched reluctance motor using immune algorithm

A topology optimization of rotor design in switched reluctance (SR) motors based on immune algorithm and ON/OFF method to obtain practical shapes is presented in this paper. The topology optimization using evolutionary algorithms such as genetic algorithm often obtains complex shapes that are impossible to produce in engineering sense. To solve this difficulty, a filtering process is introduced in the present algorithm based on the immune algorithm. The current waveform in SR motors strongly depend on the inductance that varies by the shape of rotor. This results in high computational cost of numerical analysis to obtain the torque property. In this study, a simple estimation method to calculate the current waveform is introduced. This method enable to reduce the computational cost and perform the topology optimization in a practical time. The present method is applied to a topology optimization of SR motor. Optimization results show that feasible shapes are obtained and torque property is improved.