A Linesearch-Based Algorithm for Topology and Generative Optimization of Switched Reluctance Machines

Abstract

The switched reluctance machine is considered as the simplest machine in terms of the machine structure. The lack of permanent magnets on the rotating part enables the machine to operate at high speeds and reduces the thermal requirements of the machine. However, the double salient structure of the SRMs creates challenges such as high acoustic noise, vibrations and high machine torque ripples. Topology optimization is used in the literature to enhance the dynamic performance of the switched reluctance machines. This paper introduces a new ON/OFF optimization method based on the line search method to overcome the limitations of the conventional annealing-based ON/OFF optimization. The proposed method shows a faster convergence to optimal solutions than the conventional annealing-based ON/OFF method. The paper also compares the performance of the generative optimization and the topology optimization of a 6/14 switched reluctance machine with the proposed method and the conventional method. The two methods are applied to two different design domains of the machine for topology and generative optimization and the results are compared to the results of the annealing-based ON/OFF method. The results show the effectiveness of the newly proposed method.