Multi-Objective Design of Permanent Magnet Brushless DC Machine by Raccoon Optimization Algorithm Combined with Support Vector Machine
摘要
To improve output torque and reduce torque ripple of permanent magnet brushless DC motor, a multi-objective raccoon optimization algorithm based on support vector machine is proposed. The improvement of the multi-objective raccoon optimization algorithm is based on two aspects: the maintenance method of the external archive using fast non-dominated sorting, calculation of crowding distance and elite individual retention strategy, and the selection of global optimal solution according to the selection probability of raccoons.