Electromagnetic modeling and parameters optimal design of liquid-cooled doubly salient eddy current retarder

摘要

A three-dimensional finite element model of the liquid-cooled doubly salient eddy current retarder (ECR) is applied in this paper, and the problem of magnetic flux leakage is analyzed in-depth. Through designing the sample space of the parameters of the ECR, nonlinear regression modeling of the retarder based on support vector machines (SVM) is presented. And then the structural parameters optimization of the ECR is introduced which is based on Chaos and PSO. The simulation results show that, the nonparametric modeling based on SVM for ECR is accurate, feasible and highly effective. So it is very suitable for large-scale iterative parameter optimization calculations. The combination of FEM and SVM is used to nonparametric modeling, as well as parameter optimization through Chaos and PSO based on the nonparametric modeling. The purpose of minimizing leakage is gained and the correctness of the theoretic analysis is proved by the experimental results. Then it provides a novel method for the optimized design of the liquid-cooled doubly salient eddy current retarder and other electromagnetic engineering.