基于熵权与混合代理模型的永磁驱动器的优化设计

摘要

针对永磁驱动器（ PMD）的结构设计问题，提出一种基于改进熵权法结合混合代理模型的优化设计方法。首先利用基于交叉验证误差的最优加权法，将响应曲面法、克里金法以及支持向量机回归结合起来，构建PMD的参数变量与响应变量之间的混合代理模型；然后引入改进的熵权法，将PMD的多指标转化为单一综合指标，并建立其优化的数学模型，通过自适应权重粒子群优化算法求解；最后对结果进行有限元仿真分析和实验室仿真平台验证。研究结果表明，所提出的优化设计方法优于其它方法，得到的PMD结构参数合理有效，较好的实现了PMD的多目标优化设计。%Permanent magnet drive ( PMD) design problems were studied and an optimization design ap-proach based on hybrid surrogate model and improved entropy-weight was put forward .Firstly by combi-ning the response surface method ( RSM ) , Kriging method and support vector machine regression ( SVR) ,a hybrid surrogate model of optimizing parameters and response variables was built ,in which the optimal weighting method based on cross validation error is used; Secondly the improved entropy-weight was introduced to transform the multi-indexes of PMD into a single composite one ,and the mathematical model was built ,which was solved by adaptive weight particle swarm optimization particle swarm optimiza-tion( AWPSO);Finally the parameters results were analyzed with finite element method and experimental validation.The results show that the proposed method is superior to other methods ,and the structural pa-rameters are reasonable and effective .And the expected results are derived .