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多支持向量机融合建模的直线电机设计研究 被引量:1

Fusion of Multiple Support Vector Machine Modeling of Linear Motor
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摘要 主要研究多支持向量机融合建模方法,并使用差分进化算法对模型进行优化。以圆筒直线电机为研究对象,采用有限元法、正交实验设计与随机实验设计结合方法获得直线电机非参数建模的样本空间,建立直线电机的快速计算模型,并验证模型的精度和效率;采用差分进化算法对直线电机结构进行优化设计,并采用有限元模型验证优化结果的可靠性。为多支持向量机融合算法提供了实际验证。 This multi-SVM fusion modeling was introduced and the motor was optimized using the DE. With cylindrical linear induction motor as the research object, the finite element method and orthogonal experimental design and random experimental design were used to obtain the linear motor sample space for non-parametric modeling, and to establish the rapid calculation model of linear motor. Model verification results show that the model has high accuracy and efficiency. The design of the linear motor was optimized using DE and the reliability of optimization results was verified using the FEM, which could provide a practical verification for the multiple SVM fusion algorithm.
出处 《系统仿真学报》 CAS CSCD 北大核心 2012年第11期2366-2371,共6页 Journal of System Simulation
基金 安徽省教育厅重点科研项目资助(KJ2010B283) 安徽省教育厅科研项目资助(KJ2007B065) 国家自然科学基金资助(51277002)
关键词 多支持向量机融合 直线电机 有限元法 建模 差分进化算法 fusion of multiple SVM linear motor FEM model DE
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参考文献9

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