新型直线电机支持向量机非线性建模研究

赵吉文; 刘永斌; 苏亚辉; 孔凡让; 张 平

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新型直线电机支持向量机非线性建模研究

更新时间：2020-08-12

- 新型直线电机支持向量机非线性建模研究
- Research on SVM model of a novel cylinder linear motor
- 光学精密工程 2006年14卷第3期页码：450-455
- 作者机构：
  
  1. 安徽大学电子科学与技术学院,安徽合肥,230029
  2. 中国科学技术大学精密机械与精密仪器系,安徽合肥,230027
- 作者简介：
- 基金信息：
- DOI：
  中图分类号： TM359.4
- 收稿日期：2005-05-16，
  
  修回日期：2006-04-15，
  
  网络出版日期：2006-06-30，
  
  纸质出版日期：2006-06-30
- 稿件说明：
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赵吉文, 刘永斌, 苏亚辉, 等. 新型直线电机支持向量机非线性建模研究[J]. 光学精密工程, 2006,14(3):450-455.

ZHAO Ji-wen, LIU Yong-bin, SU Ya-hui, et al. Research on SVM model of a novel cylinder linear motor[J]. Optics and precision engineering, 2006, 14(3): 450-455.
赵吉文, 刘永斌, 苏亚辉, 等. 新型直线电机支持向量机非线性建模研究[J]. 光学精密工程, 2006,14(3):450-455. DOI：

ZHAO Ji-wen, LIU Yong-bin, SU Ya-hui, et al. Research on SVM model of a novel cylinder linear motor[J]. Optics and precision engineering, 2006, 14(3): 450-455. DOI：

摘要

以一种新型圆筒直线电机为研究对象

通过建立直线电机的有限元模型及试验验证

获得了直线电机的一种仿真计算方法。在正交试验设计和随机试验设计的基础上

建立了直线电机性能参数的样本空间

采用支持向量机(SVM)回归建模方法

建立了直线电机的非线性数学模型

并将有限元模型和SVM模型进行了比较

证实了SVM模型的可靠性和高效性。

Abstract

Through establishing the Finite Element Model(FEM) of a novel linear motor and testing its prototype

a kind of method used in simulating the character of linear motors was obtained. By means of the method of the orthogonal experimental design and the random experimental design

the sample space of the character parameters of the linear motors was established

and by the nonlinear regression method of the Support Vector Machine (SVM)

the nonlinear mathematic model of a novel linear motor was given. Comparing the FEM model with the SVM model in aspect of consistency and computing speed

the authenticity and effectiveness of the SVM model were confirmed.

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Keywords

references

. 叶云岳.直线电机原理与应用[M]. 北京,机械工业出版社,2000. YE Y Y. Application and theory of linear motor[M]. Beijing:Publishing Company of Machinery Industry, 2000.

. 孔凡让,赵吉文. 新型圆筒直线电机推力的解析与数值方法研究[J]. 光学精密工程,2004,12(5):525-530. KONG F R,ZHAO J W. Pushing force analysis of a cylinder linear motor[J]. Optics and Precision Engineering,2004,12 (5):525-530.(in Chinese)

. 赵吉文,孔凡让. 动感雕塑中直线驱动电机的电磁模型及参数优化[J]. 应用科学学报,2005,23(3):. ZHAO J W,KONG F R.Electromagnetic model and parameters optimization of the novel cylinder linear motor used in driving mobile sculpture[J].Journal of Applied Sciences, 2005,23(3):.(in Chinese)

. YASUFUSA T. Reviewing the forces of electret motors by applying Maxwell stress tensor and delua function[J].Japanese Journal of Applied Physics,1995,34(3):1595-1600.

. CORDA J, OUHAB B.Electromagnetic design optimization of a linear-cylindrical variable-reluctance motor[J]. IEE Conference Publication,1999,(468):276-280.

. BYUNG-IL K,KYUNG-Il W,SOL K.Finite element analysis of direct thrust-controlled linear induction motor[J].IEEE Transactions on Magnetics,1999,3(1):1306-1309.

. TAKEFUMI K,YASUHITO U. Electromagnetic force calculation model . COMPEL-The International Journal for Computation and Mathematics in Electrical and Electronic Engineering,1990,9:314-315.

. BOSER B E, GUYON I M, VAPNIK V N. A training algorithm for optimal margin classifiers . 5th Annual ACM Workshop on COLT. Pittsburgh, PA: CM press, 1992:144-152.

. STEVE G. Support vector machines Classification and regression . ISIS Technical Report. Image Speech &Intelligent Systems Group, University of Southampton,1998.

. KWOK T J. Support vector mixture for classification and regression problems[J]. Proceedings of Fourteenth International Conference on Pattern Recognition, 1998,(1):255-258.

. CAMPBELL C. Algorithmic approaches to training support vector machines: a survey . Proceedings of ESANN2000.Belgium: D-Facto Publications, 2000,27-36.

. VAPNIK V. The nature of statistical learning theory[M]. New York: Wiley, 1998.

. SCHOELKOPF B,SMOLA A. Learning with kernels[M]. MIT Press, Cambridge, MA. 2002.

. M LLER K R,MIKA S,R TSCH G,et al.An introduction to kernel-based learning algorithms[M]. IEEE Trans. Neural Network,2001,12:181-201.

. 吴喜之.非参数统计[M]. 北京:中国统计出版社,1999. WU X ZH. Distribution free statistics[M]. Beijing:Statistics Publishing Company of China, 1999.(in Chinese)

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