Parameter optimization of novel cylinder type linear motor based on SVM and genetic algorithm
|更新时间:2020-08-12
|
Parameter optimization of novel cylinder type linear motor based on SVM and genetic algorithm
Optics and Precision EngineeringVol. 14, Issue 5, Pages: 870-875(2006)
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:
CLC:TM359.4
Received:22 November 2005,
Revised:18 August 2006,
Published Online:30 October 2006,
Published:30 October 2006
稿件说明:
移动端阅览
ZHAO Ji-wen, LIU Yong-bin, KONG Fan-rang, et al. Parameter optimization of novel cylinder type linear motor based on SVM and genetic algorithm[J]. Optics and precision engineering, 2006, 14(5): 870-875.
DOI:
ZHAO Ji-wen, LIU Yong-bin, KONG Fan-rang, et al. Parameter optimization of novel cylinder type linear motor based on SVM and genetic algorithm[J]. Optics and precision engineering, 2006, 14(5): 870-875.DOI:
Parameter optimization of novel cylinder type linear motor based on SVM and genetic algorithm
The FEM (Finite Element Method) model of a novel linear motor was established
and then its correction was proofed. To obtain sample space used to establish the nonlinear regression model
the FEM simulation tests were arranged with the methods of orthogonal and random experimental design. Moreover
the nonlinear mathematical model of a novel linear motor was established using nonlinear regression method of the Support Vector Machine (SVM). Then the optimum structure parameters was obtained by optimizing the structure parameters with Genetic Algorithms(GA). At last
the FEM simulating results show that the parameter optimization method based on SVM and GA is feasible for researching the new cylinder type linear motor.