Optics and Precision Engineering, Volume. 14, Issue 5, 870(2006)
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.
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ZHAO Ji-wen, LIU Yong-bin, KONG Fan-rang, ZHANG Ping, SUN Bing-yu. Parameter optimization of novel cylinder type linear motor based on SVM and genetic algorithm[J]. Optics and Precision Engineering, 2006, 14(5): 870
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Received: Nov. 22, 2005
Accepted: --
Published Online: Feb. 28, 2010
The Author Email: Ji-wen ZHAO (ustczjw@ustc.edu)
CSTR:32186.14.