Gravity Neighborhood Estimation Algorithm Based for Cylinder Linear Motor Parameter Optimization

Wei Hu; Ji Wen Zhao

doi:10.4028/www.scientific.net/AMM.416-417.87

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 416-417Gravity Neighborhood Estimation Algorithm Based...

Gravity Neighborhood Estimation Algorithm Based for Cylinder Linear Motor Parameter Optimization

Abstract:

According to the problem of the optimization of cylinder linear motor,inspired by force balance relationship of the gravity center of a sand table,a new method of optimization algorithm is provided based on the adjacent relation between the global optimal and function center of gravity.In order to find the global optimum, introduction of filling control factors,through the function space center of gravity move,constructing a narrow range of neighborhood to make function center of gravity value gradually approximate optimal value.With the goal that the cylinder linear motor output thrust as large as possible,and at the time starting current as small as possible,using the center of gravity neighborhood estimation algorithm for the optimization.Test results show that the proposed algorithm is a kind of effective parameters optimization method.

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Periodical:

Applied Mechanics and Materials (Volumes 416-417)

Pages:

87-92

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.416-417.87

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Online since:

September 2013

Authors:

Wei Hu, Ji Wen Zhao

Keywords:

Filled Function, Global, Gravity Center, Neighborhood

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