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Optimal Design for A Heteropolar Magnetic Bearing Considering Nonlinearities  

Kim, Chaesil (Dept. of Mechanical Engineering, Changwon National University, Changwon, KyungNam)
Lee, Jaewhoan (Dept. of Mechanical Engineering, Changwon National University, Changwon, KyungNam)
Park, Jong-Kweon (Machine Tools Research Group, Korea Institute of Machinery and Materials)
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Abstract
Although the design of magnetic bearing needs a systematic optimization due to several design variables, constraints, geometric limitations, nonlinearities, and so on, the present designs for magnetic bearings have been conducted in the linear region of the characteristics for magnetic materials by trial and error considering design constraints. This article, therefore, provides the possibility of a genetic algorithm(GA) based optimization with two dimensional nonlinear finite element magnetic field analysis for the design of a radial heteropolar magnetic bearing. The magnetic bearing design by GA based optimization makes good agreements with that by a commercial optimization software DOT using the sensitivity analysis.
Keywords
Optimization; Genetic algorithm; Magnetic bearing;
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