Title :
Optimization of Electromagnetic Radial Bearing Structures Based on Genetic Algorithm
Author_Institution :
Coll. of Comput., Shandong Ying Cai Univ., Jinan, China
Abstract :
In this paper taking structure parameters as variables, and considering the mechanical restriction and temperature rise in it, we study the maximal force and minimal coil inductance. Based on fundamental of genetic algorithm (GA), we use its eximious character and associate with trait of Radial Bearing, Using dynamic programming, we construct mathematical model of Radial Bearing, thereby solve its it´s Multi-Objective Optimization.
Keywords :
dynamic programming; genetic algorithms; magnetic bearings; GA; dynamic programming; electromagnetic radial bearing structures; genetic algorithm; mathematical model; maximal force; mechanical restriction; minimal coil inductance; multiobjective optimization; temperature rise; Electromagnetics; Genetic algorithms; Mathematical model; Optimization; Sociology; Statistics; Stators; algorithm; electromagnetic radial bearing; genetic; multi-objective optimization;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
Conference_Location :
Shiyang
DOI :
10.1109/ICCIS.2013.283
