Modeling and optimization of spherical motor based on support vector machine and chaos

Author

Ju, Lufeng ; Wang, Qunjing ; Qian, Zhe ; Wang, Anbang ; Liu, Jun

Author_Institution

Sch. of Electr. Eng. & Autom., Hefei Univ. of Technol., Hefei, China

fYear

2009

fDate

15-18 Nov. 2009

Firstpage

1

Lastpage

4

Abstract

Three dimension finite element model (3D-FEM) of the spherical motor is presented in this paper. By analysis of one pair of stator-rotor poles, nonlinear regression model of one pair of stator-rotor poles based on the support vector machine (SVM) is introduced. Parameters optimization of one pair of stator-rotor poles for the maximal torque is also introduced which is based on chaos and uses the SVM regression model. Simulation results prove that using the SVM nonparametric modeling and parameter optimization based on chaos provide a novel way for finding the optimal structural parameters of the spherical motor.

Keywords

chaos; finite element analysis; permanent magnet motors; regression analysis; rotors; stators; support vector machines; SVM nonparametric modeling; chaos; finite element model; nonlinear regression model; optimal structural parameter; spherical motor parameter optimization; stator-rotor poles; support vector machine regression model; Chaos; Finite element methods; Optimization methods; Permanent magnet motors; Reluctance motors; Rotors; Stator cores; Structural engineering; Support vector machines; Torque; chaos; finite element model; optimization; spherical motor; support vector machine;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Machines and Systems, 2009. ICEMS 2009. International Conference on

Conference_Location

Tokyo

Print_ISBN

978-1-4244-5177-7

Electronic_ISBN

978-4-88686-067-5

Type

conf

DOI

10.1109/ICEMS.2009.5382654

Filename

5382654