Tolerance allocation in electric machine based on stochastic response surface methodology

Author

Kim, Young-Kyoun ; Kim, Sung-Il ; Rhyu, Se-Hyun ; Jung, In-Soung

Author_Institution

Korea Electron. Technol. Inst., Seongnam, South Korea

fYear

2010

fDate

6-8 Sept. 2010

Firstpage

1

Lastpage

4

Abstract

In electric machine design, tolerance analysis and allocation must be adopted to predict the effect of mechanical tolerances or assembly inaccuracies as regards the performance of the machine designed by optimization technique. Accordingly, this paper proposes stochastic response surface method combined with genetic algorithm to achieve more accurate tolerance design. The proposed method is applied for the allowance on torque characteristic of a switched reluctance motor with barrier.

Keywords

fault tolerance; genetic algorithms; reluctance motors; response surface methodology; stochastic processes; torque; electric machine design; genetic algorithm; mechanical tolerances; optimization; stochastic response surface method; switched reluctance motor; tolerance allocation analysis; torque; Polynomials; Random variables; Reluctance motors; Resource management; Torque; Uncertainty; Optimization; stochastic response surface method (SRSM); switched reluctance motor (SRM); tolerance design;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Machines (ICEM), 2010 XIX International Conference on

Conference_Location

Rome

Print_ISBN

978-1-4244-4174-7

Electronic_ISBN

978-1-4244-4175-4

Type

conf

DOI

10.1109/ICELMACH.2010.5608204

Filename

5608204