DocumentCode :
2049493
Title :
The optimal lamination approach (OLA) to induction machine design global optimization
Author :
Madescu, G. ; Boldea, I. ; Miller, T.J.E.
Author_Institution :
Acad. of Sci., Timisoara, Romania
Volume :
1
fYear :
1996
fDate :
6-10 Oct 1996
Firstpage :
574
Abstract :
The induction motor design represents a complex multivariable optimization mathematical problem with constraints. Even advanced mathematical tools do not guarantee a global optimum. Based on a nonlinear analytical field-circuit model, the paper introduces a novel practical approach structured into two stages: the optimal lamination and the longitudinal optimization. The first stage-divided into three substages-produces a unique optimal lamination crest section for given external stator diameter and number of poles, based on the criterion of maximum airgap flux density for given airgap and magnetization m.m.f. With only the external diameter as an independent variable, in the second stage, the chosen optimization objective function is minimized (maximized) in a straight forward iterative manner. Numerous practical examples have produced a global optimum. The total computation time for an optimal case study is less than one hour on a PC-486, meeting thus the claims of real practicality
Keywords :
air gaps; induction motors; laminations; machine theory; magnetic flux; optimisation; stators; PC-486; complex multivariable optimization; external stator diameter; global optimization; induction machine design; longitudinal optimization; magnetization magnetomotive force; maximum airgap flux density; nonlinear analytical field-circuit model; optimal lamination; optimal lamination approach; Core loss; Design optimization; Induction machines; Induction motors; Lamination; Magnetization; Reactive power; Rotors; Stator cores; Teeth;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industry Applications Conference, 1996. Thirty-First IAS Annual Meeting, IAS '96., Conference Record of the 1996 IEEE
Conference_Location :
San Diego, CA
ISSN :
0197-2618
Print_ISBN :
0-7803-3544-9
Type :
conf
DOI :
10.1109/IAS.1996.557093
Filename :
557093
Link To Document :
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